[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

src/spatialdata_plot/pl/render.py

@@ -1348,8 +1348,9 @@ def _render_labels(
         else:
             assert color_source_vector is None
 
-    def _draw_labels(seg_erosionpx: int | None, seg_boundaries: bool, alpha: float, 
-                    outline_color = None) -> matplotlib.image.AxesImage:
+    def _draw_labels(
+        seg_erosionpx: int | None, seg_boundaries: bool, alpha: float, outline_color=None
+    ) -> matplotlib.image.AxesImage:
         labels = _map_color_seg(
             seg=label.values,
             cell_id=instance_id,
@@ -1405,7 +1406,7 @@ def _draw_labels(seg_erosionpx: int | None, seg_boundaries: bool, alpha: float,
             seg_erosionpx=render_params.contour_px,
             seg_boundaries=True,
             alpha=render_params.outline_alpha,
-            outline_color=render_params.outline_color
+            outline_color=render_params.outline_color,
         )
 
         # pass the less-transparent _cax for the legend

src/spatialdata_plot/pl/utils.py

@@ -13,10 +13,10 @@
 import dask
 import datashader as ds
 import matplotlib
+import matplotlib.colors as mcolors
 import matplotlib.patches as mpatches
 import matplotlib.path as mpath
 import matplotlib.pyplot as plt
-import matplotlib.colors as mcolors
 import matplotlib.ticker
 import matplotlib.transforms as mtransforms
 import numpy as np
@@ -56,7 +56,6 @@
 from shapely.errors import GEOSException
 from skimage.color import label2rgb
 from skimage.morphology import erosion, footprint_rectangle
-from skimage.segmentation import find_boundaries
 from skimage.util import map_array
 from spatialdata import (
     SpatialData,
@@ -1213,7 +1212,7 @@ def _map_color_seg(
     if seg_boundaries:
         if seg.shape[0] == 1:
             seg = np.squeeze(seg, axis=0)
-        
+
         # Binary boundary mask
         boundary_mask = seg.astype(bool)
 
@@ -1234,11 +1233,11 @@ def _map_color_seg(
         else:
             # assume it's your Color object
             outline_rgba = mcolors.to_rgba(outline_color.get_hex_with_alpha())
-            
+
         # Apply outline color to boundary pixels, but keep original alpha from val_im
-        seg_float[boundary_mask, :3] = outline_rgba[:3]      # RGB
+        seg_float[boundary_mask, :3] = outline_rgba[:3]  # RGB
         seg_float[boundary_mask, 3] = alpha_channel[boundary_mask] * outline_rgba[3]  # scale alpha
-        
+
         return seg_float  # H x W x 4, valid RGBA
 
     if len(val_im.shape) != len(seg_im.shape):