diff --git a/geo2ml/data/cv.py b/geo2ml/data/cv.py
index 6a7b26a..f5d2284 100644
--- a/geo2ml/data/cv.py
+++ b/geo2ml/data/cv.py
@@ -351,9 +351,11 @@ def shp_to_coco_results(
                 "image_id": image_id,
                 "category_id": getattr(row, label_col),
                 "segmentation": None,
-                "score": np.round(getattr(row, "score"), 5)
-                if "score" in tfmd_gdf.columns
-                else 0.0,
+                "score": (
+                    np.round(getattr(row, "score"), 5)
+                    if "score" in tfmd_gdf.columns
+                    else 0.0
+                ),
             }
             ann = _process_shp_to_coco(
                 image_id, getattr(row, label_col), 0, row.geometry, rotated_bbox
diff --git a/geo2ml/data/tiling.py b/geo2ml/data/tiling.py
index c4ae0ae..7e72fb5 100644
--- a/geo2ml/data/tiling.py
+++ b/geo2ml/data/tiling.py
@@ -77,6 +77,7 @@ def tile_raster(
                     enumerate(range(0, x, self.gridsize_x - self.overlap[0])),
                 )
             ):
+
                 if dy + self.gridsize_y > y and not allow_partial_data:
                     continue
                 if dx + self.gridsize_x > x and not allow_partial_data:
@@ -155,9 +156,11 @@ def tile_vector(
             if len(tempvector) == 0:
                 continue
             tempvector["geometry"] = tempvector.apply(
-                lambda row: fix_multipolys(row.geometry)
-                if row.geometry.geom_type == "MultiPolygon"
-                else shapely.geometry.Polygon(row.geometry.exterior),
+                lambda row: (
+                    fix_multipolys(row.geometry)
+                    if row.geometry.geom_type == "MultiPolygon"
+                    else shapely.geometry.Polygon(row.geometry.exterior)
+                ),
                 axis=1,
             )
             if output_format == "geojson":