small updates for zarrv3 branch

src/napari_spatialdata/_viewer.py

@@ -18,7 +18,7 @@
 from spatialdata import get_element_annotators, get_element_instances
 from spatialdata._core.query.relational_query import _left_join_spatialelement_table
 from spatialdata._types import ArrayLike
-from spatialdata.models import PointsModel, ShapesModel, TableModel, force_2d, get_channels
+from spatialdata.models import PointsModel, ShapesModel, TableModel, force_2d, get_channel_names
 from spatialdata.transformations import Affine, Identity
 
 from napari_spatialdata._model import DataModel
@@ -473,7 +473,7 @@ def get_sdata_image(self, sdata: SpatialData, key: str, selected_cs: str, multi:
         affine = _get_transform(sdata.images[original_name], selected_cs)
         rgb_image, rgb = _adjust_channels_order(element=sdata.images[original_name])
 
-        channels = ("RGB(A)",) if rgb else get_channels(sdata.images[original_name])
+        channels = ("RGB(A)",) if rgb else get_channel_names(sdata.images[original_name])
 
         adata = AnnData(shape=(0, len(channels)), var=pd.DataFrame(index=channels))
 

tests/conftest.py

@@ -25,7 +25,7 @@
 
 from napari_spatialdata.utils._test_utils import export_figure, save_image
 
-OFFSCREEN = os.environ.get('QT_QPA_PLATFORM', '') == 'offscreen'
+OFFSCREEN = os.environ.get("QT_QPA_PLATFORM", "") == "offscreen"
 
 HERE: Path = Path(__file__).parent
 

tests/test_interactive.py

@@ -11,7 +11,7 @@
 from spatialdata.models import Image2DModel
 
 from napari_spatialdata._interactive import Interactive
-from tests.conftest import PlotTester, PlotTesterMeta, OFFSCREEN
+from tests.conftest import OFFSCREEN, PlotTester, PlotTesterMeta
 
 ARM_PROBLEM = (
     parse_version(version("numpy")) < parse_version("2") and sys.platform == "darwin" and platform.machine() == "arm64"

tests/test_widgets.py

@@ -91,7 +91,7 @@ def test_change_layer(
     sdata_blobs: SpatialData,
 ) -> None:
     table = sdata_blobs["table"].copy()
-    table.obs["region"] = "blobs_labels"
+    table.obs["region"] = pd.Categorical(["blobs_labels"] * table.n_obs)
     table.uns["spatialdata_attrs"]["region"] = "blobs_labels"
     table.var_names = pd.Index([i + "_second" for i in table.var_names])
     sdata_blobs["second_table"] = table