- implement sliced views, including min, max, sum and mean operations

tests/test_slicing.py

@@ -12,19 +12,24 @@ from ndbioimage import Imread
 
 @pytest.fixture
 def array():
-    return np.random.randint(0, 255, (64, 64, 2, 3, 4), 'uint8')
+    return np.random.randint(0, 255, (64, 64, 2, 3, 4), "uint8")
+
 
 @pytest.fixture()
 def image(array):
     with tempfile.TemporaryDirectory() as folder:
         file = Path(folder) / "test.tif"
-        tiffwrite(file, array, 'yxczt')
-        with Imread(file, axes='yxczt') as im:
+        tiffwrite(file, array, "yxczt")
+        with Imread(file, axes="yxczt") as im:
             yield im
 
 
-@pytest.mark.parametrize('s', combinations_with_replacement(
-    (0, -1, 1, slice(None), slice(0, 1), slice(-1, 0), slice(1, 1)), 5))
+@pytest.mark.parametrize(
+    "s",
+    combinations_with_replacement(
+        (0, -1, 1, slice(None), slice(0, 1), slice(-1, 0), slice(1, 1)), 5
+    ),
+)
 def test_slicing(s, image, array):
     s_im, s_a = image[s], array[s]
     if isinstance(s_a, Number):