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

tests/test_ufuncs.py

@@ -11,21 +11,42 @@ from ndbioimage import Imread
 
 @pytest.fixture
 def array():
-    return np.random.randint(0, 255, (64, 64, 2, 3, 4), 'uint16')
+    return np.random.randint(0, 255, (64, 64, 2, 3, 4), "uint16")
+
 
 @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('fun_and_axis', product(
-    (np.sum, np.nansum, np.min, np.nanmin, np.max, np.nanmax, np.argmin, np.argmax,
-     np.mean, np.nanmean, np.var, np.nanvar, np.std, np.nanstd), (None, 0, 1, 2, 3, 4)))
+@pytest.mark.parametrize(
+    "fun_and_axis",
+    product(
+        (
+            np.sum,
+            np.nansum,
+            np.min,
+            np.nanmin,
+            np.max,
+            np.nanmax,
+            np.argmin,
+            np.argmax,
+            np.mean,
+            np.nanmean,
+            np.var,
+            np.nanvar,
+            np.std,
+            np.nanstd,
+        ),
+        (None, 0, 1, 2, 3, 4),
+    ),
+)
 def test_ufuncs(fun_and_axis, image, array):
     fun, axis = fun_and_axis
-    assert np.all(np.isclose(fun(image, axis), fun(array, axis))), \
-        f'function {fun.__name__} over axis {axis} does not give the correct result'
+    assert np.all(np.isclose(np.asarray(fun(image, axis)), fun(array, axis))), (
+        f"function {fun.__name__} over axis {axis} does not give the correct result"
+    )