format

src/zarr/core/array.py

@@ -2218,7 +2218,7 @@ def __array__(
             raise ValueError(msg)
 
         arr_np = self[...]
-        if self.ndim==0:
+        if self.ndim == 0:
             arr_np = np.array(arr_np)
 
         if dtype is not None:

src/zarr/core/buffer/core.py

@@ -138,8 +138,9 @@ def __setitem__(self, key: slice, value: Any) -> None:
             raise IndexError("Invalid index for scalar")
         self._value = value
 
-    def __array__(self, dtype: npt.DTypeLike | None = None, copy: bool | None = None
-) -> npt.NDArray[Any]:
+    def __array__(
+        self, dtype: npt.DTypeLike | None = None, copy: bool | None = None
+    ) -> npt.NDArray[Any]:
         return np.array(self._value, dtype=dtype, copy=copy)
 
     def reshape(

tests/test_array.py

@@ -31,7 +31,7 @@
     chunks_initialized,
     create_array,
 )
-from zarr.core.buffer import default_buffer_prototype, NDArrayLike
+from zarr.core.buffer import NDArrayLike, default_buffer_prototype
 from zarr.core.buffer.core import ScalarWrapper
 from zarr.core.buffer.cpu import NDBuffer
 from zarr.core.chunk_grids import _auto_partition
@@ -1257,6 +1257,7 @@ async def test_create_array_v2_no_shards(store: MemoryStore) -> None:
             zarr_format=2,
         )
 
+
 @pytest.mark.parametrize("value", [1, 1.4, "a", b"a", np.array(1)])
 def test_scalar_array(value: Any) -> None:
     arr = zarr.array(value)
@@ -1282,7 +1283,7 @@ def test_scalar_array(value: Any) -> None:
         assert x / 2 == value / 2
         assert x // 2 == value // 2
         assert x % 2 == value % 2
-        assert x ** 2 == value ** 2
+        assert x**2 == value**2
         assert x == value
         assert x != value + 1
         assert bool(x) == bool(value)