convert .data to numpy, can't assume that array_api data will do that.

xarray/tests/test_namedarray.py

@@ -24,6 +24,7 @@
         _DType,
         _Shape,
         duckarray,
+        _arrayapi,
     )
     from xarray.namedarray.utils import Default
 
@@ -67,13 +68,13 @@ def test_namedarray_init() -> None:
     expected = np.array([1, 2], dtype=dtype)
     actual: NamedArray[Any, np.dtype[np.int8]]
     actual = NamedArray(("x",), expected)
-    assert np.array_equal(actual.data, expected)
+    assert np.array_equal(np.asarray(actual.data), expected)
 
     with pytest.raises(AttributeError):
         expected2 = [1, 2]
         actual2: NamedArray[Any, Any]
         actual2 = NamedArray(("x",), expected2)  # type: ignore[arg-type]
-        assert np.array_equal(actual2.data, expected2)
+        assert np.array_equal(np.asarray(actual2.data), expected2)
 
 
 @pytest.mark.parametrize(
@@ -102,7 +103,7 @@ def test_from_array(
     else:
         actual = from_array(dims, data)
 
-        assert np.array_equal(actual.data, expected)
+        assert np.array_equal(np.asarray(actual.data), expected)
 
 
 def test_from_array_with_masked_array() -> None:
@@ -115,7 +116,8 @@ def test_from_array_with_masked_array() -> None:
 def test_from_array_with_0d_object() -> None:
     data = np.empty((), dtype=object)
     data[()] = (10, 12, 12)
-    np.array_equal(from_array((), data).data, data)
+    narr = from_array((), data)
+    np.array_equal(np.asarray(narr.data), data)
 
 
 # TODO: Make xr.core.indexing.ExplicitlyIndexed pass as a subclass of_arrayfunction_or_api
@@ -141,7 +143,7 @@ def test_properties() -> None:
     named_array: NamedArray[Any, Any]
     named_array = NamedArray(["x", "y"], data, {"key": "value"})
     assert named_array.dims == ("x", "y")
-    assert np.array_equal(named_array.data, data)
+    assert np.array_equal(np.asarray(named_array.data), data)
     assert named_array.attrs == {"key": "value"}
     assert named_array.ndim == 2
     assert named_array.sizes == {"x": 2, "y": 5}
@@ -163,7 +165,7 @@ def test_attrs() -> None:
 def test_data(random_inputs: np.ndarray[Any, Any]) -> None:
     named_array: NamedArray[Any, Any]
     named_array = NamedArray(["x", "y", "z"], random_inputs)
-    assert np.array_equal(named_array.data, random_inputs)
+    assert np.array_equal(np.asarray(named_array.data), random_inputs)
     with pytest.raises(ValueError):
         named_array.data = np.random.random((3, 4)).astype(np.float64)
 
@@ -182,11 +184,11 @@ def test_real_and_imag() -> None:
     named_array = NamedArray(["x"], arr)
 
     actual_real: duckarray[Any, np.dtype[np.float64]] = named_array.real.data
-    assert np.array_equal(actual_real, expected_real)
+    assert np.array_equal(np.asarray(actual_real), expected_real)
     assert actual_real.dtype == expected_real.dtype
 
     actual_imag: duckarray[Any, np.dtype[np.float64]] = named_array.imag.data
-    assert np.array_equal(actual_imag, expected_imag)
+    assert np.array_equal(np.asarray(actual_imag), expected_imag)
     assert actual_imag.dtype == expected_imag.dtype
 
 
@@ -215,7 +217,7 @@ def test_0d_object() -> None:
     named_array = from_array([], (10, 12, 12))
     expected_data = np.empty((), dtype=object)
     expected_data[()] = (10, 12, 12)
-    assert np.array_equal(named_array.data, expected_data)
+    assert np.array_equal(np.asarray(named_array.data), expected_data)
 
     assert named_array.dims == ()
     assert named_array.sizes == {}