def test_view_mixin_copies_data(adata, array_type: type, attr):
    N = 100
    adata = ad.AnnData(
        obs=pd.DataFrame(index=np.arange(N)), var=pd.DataFrame(index=np.arange(N))
    )

    X = array_type(sparse.eye(N, N).multiply(np.arange(1, N + 1)))
    if attr == "X":
        adata.X = X
    else:
        getattr(adata, attr)["arr"] = X

    view = adata[:50]

    if attr == "X":
        arr_view = view.X
    else:
        arr_view = getattr(view, attr)["arr"]

    arr_view_copy = arr_view.copy()

    if sparse.issparse(X):
        assert not np.shares_memory(arr_view.indices, arr_view_copy.indices)
        assert not np.shares_memory(arr_view.indptr, arr_view_copy.indptr)
        assert not np.shares_memory(arr_view.data, arr_view_copy.data)

        arr_view_copy.data[0] = -5
        assert not np.array_equal(arr_view_copy.data, arr_view.data)
    else:
        assert not np.shares_memory(arr_view, arr_view_copy)

        arr_view_copy[0, 0] = -5
        assert not np.array_equal(arr_view_copy, arr_view)
def test_structures_with_wchar(self):
        try:
            c_wchar
        except NameError:
            return # no unicode

        class PersonW(Structure):
            _fields_ = [("name", c_wchar * 12),
                        ("age", c_int)]

        p = PersonW("Someone \xe9")
        self.assertEqual(p.name, "Someone \xe9")

        self.assertEqual(PersonW("1234567890").name, "1234567890")
        self.assertEqual(PersonW("12345678901").name, "12345678901")
        # exact fit
        self.assertEqual(PersonW("123456789012").name, "123456789012")
        #too long
        self.assertRaises(ValueError, PersonW, "1234567890123")