def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
def test_packed(self):
        class X(Structure):
            _fields_ = [("a", c_byte),
                        ("b", c_longlong)]
            _pack_ = 1

        self.assertEqual(sizeof(X), 9)
        self.assertEqual(X.b.offset, 1)

        class X(Structure):
            _fields_ = [("a", c_byte),
                        ("b", c_longlong)]
            _pack_ = 2
        self.assertEqual(sizeof(X), 10)
        self.assertEqual(X.b.offset, 2)

        class X(Structure):
            _fields_ = [("a", c_byte),
                        ("b", c_longlong)]
            _pack_ = 4
        self.assertEqual(sizeof(X), 12)
        self.assertEqual(X.b.offset, 4)

        import struct
        longlong_size = struct.calcsize("q")
        longlong_align = struct.calcsize("bq") - longlong_size

        class X(Structure):
            _fields_ = [("a", c_byte),
                        ("b", c_longlong)]
            _pack_ = 8

        self.assertEqual(sizeof(X), longlong_align + longlong_size)
        self.assertEqual(X.b.offset, min(8, longlong_align))


        d = {"_fields_": [("a", "b"),
                          ("b", "q")],
             "_pack_": -1}
        self.assertRaises(ValueError, type(Structure), "X", (Structure,), d)

        # Issue 15989
        d = {"_fields_": [("a", c_byte)],
             "_pack_": _testcapi.INT_MAX + 1}
        self.assertRaises(ValueError, type(Structure), "X", (Structure,), d)
        d = {"_fields_": [("a", c_byte)],
             "_pack_": _testcapi.UINT_MAX + 2}
        self.assertRaises(ValueError, type(Structure), "X", (Structure,), d)