def test_not_set_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(asarray(sparse.random(20, 20))))
    init_hash = joblib.hash(adata)
    orig_X_val = adata.X.copy()
    while True:
        subset_idx = slice_subset(adata.obs_names)
        if len(adata[subset_idx, :]) > 2:
            break
    subset = adata[subset_idx, :]

    subset = adata[:, subset_idx]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.X.shape[1])), subset.var_names
    )
    assert subset.is_view
    subset.X[:, internal_idx] = 1
    assert not subset.is_view
    assert not np.any(asarray(adata.X != orig_X_val))

    assert init_hash == joblib.hash(adata)
def test_intarray_fields(self):
        class SomeInts(Structure):
            _fields_ = [("a", c_int * 4)]

        # can use tuple to initialize array (but not list!)
        self.assertEqual(SomeInts((1, 2)).a[:], [1, 2, 0, 0])
        self.assertEqual(SomeInts((1, 2)).a[::], [1, 2, 0, 0])
        self.assertEqual(SomeInts((1, 2)).a[::-1], [0, 0, 2, 1])
        self.assertEqual(SomeInts((1, 2)).a[::2], [1, 0])
        self.assertEqual(SomeInts((1, 2)).a[1:5:6], [2])
        self.assertEqual(SomeInts((1, 2)).a[6:4:-1], [])
        self.assertEqual(SomeInts((1, 2, 3, 4)).a[:], [1, 2, 3, 4])
        self.assertEqual(SomeInts((1, 2, 3, 4)).a[::], [1, 2, 3, 4])
        # too long
        # XXX Should raise ValueError?, not RuntimeError
        self.assertRaises(RuntimeError, SomeInts, (1, 2, 3, 4, 5))