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_positional_args(self):
        # see also http://bugs.python.org/issue5042
        class W(Structure):
            _fields_ = [("a", c_int), ("b", c_int)]
        class X(W):
            _fields_ = [("c", c_int)]
        class Y(X):
            pass
        class Z(Y):
            _fields_ = [("d", c_int), ("e", c_int), ("f", c_int)]

        z = Z(1, 2, 3, 4, 5, 6)
        self.assertEqual((z.a, z.b, z.c, z.d, z.e, z.f),
                         (1, 2, 3, 4, 5, 6))
        z = Z(1)
        self.assertEqual((z.a, z.b, z.c, z.d, z.e, z.f),
                         (1, 0, 0, 0, 0, 0))
        self.assertRaises(TypeError, lambda: Z(1, 2, 3, 4, 5, 6, 7))