def test_view_delattr(attr, subset_func):
    base = gen_adata((10, 10))
    orig_hash = joblib.hash(base)
    subset = base[subset_func(base.obs_names), subset_func(base.var_names)]
    empty = ad.AnnData(obs=subset.obs[[]], var=subset.var[[]])

    delattr(subset, attr)

    assert not subset.is_view
    # Should now have same value as default
    assert_equal(getattr(subset, attr), getattr(empty, attr))
    assert orig_hash == joblib.hash(base)  # Original should not be modified
def make_data(cuda=False):
    train_x = torch.linspace(0, 1, 100)
    train_y = torch.sin(train_x * (2 * pi))
    train_y.add_(torch.randn_like(train_y), alpha=1e-2)
    test_x = torch.rand(51)
    test_y = torch.sin(test_x * (2 * pi))
    if cuda:
        train_x = train_x.cuda()
        train_y = train_y.cuda()
        test_x = test_x.cuda()
        test_y = test_y.cuda()
    return train_x, train_y, test_x, test_y