def test_view_delitem(attr):
    adata = gen_adata((10, 10))
    getattr(adata, attr)["to_delete"] = np.ones((10, 10))
    # Shouldn’t be a subclass, should be an ndarray
    assert type(getattr(adata, attr)["to_delete"]) is np.ndarray
    view = adata[5:7, :][:, :5]
    adata_hash = joblib.hash(adata)
    view_hash = joblib.hash(view)

    getattr(view, attr).__delitem__("to_delete")

    assert not view.is_view
    assert "to_delete" not in getattr(view, attr)
    assert "to_delete" in getattr(adata, attr)
    assert adata_hash == joblib.hash(adata)
    assert view_hash != joblib.hash(view)
def test():
    start = time.time()
    treap = None
    s = set()
    for i in range(100000):
        key = random.randint(0, 10000)
        if random.randint(0, 1) == 0:
            if key in s:
                treap = remove(treap, key)
                s.remove(key)
        elif key not in s:
            treap = insert(treap, key)
            s.add(key)
        assert len(s) == size(treap)

    for i in range(size(treap)):
        assert kth(treap, i) in s
    print(time.time() - start)