def test_set_obs(adata, subset_func):
    init_hash = joblib.hash(adata)

    subset = adata[subset_func(adata.obs_names), :]

    new_obs = pd.DataFrame(
        dict(a=np.ones(subset.n_obs), b=np.ones(subset.n_obs)),
        index=subset.obs_names,
    )

    assert subset.is_view
    subset.obs = new_obs
    assert not subset.is_view
    assert np.all(subset.obs == new_obs)

    assert joblib.hash(adata) == init_hash
def is_sql_dirty(sql):
    # This should not happen as using bytes in Python 3 is against db protocol,
    # but some people will pass it anyway
    if isinstance(sql, bytes):
        sql = sql.decode()
    # NOTE: not using regex here for speed
    sql = sql.lower()
    for action in ('update', 'insert', 'delete'):
        p = sql.find(action)
        if p == -1:
            continue
        start, end = p - 1, p + len(action)
        if (start < 0 or sql[start] not in CHARS) and (end >= len(sql) or sql[end] not in CHARS):
            return True
    else:
        return False