This mode generates a random subset of the Markush library to give a quick sampling. It is especially helpful for huge libraries where full enumeration is impossible. In random mode variable parts are chosen randomly, and the substitution probability of each definition is proportionate with the fragment library size that the given definition generates. This ensures the generation of uniform distribution of representatives over the Markush library space.