def rs(s, *_): return mindep.randlin_projective(s, **kwds)[-1]
def rand_proj_lin(s, *_): return mindep.randlin_projective(s)[-1]
def random_sample_nobias(s, *_): return mindep.randlin_projective(s)[-1]
def random_sample_best_case_memory_cost(s, *_): _, lin = mindep.randlin_projective(s) return mindep.best_case_memory_cost(s, linearization=lin)
def deplen(s, *_): lin = mindep.randlin_projective(s, head_final_bias=0)[1] return mindep.deplen(s, linearization=lin, filters=filters)