code: def snoise2dvec(size, *params, **kwargs):  #, vlacunarity):
      
      data = (snoise2d(size, *p, **kwargs) for p in zip(*params))  # , vlacunarity))
      return np.stack(data, 0)
docs: vector parameters
      :param size:
      :param vz:
      :param vscale:
      :param voctave:
      :param vpersistence:
      :param vlacunarity:
      :return: