class_docstr: Vectorized slice/HARM sampler.
  
  Can revert until all previous steps have likelihoods allL above Lmin.
  Updates currentt, generation and allL, in-place.
docstr: Return compact string representation of the current status.
docstr_tok: ["Return","compact","string","representation","of","the","current","status","."]
code: def status(self):
      """Return compact string representation of the current status."""
      s1 = "G:" + "".join(
          ["%d" % g if g >= 0 else "_" for g in self.generation]
      )
      s2 = "S:" + "".join(
          [
              "S"
              if not np.isfinite(self.currentt[i])
              else "L"
              if self.searching_left[i]
              else "R"
              if self.searching_right[i]
              else "B"
              for i in range(self.popsize)
          ]
      )
      return s1 + "  " + s2
  
imports: import numpy
  from ultranest.utils import submasks
  from ultranest.stepfuncs import evolve, step_back
  from ultranest.stepfuncs import generate_cube_oriented_direction, generate_cube_oriented_direction_scaled
  from ultranest.stepfuncs import generate_random_direction, generate_region_oriented_direction, generate_region_random_direction
  from ultranest.stepfuncs import generate_differential_direction, generate_mixture_random_direction
  import scipy.stats
label_desc: Use image node_id 6 for calling the PopulationSliceSampler obj's underlying member method code with example usage: obj.status() and returns: unknown