code: def pyunit_assign():
      pros = h2o.import_file(
          pyunit_utils.locate("smalldata/prostate/prostate.csv")
      )
      pq = pros.quantile()
      print("1st percentile for PSA:", pq[0, 7])
      print("99th percentile for PSA:", pq[8, 7])
      PSA_outliers = pros[
          ((pros["PSA"] <= pq[0, 7]) | (pros["PSA"] >= pq[8, 7]))
      ]
      PSA_outliers = h2o.assign(PSA_outliers, "PSA.outliers")
      print(pros)
      print(PSA_outliers)
      assert (
          PSA_outliers.frame_id == "PSA.outliers"
      ), "Expected frame id to be PSA.outliers, but got {0}".format(
          PSA_outliers.frame_id
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: pyunit_assign() without return types