code: def setup_method(self):
      self.df = load_basic_data()
  
      self.expected_baseline = pandas.DataFrame(
          [
              {"censored": True, "conc": 5.0},
              {"censored": True, "conc": 5.0},
              {"censored": True, "conc": 5.5},
              {"censored": True, "conc": 5.75},
              {"censored": True, "conc": 9.5},
              {"censored": True, "conc": 9.5},
              {"censored": True, "conc": 11.0},
              {"censored": False, "conc": 2.0},
              {"censored": False, "conc": 4.2},
              {"censored": False, "conc": 4.62},
              {"censored": False, "conc": 5.57},
              {"censored": False, "conc": 5.66},
              {"censored": False, "conc": 5.86},
              {"censored": False, "conc": 6.65},
              {"censored": False, "conc": 6.78},
              {"censored": False, "conc": 6.79},
              {"censored": False, "conc": 7.5},
              {"censored": False, "conc": 7.5},
              {"censored": False, "conc": 7.5},
              {"censored": False, "conc": 8.63},
              {"censored": False, "conc": 8.71},
              {"censored": False, "conc": 8.99},
              {"censored": False, "conc": 9.85},
              {"censored": False, "conc": 10.82},
              {"censored": False, "conc": 11.25},
              {"censored": False, "conc": 11.25},
              {"censored": False, "conc": 12.2},
              {"censored": False, "conc": 14.92},
              {"censored": False, "conc": 16.77},
              {"censored": False, "conc": 17.81},
              {"censored": False, "conc": 19.16},
              {"censored": False, "conc": 19.19},
              {"censored": False, "conc": 19.64},
              {"censored": False, "conc": 20.18},
              {"censored": False, "conc": 22.97},
          ]
      )[["conc", "censored"]]
  
      self.expected_with_warning = self.expected_baseline.iloc[:-1]
  
imports: from statsmodels.compat.pandas import assert_series_equal, assert_frame_equal
  from io import StringIO
  from textwrap import dedent
  import numpy
  import numpy.testing
  import numpy
  from numpy.testing import assert_equal
  import pandas
  import pytest
  from statsmodels.imputation import ros
label_desc: Use image node_id 1 for calling the Test__ros_sort obj's underlying member method code with example usage: obj.setup_method() without return types