code: def load_basic_cohn():
      cohn = pandas.DataFrame(
          [
              {
                  "lower_dl": 2.0,
                  "ncen_equal": 0.0,
                  "nobs_below": 0.0,
                  "nuncen_above": 3.0,
                  "prob_exceedance": 1.0,
                  "upper_dl": 5.0,
              },
              {
                  "lower_dl": 5.0,
                  "ncen_equal": 2.0,
                  "nobs_below": 5.0,
                  "nuncen_above": 0.0,
                  "prob_exceedance": 0.77757437070938218,
                  "upper_dl": 5.5,
              },
              {
                  "lower_dl": 5.5,
                  "ncen_equal": 1.0,
                  "nobs_below": 6.0,
                  "nuncen_above": 2.0,
                  "prob_exceedance": 0.77757437070938218,
                  "upper_dl": 5.75,
              },
              {
                  "lower_dl": 5.75,
                  "ncen_equal": 1.0,
                  "nobs_below": 9.0,
                  "nuncen_above": 10.0,
                  "prob_exceedance": 0.7034324942791762,
                  "upper_dl": 9.5,
              },
              {
                  "lower_dl": 9.5,
                  "ncen_equal": 2.0,
                  "nobs_below": 21.0,
                  "nuncen_above": 2.0,
                  "prob_exceedance": 0.37391304347826088,
                  "upper_dl": 11.0,
              },
              {
                  "lower_dl": 11.0,
                  "ncen_equal": 1.0,
                  "nobs_below": 24.0,
                  "nuncen_above": 11.0,
                  "prob_exceedance": 0.31428571428571428,
                  "upper_dl": numpy.inf,
              },
              {
                  "lower_dl": numpy.nan,
                  "ncen_equal": numpy.nan,
                  "nobs_below": numpy.nan,
                  "nuncen_above": numpy.nan,
                  "prob_exceedance": 0.0,
                  "upper_dl": numpy.nan,
              },
          ]
      )
      return cohn
  
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 4 for calling a global function with example usage: load_basic_cohn() and returns: cohn