code: def data_first_and_last_censored(self):
      time = self.time
      event = np.repeat(True, len(time))
      event[0] = False
      event[-1] = False
      true_y = np.array(
          [
              0,
              0.133333333333333,
              0.287179487179487,
              0.468997668997669,
              0.691219891219891,
              0.834077034077034,
              1.0007437007437,
              1.2007437007437,
              1.7007437007437,
              2.2007437007437,
              2.2007437007437,
          ]
      )
  
      return time, event, self.true_x, true_y
  
imports: from os.path import dirname, join
  import numpy
  from numpy.testing import assert_array_almost_equal, assert_array_equal
  import pandas
  import pytest
  from sksurv.nonparametric import CensoringDistributionEstimator, SurvivalFunctionEstimator, kaplan_meier_estimator, nelson_aalen_estimator
  from sksurv.testing import FixtureParameterFactory
  from sksurv.util import Surv
label_desc: Use image node_id 6 for calling the SimpleDataNACases obj's underlying member method code with example usage: obj.data_first_and_last_censored() and returns: time,  event,  self,  true_y