code: def data_all_uncensored(self):
      time = self.time
      event = np.repeat(True, len(time))
      true_y = np.array(
          [
              0.0625,
              0.195833333333333,
              0.349679487179487,
              0.531497668997669,
              0.753719891219891,
              0.896577034077034,
              1.0632437007437,
              1.2632437007437,
              1.7632437007437,
              2.2632437007437,
              3.2632437007437,
          ]
      )
  
      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 3 for calling the SimpleDataNACases obj's underlying member method code with example usage: obj.data_all_uncensored() and returns: time,  event,  self,  true_y