code: def test_truncated_male(make_channing, channing_male_true_x):
      time_enter_m, time_exit_m, event_m = make_channing("Male")
  
      x, y, km_ci = kaplan_meier_estimator(
          event_m, time_exit_m, time_enter_m, conf_type="log-log"
      )
  
      assert_array_equal(x, channing_male_true_x)
  
      assert_array_equal(y[:3], np.array([1.0, 1.0, 0.5]))
      assert (y[3:] == 0).all()
  
      assert_array_almost_equal(
          km_ci[:, :3],
          np.array(
              [
                  [
                      1.0,
                      1.0,
                      0.00598309,
                  ],
                  [
                      1.0,
                      1.0,
                      0.91041008,
                  ],
              ]
          ),
      )
  
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 14 for calling the TestKaplanMeier obj's underlying member method code with example usage: obj.test_truncated_male(make_channing, channing_male_true_x) without return types