code: def test_max_lower_bound_less_than_min_upper_bound():
      # https://github.com/CamDavidsonPilon/lifelines/issues/1151
      import numpy as np
      import pandas as pd
      from lifelines import KaplanMeierFitter
  
      # Data
      np.random.seed(1)
      left0 = np.random.normal(loc=60, scale=2, size=20)
      add_time = np.random.normal(loc=100, scale=2, size=10)
      right1 = left0[0:10] + add_time
      right0 = right1.tolist() + [np.inf] * 10
  
      # KaplanMeier
      model = KaplanMeierFitter()
      model.fit_interval_censoring(
          lower_bound=left0, upper_bound=right0
      )
  
file_path: lifelines/lifelines/tests/test_npmle.py
imports: import pytest
  from lifelines.fitters.npmle import npmle, is_subset, create_turnbull_intervals, interval, reconstruct_survival_function
  from numpy import testing
  from lifelines.datasets import load_mice
  from lifelines import KaplanMeierFitter
  import numpy
  import pandas
label_desc: Use image node_id 9 for calling a global function with example usage: test_max_lower_bound_less_than_min_upper_bound() without return types