code: def test_unequal_intensity_with_negative_data():
      data1 = np.random.normal(-5, size=(2000, 1))
      data2 = np.random.normal(5, size=(2000, 1))
      result = stats.logrank_test(data1, data2)
      assert result.p_value < 0.05
  
imports: import numpy
  import pandas
  import numpy.testing
  import pytest
  from pandas.testing import assert_frame_equal
  from lifelines import statistics
  from lifelines import CoxPHFitter, KaplanMeierFitter, WeibullFitter
  from lifelines.exceptions import StatisticalWarning
  from lifelines.datasets import load_waltons, load_g3, load_lymphoma, load_dd, load_regression_dataset, load_leukemia
label_desc: Use image node_id 17 for calling a global function with example usage: test_unequal_intensity_with_negative_data() without return types