code: def test_stationarity_tests(self):
      series_1 = constant_timeseries(start=0, end=9999).stack(
          constant_timeseries(start=0, end=9999)
      )
  
      series_2 = TimeSeries.from_values(
          np.random.uniform(0, 1, (1000, 2, 1000))
      )
      series_3 = gaussian_timeseries(start=0, end=9999)
  
      # Test univariate
      with pytest.raises(AssertionError):
          stationarity_tests(series_1)
      with pytest.raises(AssertionError):
          stationarity_test_adf(series_1)
      with pytest.raises(AssertionError):
          stationarity_test_kpss(series_1)
  
      # Test deterministic
      with pytest.raises(AssertionError):
          stationarity_tests(series_2)
      with pytest.raises(AssertionError):
          stationarity_test_adf(series_2)
      with pytest.raises(AssertionError):
          stationarity_test_kpss(series_2)
  
      # Test basics
      assert stationarity_test_kpss(series_3)[1] > 0.05
      assert stationarity_test_adf(series_3)[1] < 0.05
      assert stationarity_tests
  
file_path: darts/darts/tests/utils/test_statistics.py
imports: import matplotlib.pyplot
  import numpy
  import pandas
  import pytest
  from darts import TimeSeries
  from darts.datasets import AirPassengersDataset
  from darts.utils.statistics import check_seasonality, extract_trend_and_seasonality, granger_causality_tests, plot_pacf, plot_residuals_analysis, remove_seasonality, remove_trend, stationarity_test_adf, stationarity_test_kpss, stationarity_tests
  from darts.utils.timeseries_generation import constant_timeseries, gaussian_timeseries, linear_timeseries
  from darts.utils.utils import ModelMode, SeasonalityMode
label_desc: Use image node_id 3 for calling the TestTimeSeries obj's underlying member method code with example usage: obj.test_stationarity_tests() without return types