new_contents: import os
  import time
  
  import pandas as pd
  import numpy as np
  
  import tsam.timeseriesaggregation as tsam
  
  
  
  def test_hierarchical():
  
      raw = pd.read_csv(os.path.join('..','examples','testdata.csv'), index_col = 0)
  
      results = pd.read_csv(os.path.join('..','examples','results','testperiods_hierarchical.csv'), index_col = [0,1])
  
      starttime = time.time()
  
      aggregation = tsam.TimeSeriesAggregation(raw, noTypicalPeriods = 8, hoursPerPeriod = 24, 
                                              clusterMethod = 'hierarchical', 
                                              extremePeriodMethod = 'new_cluster_center',
                                          addPeakMin = ['T'], addPeakMax = ['Load'] )
  
      typPeriods = aggregation.createTypicalPeriods()
  
      print('Clustering took ' + str(time.time() - starttime))
  
  
      np.testing.assert_array_almost_equal(typPeriods.values, results.values,decimal=4)
  
  
  if __name__ == "__main__":
      test_hierarchical()
subject: add first test