new_contents: import os
  import time
  
  import pandas as pd
  import numpy as np
  
  import tsam.timeseriesaggregation as tsam
  
  def test_adjacent_periods():
  
      raw = pd.read_csv(os.path.join(os.path.dirname(__file__), '..', 'examples', 'testdata.csv'), index_col=0)
  
      noTypicalPeriods = 8
  
      starttime = time.time()
  
      aggregation = tsam.TimeSeriesAggregation(raw, noTypicalPeriods = noTypicalPeriods, hoursPerPeriod = 24,
                                               clusterMethod = 'adjacent_periods', rescaleClusterPeriods=False,
                                               representationMethod='meanRepresentation')
  
      typPeriods = aggregation.createTypicalPeriods()
  
      print('Clustering took ' + str(time.time() - starttime))
  
      # check whether the clusterOrder consists of noTypicalPeriods blocks of the same number
      np.testing.assert_array_almost_equal(np.size(np.where(np.diff(aggregation.clusterOrder) != 0)), noTypicalPeriods-1,
                                           decimal=4)
  
  if __name__ == "__main__":
      test_adjacent_periods()
subject: test for adjacent periods introduced