new_contents: # test the basic functions and load the related packages
  import pickle
  import numpy as np
  from fABBA import fabba_model
  from fABBA.load_datasets import load_synthetic_sample
  
  samples = []
  for length in np.arange(1000, 3001, 1000, dtype=int):
      ts1 = load_synthetic_sample(length=int(length), freq=10)
      ts2 = load_synthetic_sample(length=int(length), freq=20)
      ts3 = load_synthetic_sample(length=int(length), freq=30)
      samples.append(ts1)
      samples.append(ts2)
      samples.append(ts3)
  
  for i in range(len(samples)):
      fabba = fabba_model(tol=0.1, alpha=0.1, sorting='2-norm', scl=1, verbose=0)
      string = fabba.fit_transform(samples[i])
      inverse_ts = fabba.inverse_transform(string, samples[i][0])
  
      with open('string'+str(i)+'.pickle', 'wb') as f:
          pickle.dump(string, f, pickle.HIGHEST_PROTOCOL)
      with open('inverse_ts'+str(i)+'.pickle', 'wb') as f:
          pickle.dump(inverse_ts, f, pickle.HIGHEST_PROTOCOL)
      
      with open('string'+str(i)+'.pickle', 'rb') as f:
          string_backup = pickle.load(f)
      with open('inverse_ts'+str(i)+'.pickle', 'rb') as f:
          inverse_ts_backup = pickle.load(f)
          
      assert(string == string_backup)
      assert(inverse_ts == inverse_ts_backup)
      
      
  print("Complete!")
  
subject: Create run_test.py