input: def compare_heuristics_performance(data1, data2):
      """
      Evaluate and compare the performance of two different heuristics algorithms.
      The function measures the time taken by each algorithm to process the given data
      and prints which algorithm is faster, or if both have the same performance time.
      
      >>> compare_heuristics_performance(data1, data2)
      'Algorithm 1 is faster than algorithm 2'
      >>> compare_heuristics_performance(data2, data1)
      'Algorithm 2 is faster than algorithm 1'
      >>> compare_heuristics_performance(data1, data1)
      'Both algorithms have the same performance time'
      """
output:     import time
  
      start_time1 = time.time()
      data1()
      end_time1 = time.time()
      time_taken1 = end_time1 - start_time1
  
      start_time2 = time.time()
      data2()
      end_time2 = time.time()
      time_taken2 = end_time2 - start_time2
  
      if time_taken1 < time_taken2:
          return 'Algorithm 1 is faster than algorithm 2'
      elif time_taken1 > time_taken2:
          return 'Algorithm 2 is faster than algorithm 1'
      else:
          return 'Both algorithms have the same performance time'