input: 
  def compare_heuristics(data1, data2):
      """ Evaluate and compare the performance of two different heuristics algorithms.
      The function will calculate the time taken for each algorithm to process the input data
      and then compare the execution times. It will return a string indicating which algorithm
      was faster or if they had the same performance.
      >>> compare_heuristics([1, 2, 3], [1, 2, 3])
      'Both algorithms have the same performance time'
      >>> compare_heuristics([1, 2, 3, 4], [1, 2, 3])
      'Algorithm 1 is faster than algorithm 2'
      """
  
output:     import time
  
      start_time1 = time.time()
      # Simulate Algorithm 1 processing
      time.sleep(0.1)
      end_time1 = time.time()
  
      start_time2 = time.time()
      # Simulate Algorithm 2 processing
      time.sleep(0.1)
      end_time2 = time.time()
  
      time1 = end_time1 - start_time1
      time2 = end_time2 - start_time2
  
      if time1 < time2:
          return 'Algorithm 1 is faster than algorithm 2'
      elif time1 > time2:
          return 'Algorithm 2 is faster than algorithm 1'
      else:
          return 'Both algorithms have the same performance time'