input: def compare_heuristics_performance(data1, data2):
      """Evaluate and compare the performance of two different heuristics algorithms.
      The function takes two sets of input data and measures the execution time
      for each algorithm using the provided data. It then prints which algorithm
      is faster, or if they have the same performance time.
      Example:
      >>> compare_heuristics_performance(data1, data2)
      'Algorithm 1 is faster than Algorithm 2'
      """
output:     import time
  
      start_time1 = time.time()
      # Simulate Algorithm 1 execution
      time.sleep(0.1)  # Replace with actual Algorithm 1 code
      end_time1 = time.time()
  
      start_time2 = time.time()
      # Simulate Algorithm 2 execution
      time.sleep(0.1)  # Replace with actual Algorithm 2 code
      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'