input: Write a function to evaluate and compare the performance of two different heuristics algorithms by running them on given input data and measuring the time taken for each. If the first algorithm is faster, return "Algorithm 1 is faster than algorithm 2". If the second algorithm is faster, return "Algorithm 2 is faster than algorithm 1". If both algorithms have the same performance time, return "Both algorithms have the same performance time". The function should make use of the `time` module to measure the time taken.
  
  heuristics_performance_comparison(data1, data2)
  
  assert heuristics_performance_comparison([...], [...]) == "Algorithm 1 is faster than algorithm 2"
  assert heuristics_performance_comparison([...], [...]) == "Algorithm 2 is faster than algorithm 1"
  assert heuristics_performance_comparison([...], [...]) == "Both algorithms have the same performance time"
output: import time
  
  def heuristics_performance_comparison(data1, data2):
      start_time1 = time.time()
      algorithm1(data1)
      end_time1 = time.time()
      time1 = end_time1 - start_time1
      
      start_time2 = time.time()
      algorithm2(data2)
      end_time2 = time.time()
      time2 = end_time2 - start_time2
      
      if time1 < time2:
          return "Algorithm 1 is faster than algorithm 2"
      elif time2 < time1:
          return "Algorithm 2 is faster than algorithm 1"
      else:
          return "Both algorithms have the same performance time"