input: 
  def compare_heuristics_performance(data1, data2) -> str:
      """ Compare the performance of two different heuristics algorithms by evaluating
      their execution time on given input data sets. The function returns a string
      indicating which algorithm is faster or if they have the same performance time.
      >>> compare_heuristics_performance([1, 2, 3], [4, 5, 6])
      'Both algorithms have the same performance time'
      """
      import time
      import heuristics_algorithm1
      import heuristics_algorithm2
  
      start = time.time()
      result1 = heuristics_algorithm1.run(data1)
      end = time.time()
      time1 = end - start
  
      start = time.time()
      result2 = heuristics_algorithm2.run(data2)
      end = time.time()
      time2 = end - start
  
      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"
  
output:     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"