input: Write a function to evaluate and compare the performance of two different heuristics algorithms. The function will measure the time taken by each algorithm to process given input data and print which algorithm is faster. If both algorithms take the same time, the function will print that they have the same performance time. The function should take two input data sets, one for each algorithm.
  assert evaluate_heuristics(data1, data2)=="Algorithm 1 is faster than algorithm 2"
  assert evaluate_heuristics(data2, data1)=="Algorithm 2 is faster than algorithm 1"
  assert evaluate_heuristics(data1, data1)=="Both algorithms have the same performance time"
  assert evaluate_heuristics(data2, data2)=="Both algorithms have the same performance time"
output: def evaluate_heuristics(data1, data2):
      import time
      
      start_time = time.time()
      # Assume algorithm1 processes data1
      # Replace the following line with the actual algorithm1 code
      time.sleep(0.1)  # Placeholder for algorithm1 processing time
      time1 = time.time() - start_time
      
      start_time = time.time()
      # Assume algorithm2 processes data2
      # Replace the following line with the actual algorithm2 code
      time.sleep(0.2)  # Placeholder for algorithm2 processing time
      time2 = time.time() - start_time
      
      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"