def build_max_heap(to_build_list):
  """建立一个堆"""
  # 自底向上建堆
  for i in range(len(to_build_list)/2 - 1, -1, -1):
    max_heap(to_build_list, len(to_build_list), i)
def max_heap(to_adjust_list, heap_size, index):
  """调整列表中的元素以保证以index为根的堆是一个最大堆"""
  # 将当前结点与其左右子节点比较，将较大的结点与当前结点交换，然后递归地调整子树
  left_child = 2 * index + 1
  right_child = left_child + 1
  if left_child < heap_size and to_adjust_list[left_child] > to_adjust_list[index]:
    largest = left_child
  else:
    largest = index
  if right_child < heap_size and to_adjust_list[right_child] > to_adjust_list[largest]:
    largest = right_child
  if largest != index:
    to_adjust_list[index], to_adjust_list[largest] =     to_adjust_list[largest], to_adjust_list[index]
    max_heap(to_adjust_list, heap_size, largest)
def heap_sort(to_sort_list):
  """堆排序"""
  # 先将列表调整为堆
  build_max_heap(to_sort_list)
  heap_size = len(to_sort_list)
  # 调整后列表的第一个元素就是这个列表中最大的元素，将其与最后一个元素交换，然后将剩余的列表再调整为最大堆
  for i in range(len(to_sort_list) - 1, 0, -1):
    to_sort_list[i], to_sort_list[0] = to_sort_list[0], to_sort_list[i]
    heap_size -= 1
    max_heap(to_sort_list, heap_size, 0)
if __name__ == '__main__':
  to_sort_list = [4, 1, 3, 2, 16, 9, 10, 14, 8, 7]
  heap_sort(to_sort_list)
  print to_sort_list