使用PYTHON完成排序(堆排序)

class HeapStructure:
def __init__(self, ls):
self.ls = ls def shift_up(self, index): # 上移使符合堆要求
if index == 0:
return
ls = self.ls
par_index = (index - 1) // 2
if ls[par_index] < ls[index]:
ls[par_index], ls[index] = ls[index], ls[par_index]
self.shift_up(index-1) def shift_down(self, index, last_index): # 下移使符合堆要求
ls = self.ls
child_left, child_right = 2 * index + 1, 2 * index + 2
if child_left > last_index:
return
if child_left < last_index and ls[child_left] < ls[child_right]:
if ls[index] < ls[child_right]: # 与右子节点交换
ls[index], ls[child_right] = ls[child_right], ls[index]
self.shift_down(child_right, last_index)
else:
if ls[index] < ls[child_left]: # 与左子节点交换
ls[index], ls[child_left] = ls[child_left], ls[index]
self.shift_down(child_left, last_index) def sort(self):
i = len(self.ls)
if i == 0:
return self.ls
last_index = i - 1
self.shift_up(last_index) # 变为最大堆
self.ls[0], self.ls[last_index] = self.ls[last_index], self.ls[0] # 最大值移动到队尾
last_index -= 1
while last_index:
self.shift_down(0, last_index=last_index) # 调整为最大堆
self.ls[0], self.ls[last_index] = self.ls[last_index], self.ls[0]
last_index -= 1
return self.ls if __name__ == '__main__':
ls = [5, 1, 2, 4, 8, 0, 9]
print(HeapStructure(ls).sort())
ls = []
print(HeapStructure(ls).sort())
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