in range(last_root,-1,-1): buildHeap(sortList, lenS, i) # 取出堆顶元素,进行排序 for end in range(lenS-1, 0, -1): sortList[0], sortList[end] = sortList[end], sortList[0] # end每次都会减1,所以就自动排除后面已经排序好的数据了 buildHeap(sortList, end, 0) return sortList ...
Python中的堆(Heap):高级数据结构解析 堆是一种基于树结构的数据结构,具有高效的插入和删除操作。在本文中,我们将深入讲解Python中的堆,包括堆的基本概念、类型、实现方式、应用场景以及使用代码示例演示堆的操作。 基本概念 堆是一种特殊的树形数据结构,其中每个节点的值都小于或等于(最小堆)或大于或等于(最大堆)...
import random import my_heapq data = [random.randint(10, 100) for _ in range(15)] print(data) # [80, 41, 89, 70, 99, 10, 36, 58, 19, 82, 13, 25, 79, 59, 80] my_heapq.heap_sort(data) print(data) # [10, 13, 19, 25, 36, 41, 58, 59, 70, 79, 80, 80, 82,...
heapq_heappush.py import heapq from heapq_showtree import show_tree from heapq_heapdata import data heap = [] print('random :', data) print() for n in data: print('add {:>3}:'.format(n)) heapq.heappush(heap, n) show_tree(heap) When heappush() is used, the heap sort order...
sort_heap(myvec.begin(), myvec.end()); for(std::vector<int>::iterator it = myvec.begin();it != myvec.end();it++){ std::cout<<*it<<" ,"; } std::cout<<"\n"<<"now the example is end..."<<std::endl; return 0; } 标签: C++ , heap 好文要顶 关注我 收藏该文 微...
浏览完整代码 来源:testheap.py 项目:QaziPython/CS-Books示例2def main(): # add each line in counts to a priority queue that will sort it # storing them as BST Nodes with data and letter members counts = open('counts.txt','r') HuffQueue = ArrayHeap() for line in counts: temp = ...
defcheck_heap(self,reverse=False):iterations=1000heap_size=random.randint(10,1000)for_inrange(iterations):test_list=[random.randint(-999999,999999)for_inrange(heap_size)]ifreverse:heap=new_max_heap(test_list.copy())else:heap=new_min_heap(test_list.copy())test_list.sort(reverse=reverse)for...
for quick sort, picking the median of three random elements as the pivot instead of blindly picking the first element of each partitioned piece to be the pivot(the in-practice case asymptotic upper bound would still be O(nlogn), but the actual runtime is faster than regular quick sort's...
堆积排序(Heapsort)是指利用堆积树(堆)这种数据结构所设计的一种排序算法。堆积树是一个近似完全二叉树的结构,并同时满足堆积属性:即子结点的键值或索引总是小于(或者大于)它的父节点。堆排序的平均时间复杂度为O(nlogn),空间复杂度为O(1)。堆排序是不稳定的。 1.小根堆和大根堆 堆有小根堆和大根堆两种,如...
当free 2的时候,因为2是small bin的大小的缘故,所以会检测上一个chunk是否inused. 它会根据prev_size找到1,然后做unlink。 此时,unsortbin存放着这块大的chunk,所以下次malloc会用这一块先分配。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 pwndbg> unsortedbin unsortedbin all: 0x555555757020—▸ 0x...