fromcollectionsimportdeque# Definition for a binary tree node.classTreeNode:def__init__(self, x): self.val = x self.left =Noneself.right =Nonedeflevel_order_tree(root, result):ifnotroot:return# 这里借助python的双向队列实现队列# 避免使用list.pop(0)出站的时间复杂度为O(n)queue = deque([...
# 二叉树节点定义classTreeNode:def__init__(self,val):self.val=val self.left=None self.right=None # 二叉树的DFS遍历 defdfs_binary_tree(root):ifroot is None:returnprint(root.val,end=' ')dfs_binary_tree(root.left)dfs_binary_tree(root.right)# 构造二叉树 root=TreeNode(1)root.left=Tree...
* Definition for a binary tree node. * struct TreeNode { * int val; * TreeNode *left; * TreeNode *right; * TreeNode() : val(0), left(nullptr), right(nullptr) {} * TreeNode(int x) : val(x), left(nullptr), right(nullptr) {} * TreeNode(int x, TreeNode *left, TreeNode ...
returndepth ifnodeindead: continue else: # neighbors(node) 生成器对象 forneiinneighbors(node): ifneinotinseen: seen.add(nei) queue.append((nei, depth+1)) return-1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 # Definition for a binary tree node. # clas...
visited = {node: False for node in graph} # 从节点A开始进行DFS遍历 print("DFS遍历结果:") dfs(graph, 'A', visited) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23.
=EreturnAdefbfs_binary_tree(root):ifroot isNone:return# 使用队列来记录遍历路径queue=deque([root])whilequeue:node=queue.popleft()print(node.val,end=' ')ifnode.left:queue.append(node.left)ifnode.right:queue.append(node.right)if__name__=='__main__':root=ceate_tree()bfs_binary_tree(...
classSolution:defwidthOfBinaryTree(self,root):""" :type root: TreeNode :rtype: int """q=[(root,0,0)]# (node, depth, position)cur_depth,left,ans=0,0,0for(node,depth,pos)inq:ifnode:q.append((node.left,depth+1,2*pos))q.append((node.right,depth+1,2*pos+1))ifdepth!=cur_...
Literature NotesStudy GuidesDocumentsHomework QuestionsLog InSign Up1. s) Show the order of visit using DFS and BFS to traverse the... Answered step-by-step Solved by verified expert View Solution Questions & AnswersPython Programming 1. s) Show the order of ...
These Pre-cooked and well-tested codes help to implement larger hackathon problems in lesser time. DFS, BFS, LCA, LCS, Segment Tree, Sparce Table, All Pair Shortest Path, Binary Search, Matching and many more ... java hashing algorithms graph-algorithms concurrency competitive-programming data...
来自专栏 · python练习册 1 人赞同了该文章 1. 什么是广度优先搜索? 广度优先搜索(Breadth First Search) 是一种图搜索算法,从起始节点开始,依次访问节点的所有邻居节点,然后再逐层访问这些邻居节点的邻居节点,以此类推,直到搜索到目标节点或遍历完整个图。 2. 为什么要用 BFS?/什么情景下考虑用广度优先? BFS...