1. 稍微复杂一点的是求前缀串的数量,这里用dfs计算以当前节点为跟的字典树中包含的所有‘#’的数量,即完整的字符串个数
2. 还需要思考的就是删除字符串,这里查找以字符串结尾的字典删掉即可
3. 这道题比LeetCode[208. 实现 Trie (前缀树)]难很多,大家可以自行练习秒掉它
class Tree: def __init__(self): self.tree = {} def insert(self, word): cur = self.tree for w in word: if w not in cur: cur[w] = {} cur = cur[w] cur['#'] = 1 def delete(self, word): cur = self.tree for w in word: if word[-1] in cur: del cur[word[-1]] break cur = cur[w] def search(self, word): cur = self.tree for w in word: if w not in cur: return 'NO' cur = cur[w] return 'YES' if '#' in cur else 'NO' def dfs(self, cur): ans = int('#' in cur) for k, v in cur.items(): if type(v) == dict: ans += self.dfs(v) return ans def prefixNumber(self, pre): cur = self.tree for w in pre: if w not in cur: return 0 cur = cur[w] return self.dfs(cur) class Solution: def trieU(self, operators): # write code here ans = [] obj = Tree() for op, word in operators: if op == '1': obj.insert(word) elif op == '2': obj.delete(word) elif op == '3': ans.append(obj.search(word)) else: ans.append(obj.prefixNumber(word)) return ans