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Leetcode 208 实现 Trie (前缀树)

Leetcode 208 实现 Trie (前缀树)

作者: SunnyQjm | 来源:发表于2020-06-28 08:28 被阅读0次

    实现 Trie (前缀树)

    题目

    实现一个 Trie (前缀树),包含 insert, search, 和 startsWith 这三个操作。

    示例:

    Trie trie = new Trie();
    
    trie.insert("apple");
    trie.search("apple");   // 返回 true
    trie.search("app");     // 返回 false
    trie.startsWith("app"); // 返回 true
    trie.insert("app");   
    trie.search("app");     // 返回 true
    

    说明:

    • 你可以假设所有的输入都是由小写字母 a-z 构成的。
    • 保证所有输入均为非空字符串。

    解答

    class Trie:
    
        def __init__(self):
            """
            Initialize your data structure here.
            """
            self.root = TreeNode()
    
        def insert(self, word: str) -> None:
            """
            Inserts a word into the trie.
            """
            # 从根节点出发
            node = self.root
            for char in word:
                if char not in node.children:  # 判断当前字符是否在当前节点的子节点里面,不在,则创建一个子节点
                    node.children[char] = TreeNode()
                node = node.children[char]  # 跳到对应的子节点
            node.word = True
    
        def search(self, word: str) -> bool:
            """
            Returns if the word is in the trie.
            """
            node = self.root
            for char in word:
                if char not in node.children:
                    return False
                node = node.children[char]
            return node.word
    
        def startsWith(self, prefix: str) -> bool:
            """
            Returns if there is any word in the trie that starts with the given prefix.
            """
            node = self.root
            for char in prefix:
                if char not in node.children:
                    return False
                node = node.children[char]
            return True
    

    测试验证

    class TreeNode:
        def __init__(self):
            self.word = False  # 表示当前节点是否是一个曾经插入的单词
            self.children = {}  # 子节点列表
    
    
    class Trie:
    
        def __init__(self):
            """
            Initialize your data structure here.
            """
            self.root = TreeNode()
    
        def insert(self, word: str) -> None:
            """
            Inserts a word into the trie.
            """
            # 从根节点出发
            node = self.root
            for char in word:
                if char not in node.children:  # 判断当前字符是否在当前节点的子节点里面,不在,则创建一个子节点
                    node.children[char] = TreeNode()
                node = node.children[char]  # 跳到对应的子节点
            node.word = True
    
        def search(self, word: str) -> bool:
            """
            Returns if the word is in the trie.
            """
            node = self.root
            for char in word:
                if char not in node.children:
                    return False
                node = node.children[char]
            return node.word
    
        def startsWith(self, prefix: str) -> bool:
            """
            Returns if there is any word in the trie that starts with the given prefix.
            """
            node = self.root
            for char in prefix:
                if char not in node.children:
                    return False
                node = node.children[char]
            return True
    
    
    # Your Trie object will be instantiated and called as such:
    # obj = Trie()
    # obj.insert(word)
    # param_2 = obj.search(word)
    # param_3 = obj.startsWith(prefix)
    
    
    if __name__ == '__main__':
        obj = Trie()
        obj.insert("apple")
        print(obj.search("apple"), "= True")
        print(obj.search("app"), "= False")
        print(obj.startsWith("app"), "= True")
        obj.insert("app")
        print(obj.search("app"), "= True")
    

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