• 211 Add and Search Word


    设计一个支持以下两个操作的数据结构:
    void addWord(word)
    bool search(word)
    search(word) 可以搜索文字或正则表达式字符串,字符串只包含字母 . 或 a-z 。 . 意味着它可以代表任何一个字母。
    例如:
    addWord("bad")
    addWord("dad")
    addWord("mad")
    search("pad") -> false
    search("bad") -> true
    search(".ad") -> true
    search("b..") -> true
    注意事项:
    你可以假设所有单词都是由小写字母 a-z 组成的。

    详见:https://leetcode.com/problems/add-and-search-word-data-structure-design/description/

    Java实现:

    class TrieNode {
        public TrieNode[] children;
        public boolean isWord = false;
        public TrieNode(){
            children=new TrieNode[26];
        }
    }
    
    class WordDictionary {
        private TrieNode root;
    
        /** Initialize your data structure here. */
        public WordDictionary() {
            root=new TrieNode();
        }
        
        /** Adds a word into the data structure. */
        public void addWord(String word) {
            TrieNode node = root;
            for (char ch: word.toCharArray()) {
                if (node.children[ch-'a'] == null) {
                    node.children[ch-'a'] = new TrieNode();
                }
                node = node.children[ch-'a'];
            }
            node.isWord = true;
        }
        
        /** Returns if the word is in the data structure. A word could contain the dot character '.' to represent any one letter. */
        public boolean search(String word) {
            return helper(word, 0, root);
        }
        
        private boolean helper(String word, int start, TrieNode node) {
            if (start == word.length()){
                return node.isWord;
            } 
            char ch = word.charAt(start);
            if (ch == '.') {
                for (int i = 0; i < 26; i++) {
                    if (node.children[i] != null && helper(word, start+1, node.children[i])) {
                        return true;
                    }
                }
            } else {
                return node.children[ch-'a'] != null && helper(word, start+1, node.children[ch-'a']);
            }
            return false;
        }
    }
    
    /**
     * Your WordDictionary object will be instantiated and called as such:
     * WordDictionary obj = new WordDictionary();
     * obj.addWord(word);
     * boolean param_2 = obj.search(word);
     */
    

    C++实现:

    class TrieNode {
    public:
        TrieNode *next[26];
        char c;
        bool isWord;
        TrieNode() : isWord(false) {
            for (auto & c: next)
            {
                c=nullptr;
            }
        }
        TrieNode(char _c):c(_c),isWord(false)
        {
            for(auto &c:next)
            {
                c=nullptr;
            }
        }
    };
    class WordDictionary {
    public:    
        WordDictionary() {
            root = new TrieNode();
        }
        
        // Adds a word into the data structure.
        void addWord(string word) {
            TrieNode *p = root;
            for (auto &c : word) 
            {
                int i = c - 'a';
                if (!p->next[i])
                {
                    p->next[i] = new TrieNode(c);
                }
                p = p->next[i];
            }
            p->isWord = true;
        }
    
        // Returns if the word is in the data structure. A word could
        // contain the dot character '.' to represent any one letter.
        bool search(string word) {
            return searchWord(word, root, 0);
        }
        
        bool searchWord(string &word, TrieNode *p, int i) {
            if (i == word.size())
            {
                return p->isWord;
            }
            if (word[i] == '.')
            {
                for (auto &c : p->next) 
                {
                    if (c && searchWord(word, c, i + 1))
                    {
                        return true;
                    }
                }
                return false;
            }
            else 
            {
                return p->next[word[i] - 'a'] && searchWord(word, p->next[word[i] - 'a'], i + 1);
            }
        }
        
    private:
        TrieNode *root;
    };
    
    // Your WordDictionary object will be instantiated and called as such:
    // WordDictionary wordDictionary;
    // wordDictionary.addWord("word");
    // wordDictionary.search("pattern");
    

     参考:https://www.cnblogs.com/grandyang/p/4507286.html

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  • 原文地址:https://www.cnblogs.com/xidian2014/p/8746898.html
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