Link: https://leetcode.cn/problems/design-search-autocomplete-system/

Question

difficulty: high
adj diff: 5

Design a search autocomplete system for a search engine. Users may input a sentence (at least one word and end with a special character '#').

You are given a string array sentences and an integer array times both of length n where sentences[i] is a previously typed sentence and times[i] is the corresponding number of times the sentence was typed. For each input character except '#', return the top 3 historical hot sentences that have the same prefix as the part of the sentence already typed.

Here are the specific rules:

The hot degree for a sentence is defined as the number of times a user typed the exactly same sentence before.
The returned top 3 hot sentences should be sorted by hot degree (The first is the hottest one). If several sentences have the same hot degree, use ASCII-code order (smaller one appears first).
If less than 3 hot sentences exist, return as many as you can.
When the input is a special character, it means the sentence ends, and in this case, you need to return an empty list.
Implement the AutocompleteSystem class:

AutocompleteSystem(String[] sentences, int[] times) Initializes the object with the sentences and times arrays.
List<String> input(char c) This indicates that the user typed the character c.
Returns an empty array [] if c == '#' and stores the inputted sentence in the system.
Returns the top 3 historical hot sentences that have the same prefix as the part of the sentence already typed. If there are fewer than 3 matches, return them all.

Example 1:

Input
["AutocompleteSystem", "input", "input", "input", "input"]
[[["i love you", "island", "iroman", "i love leetcode"], [5, 3, 2, 2]], ["i"], [" "], ["a"], ["#"]]
Output
[null, ["i love you", "island", "i love leetcode"], ["i love you", "i love leetcode"], [], []]

Explanation
AutocompleteSystem obj = new AutocompleteSystem(["i love you", "island", "iroman", "i love leetcode"], [5, 3, 2, 2]);
obj.input("i"); // return ["i love you", "island", "i love leetcode"]. There are four sentences that have prefix "i". Among them, "ironman" and "i love leetcode" have same hot degree. Since ' ' has ASCII code 32 and 'r' has ASCII code 114, "i love leetcode" should be in front of "ironman". Also we only need to output top 3 hot sentences, so "ironman" will be ignored.
obj.input(" "); // return ["i love you", "i love leetcode"]. There are only two sentences that have prefix "i ".
obj.input("a"); // return []. There are no sentences that have prefix "i a".
obj.input("#"); // return []. The user finished the input, the sentence "i a" should be saved as a historical sentence in system. And the following input will be counted as a new search.

Constraints:

n == sentences.length
n == times.length
1 <= n <= 100
1 <= sentences[i].length <= 100
1 <= times[i] <= 50
c is a lowercase English letter, a hash '#', or space ' '.
Each tested sentence will be a sequence of characters c that end with the character '#'.
Each tested sentence will have a length in the range [1, 200].
The words in each input sentence are separated by single spaces.
At most 5000 calls will be made to input.

Code

用 Trie 结构。如下。

Someone else code：

public class AutocompleteSystem {
	class Node {
		Node(String st, int t) {
			sentence = st;
			times = t;
		}
		String sentence;
		int times;
	}
	class Trie {
		int times;
		Trie[] branches = new Trie[27];
	}
	public int int_(char c) {
		return c == ' ' ? 26 : c - 'a';
	}
	public void insert(Trie t, String s, int times) {
		for (int i = 0; i < s.length(); i++) {
			if (t.branches[int_(s.charAt(i))] == null)
				t.branches[int_(s.charAt(i))] = new Trie();
			t = t.branches[int_(s.charAt(i))];
		}
		t.times += times;
	}
	public List < Node > lookup(Trie t, String s) {
		List < Node > list = new ArrayList < > ();
		for (int i = 0; i < s.length(); i++) {
			if (t.branches[int_(s.charAt(i))] == null)
				return new ArrayList < Node > ();
			t = t.branches[int_(s.charAt(i))];
		}
		traverse(s, t, list);
		return list;
	}
	public void traverse(String s, Trie t, List < Node > list) {
		if (t.times > 0)
			list.add(new Node(s, t.times));
		for (char i = 'a'; i <= 'z'; i++) {
			if (t.branches[i - 'a'] != null)
				traverse(s + i, t.branches[i - 'a'], list);
		}
		if (t.branches[26] != null)
			traverse(s + ' ', t.branches[26], list);
	}
	Trie root;
	public AutocompleteSystem(String[] sentences, int[] times) {
		root = new Trie();
		for (int i = 0; i < sentences.length; i++) {
			insert(root, sentences[i], times[i]);
		}
	}
	String cur_sent = "";
	public List < String > input(char c) {
		List < String > res = new ArrayList < > ();
		if (c == '#') {
			insert(root, cur_sent, 1);
			cur_sent = "";
		} else {
			cur_sent += c;
			List < Node > list = lookup(root, cur_sent);
			Collections.sort(list, (a, b) -> a.times == b.times ? a.sentence.compareTo(b.sentence) : b.times - a.times);
			for (int i = 0; i < Math.min(3, list.size()); i++)
				res.add(list.get(i).sentence);
		}
		return res;
	}
}

/**
 * Your AutocompleteSystem object will be instantiated and called as such:
 * AutocompleteSystem obj = new AutocompleteSystem(sentences, times);
 * List<String> param_1 = obj.input(c);
 */

642. Design Search Autocomplete System

Question

Code