Algorithm
Problem Name: 1268. Search Suggestions System
You are given an array of strings products and a string searchWord.
Design a system that suggests at most three product names from products after each character of searchWord is typed. Suggested products should have common prefix with searchWord. If there are more than three products with a common prefix return the three lexicographically minimums products.
Return a list of lists of the suggested products after each character of searchWord is typed.
Example 1:
Input: products = ["mobile","mouse","moneypot","monitor","mousepad"], searchWord = "mouse" Output: [["mobile","moneypot","monitor"],["mobile","moneypot","monitor"],["mouse","mousepad"],["mouse","mousepad"],["mouse","mousepad"]] Explanation: products sorted lexicographically = ["mobile","moneypot","monitor","mouse","mousepad"]. After typing m and mo all products match and we show user ["mobile","moneypot","monitor"]. After typing mou, mous and mouse the system suggests ["mouse","mousepad"].
Example 2:
Input: products = ["havana"], searchWord = "havana" Output: [["havana"],["havana"],["havana"],["havana"],["havana"],["havana"]] Explanation: The only word "havana" will be always suggested while typing the search word.
Constraints:
1 <= products.length <= 10001 <= products[i].length <= 30001 <= sum(products[i].length) <= 2 * 104- All the strings of
productsare unique. products[i]consists of lowercase English letters.1 <= searchWord.length <= 1000searchWordconsists of lowercase English letters.
Code Examples
#1 Code Example with Java Programming
Code -
Java Programming
class Solution {
public List();
TrieNode curr = root;
for (char c : searchWord.toCharArray()) {
if (curr == null) {
result.add(new ArrayList < >());
} else {
if (curr.children[c - 'a'] == null) {
curr = null;
result.add(new ArrayList < >());
} else {
curr = curr.children[c - 'a'];
PriorityQueue < String> currMatchingProductsQueue = new PriorityQueue<>(curr.matchingProducts);
List currMatchingProducts = new ArrayList<>();
while (!currMatchingProductsQueue.isEmpty() && currMatchingProducts.size() < 3) {
currMatchingProducts.add(currMatchingProductsQueue.poll());
}
result.add(currMatchingProducts);
}
}
}
return result;
}
private class TrieNode {
TrieNode[] children;
PriorityQueue < String> matchingProducts;
public TrieNode() {
this.children = new TrieNode[26];
this.matchingProducts = new PriorityQueue < >();
}
}
}
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#2 Code Example with Javascript Programming
Code -
Javascript Programming
const suggestedProducts = function(products, searchWord) {
products.sort()
let res = [], left = 0, right = products.length - 1
for (let i = 0; i < searchWord.length; i++) {
let c = searchWord.charAt(i), tmp = []
while (products[left]?.charAt(i) < c) left++
while (products[right]?.charAt(i) > c) right--
for (let j = 0; j < 3 && left + j <= right; j++) tmp.push(products[left+j])
res.push(tmp)
}
return res
};
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#3 Code Example with C# Programming
Code -
C# Programming
using System;
using System.Collections.Generic;
namespace LeetCode
{
public class _1268_SearchSuggestionsSystem
{
public IList < IList() : curr2.Suggestion);
}
return res;
}
private class TrieNode
{
public List < string> Suggestion;
public TrieNode[] Children;
public TrieNode()
{
Suggestion = new List < string>();
Children = new TrieNode[26];
}
}
}
}
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