Given an array of strings products
and a string searchWord
. We want to 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 the searchWord. If there are more than three products with a common prefix return the three lexicographically minimums products.
Return 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"]]
Example 3:
Input: products = ["bags","baggage","banner","box","cloths"], searchWord = "bags" Output: [["baggage","bags","banner"],["baggage","bags","banner"],["baggage","bags"],["bags"]]
Example 4:
Input: products = ["havana"], searchWord = "tatiana" Output: [[],[],[],[],[],[],[]]
Constraints:
1 <= products.length <= 1000
products
.1 <= Σ products[i].length <= 2 * 10^4
products[i]
are lower-case English letters.1 <= searchWord.length <= 1000
searchWord
are lower-case English letters.struct Solution;
use std::usize;
impl Solution {
fn suggested_products(mut products: Vec<String>, search_word: String) -> Vec<Vec<String>> {
let mut res = vec![];
products.sort_unstable();
let n = products.len();
let mut prefix = "".to_string();
let mut start = 0;
for c in search_word.chars() {
prefix.push(c);
start = start
+ products[start..]
.binary_search(&prefix)
.unwrap_or_else(|p| p);
let mut list: Vec<String> = vec![];
let end = usize::min(start + 3, n);
for i in start..end {
if products[i].starts_with(&prefix) {
list.push(products[i].clone());
}
}
res.push(list);
}
res
}
}
#[test]
fn test() {
let products = vec_string!["mobile", "mouse", "moneypot", "monitor", "mousepad"];
let search_word = "mouse".to_string();
let res: Vec<Vec<String>> = vec_vec_string![
["mobile", "moneypot", "monitor"],
["mobile", "moneypot", "monitor"],
["mouse", "mousepad"],
["mouse", "mousepad"],
["mouse", "mousepad"]
];
assert_eq!(Solution::suggested_products(products, search_word), res);
let products = vec_string!["havana"];
let search_word = "havana".to_string();
let res: Vec<Vec<String>> = vec_vec_string![
["havana"],
["havana"],
["havana"],
["havana"],
["havana"],
["havana"]
];
assert_eq!(Solution::suggested_products(products, search_word), res);
let products = vec_string!["bags", "baggage", "banner", "box", "cloths"];
let search_word = "bags".to_string();
let res: Vec<Vec<String>> = vec_vec_string![
["baggage", "bags", "banner"],
["baggage", "bags", "banner"],
["baggage", "bags"],
["bags"]
];
assert_eq!(Solution::suggested_products(products, search_word), res);
let products = vec_string!["havana"];
let search_word = "tatiana".to_string();
let res: Vec<Vec<String>> = vec_vec_string![[], [], [], [], [], [], []];
assert_eq!(Solution::suggested_products(products, search_word), res);
}