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''' | ||
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: | ||
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: | ||
Input: products = ["havana"], | ||
searchWord = "havana" | ||
Output: [ | ||
["havana"], | ||
["havana"], | ||
["havana"], | ||
["havana"], | ||
["havana"], | ||
["havana"] | ||
] | ||
Example: | ||
Input: products = ["bags","baggage","banner","box","cloths"], | ||
searchWord = "bags" | ||
Output: [ | ||
["baggage","bags","banner"], | ||
["baggage","bags","banner"], | ||
["baggage","bags"],["bags"] | ||
] | ||
Example: | ||
Input: products = ["havana"], | ||
searchWord = "tatiana" | ||
Output: [[],[],[],[],[],[],[]] | ||
Constraints: | ||
- 1 <= products.length <= 1000 | ||
- There are no repeated elements in products. | ||
- 1 <= Σ products[i].length <= 2 * 10^4 | ||
- All characters of products[i] are lower-case | ||
English letters. | ||
- 1 <= searchWord.length <= 1000 | ||
- All characters of searchWord are lower-case | ||
English letters. | ||
''' | ||
#Difficulty: Medium | ||
#41 / 41 test cases passed. | ||
#Runtime: 628 ms | ||
#Memory Usage: 17 MB | ||
|
||
#Runtime: 628 ms, faster than 19.59% of Python3 online submissions for Search Suggestions System. | ||
#Memory Usage: 17 MB, less than 89.61% of Python3 online submissions for Search Suggestions System. | ||
|
||
class Solution: | ||
def suggestedProducts(self, products: List[str], searchWord: str) -> List[List[str]]: | ||
products.sort() | ||
result = [] | ||
for i in range(1, len(searchWord)+1): | ||
temp = [] | ||
for word in products: | ||
if word.startswith(searchWord[:i]): | ||
temp.append(word) | ||
if 3 == len(temp): | ||
break | ||
result.append(temp) | ||
return result |
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