{ "data": { "question": { "questionId": "1397", "questionFrontendId": "1268", "boundTopicId": null, "title": "Search Suggestions System", "titleSlug": "search-suggestions-system", "content": "<p>You are given an array of strings <code>products</code> and a string <code>searchWord</code>.</p>\n\n<p>Design a system that suggests at most three product names from <code>products</code> after each character of <code>searchWord</code> is typed. Suggested products should have common prefix with <code>searchWord</code>. If there are more than three products with a common prefix return the three lexicographically minimums products.</p>\n\n<p>Return <em>a list of lists of the suggested products after each character of </em><code>searchWord</code><em> is typed</em>.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> products = ["mobile","mouse","moneypot","monitor","mousepad"], searchWord = "mouse"\n<strong>Output:</strong> [\n["mobile","moneypot","monitor"],\n["mobile","moneypot","monitor"],\n["mouse","mousepad"],\n["mouse","mousepad"],\n["mouse","mousepad"]\n]\n<strong>Explanation:</strong> products sorted lexicographically = ["mobile","moneypot","monitor","mouse","mousepad"]\nAfter typing m and mo all products match and we show user ["mobile","moneypot","monitor"]\nAfter typing mou, mous and mouse the system suggests ["mouse","mousepad"]\n</pre>\n\n<p><strong>Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> products = ["havana"], searchWord = "havana"\n<strong>Output:</strong> [["havana"],["havana"],["havana"],["havana"],["havana"],["havana"]]\n</pre>\n\n<p><strong>Example 3:</strong></p>\n\n<pre>\n<strong>Input:</strong> products = ["bags","baggage","banner","box","cloths"], searchWord = "bags"\n<strong>Output:</strong> [["baggage","bags","banner"],["baggage","bags","banner"],["baggage","bags"],["bags"]]\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 <= products.length <= 1000</code></li>\n\t<li><code>1 <= products[i].length <= 3000</code></li>\n\t<li><code>1 <= sum(products[i].length) <= 2 * 10<sup>4</sup></code></li>\n\t<li>All the strings of <code>products</code> are <strong>unique</strong>.</li>\n\t<li><code>products[i]</code> consists of lowercase English letters.</li>\n\t<li><code>1 <= searchWord.length <= 1000</code></li>\n\t<li><code>searchWord</code> consists of lowercase English letters.</li>\n</ul>\n", "translatedTitle": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Medium", "likes": 2149, "dislikes": 128, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "[\"mobile\",\"mouse\",\"moneypot\",\"monitor\",\"mousepad\"]\n\"mouse\"\n[\"havana\"]\n\"havana\"\n[\"bags\",\"baggage\",\"banner\",\"box\",\"cloths\"]\n\"bags\"", "categoryTitle": "Algorithms", "contributors": [], "topicTags": [ { "name": "Array", "slug": "array", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "String", "slug": "string", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Trie", "slug": "trie", "translatedName": null, "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "C++", "langSlug": "cpp", "code": "class Solution {\npublic:\n vector<vector<string>> suggestedProducts(vector<string>& products, string searchWord) {\n \n }\n};", "__typename": "CodeSnippetNode" }, { "lang": "Java", "langSlug": "java", "code": "class Solution {\n public List<List<String>> suggestedProducts(String[] products, String searchWord) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Python", "langSlug": "python", "code": "class Solution(object):\n def suggestedProducts(self, products, searchWord):\n \"\"\"\n :type products: List[str]\n :type searchWord: str\n :rtype: List[List[str]]\n \"\"\"\n ", "__typename": "CodeSnippetNode" }, { "lang": "Python3", "langSlug": "python3", "code": "class Solution:\n def suggestedProducts(self, products: List[str], searchWord: str) -> List[List[str]]:\n ", "__typename": "CodeSnippetNode" }, { "lang": "C", "langSlug": "c", "code": "\n\n/**\n * Return an array of arrays of size *returnSize.\n * The sizes of the arrays are returned as *returnColumnSizes array.\n * Note: Both returned array and *columnSizes array must be malloced, assume caller calls free().\n */\nchar *** suggestedProducts(char ** products, int productsSize, char * searchWord, int* returnSize, int** returnColumnSizes){\n\n}", "__typename": "CodeSnippetNode" }, { "lang": "C#", "langSlug": "csharp", "code": "public class Solution {\n public IList<IList<string>> SuggestedProducts(string[] products, string searchWord) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "JavaScript", "langSlug": "javascript", "code": "/**\n * @param {string[]} products\n * @param {string} searchWord\n * @return {string[][]}\n */\nvar suggestedProducts = function(products, searchWord) {\n \n};", "__typename": "CodeSnippetNode" }, { "lang": "Ruby", "langSlug": "ruby", "code": "# @param {String[]} products\n# @param {String} search_word\n# @return {String[][]}\ndef suggested_products(products, search_word)\n \nend", "__typename": "CodeSnippetNode" }, { "lang": "Swift", "langSlug": "swift", "code": "class Solution {\n func suggestedProducts(_ products: [String], _ searchWord: String) -> [[String]] {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Go", "langSlug": "golang", "code": "func suggestedProducts(products []string, searchWord string) [][]string {\n \n}", "__typename": "CodeSnippetNode" }, { "lang": "Scala", "langSlug": "scala", "code": "object Solution {\n def suggestedProducts(products: Array[String], searchWord: String): List[List[String]] = {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Kotlin", "langSlug": "kotlin", "code": "class Solution {\n fun suggestedProducts(products: Array<String>, searchWord: String): List<List<String>> {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Rust", "langSlug": "rust", "code": "impl Solution {\n pub fn suggested_products(products: Vec<String>, search_word: String) -> Vec<Vec<String>> {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "PHP", "langSlug": "php", "code": "class Solution {\n\n /**\n * @param String[] $products\n * @param String $searchWord\n * @return String[][]\n */\n function suggestedProducts($products, $searchWord) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "TypeScript", "langSlug": "typescript", "code": "function suggestedProducts(products: string[], searchWord: string): string[][] {\n\n};", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"145.1K\", \"totalSubmission\": \"221.7K\", \"totalAcceptedRaw\": 145067, \"totalSubmissionRaw\": 221682, \"acRate\": \"65.4%\"}", "hints": [ "Brute force is a good choice because length of the string is ≤ 1000.", "Binary search the answer.", "Use Trie data structure to store the best three matching. Traverse the Trie." ], "solution": { "id": "1067", "canSeeDetail": true, "paidOnly": false, "hasVideoSolution": false, "paidOnlyVideo": true, "__typename": "ArticleNode" }, "status": null, "sampleTestCase": "[\"mobile\",\"mouse\",\"moneypot\",\"monitor\",\"mousepad\"]\n\"mouse\"", "metaData": "{\n \"name\": \"suggestedProducts\",\n \"params\": [\n {\n \"name\": \"products\",\n \"type\": \"string[]\"\n },\n {\n \"type\": \"string\",\n \"name\": \"searchWord\"\n }\n ],\n \"return\": {\n \"type\": \"list<list<string>>\"\n }\n}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [], "enableRunCode": true, "enableTestMode": false, "enableDebugger": true, "envInfo": "{\"cpp\": [\"C++\", \"<p>Compiled with <code> clang 11 </code> using the latest C++ 17 standard.</p>\\r\\n\\r\\n<p>Your code is compiled with level two optimization (<code>-O2</code>). <a href=\\\"https://github.com/google/sanitizers/wiki/AddressSanitizer\\\" target=\\\"_blank\\\">AddressSanitizer</a> is also enabled to help detect out-of-bounds and use-after-free bugs.</p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\"], \"java\": [\"Java\", \"<p><code> OpenJDK 17 </code>. Java 8 features such as lambda expressions and stream API can be used. </p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\\r\\n<p>Includes <code>Pair</code> class from https://docs.oracle.com/javase/8/javafx/api/javafx/util/Pair.html.</p>\"], \"python\": [\"Python\", \"<p><code>Python 2.7.12</code>.</p>\\r\\n\\r\\n<p>Most libraries are already imported automatically for your convenience, such as <a href=\\\"https://docs.python.org/2/library/array.html\\\" target=\\\"_blank\\\">array</a>, <a href=\\\"https://docs.python.org/2/library/bisect.html\\\" target=\\\"_blank\\\">bisect</a>, <a href=\\\"https://docs.python.org/2/library/collections.html\\\" target=\\\"_blank\\\">collections</a>. If you need more libraries, you can import it yourself.</p>\\r\\n\\r\\n<p>For Map/TreeMap data structure, you may use <a href=\\\"http://www.grantjenks.com/docs/sortedcontainers/\\\" target=\\\"_blank\\\">sortedcontainers</a> library.</p>\\r\\n\\r\\n<p>Note that Python 2.7 <a href=\\\"https://www.python.org/dev/peps/pep-0373/\\\" target=\\\"_blank\\\">will not be maintained past 2020</a>. For the latest Python, please choose Python3 instead.</p>\"], \"c\": [\"C\", \"<p>Compiled with <code>gcc 8.2</code> using the gnu99 standard.</p>\\r\\n\\r\\n<p>Your code is compiled with level one optimization (<code>-O1</code>). <a href=\\\"https://github.com/google/sanitizers/wiki/AddressSanitizer\\\" target=\\\"_blank\\\">AddressSanitizer</a> is also enabled to help detect out-of-bounds and use-after-free bugs.</p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\\r\\n\\r\\n<p>For hash table operations, you may use <a href=\\\"https://troydhanson.github.io/uthash/\\\" target=\\\"_blank\\\">uthash</a>. \\\"uthash.h\\\" is included by default. Below are some examples:</p>\\r\\n\\r\\n<p><b>1. Adding an item to a hash.</b>\\r\\n<pre>\\r\\nstruct hash_entry {\\r\\n int id; /* we'll use this field as the key */\\r\\n char name[10];\\r\\n UT_hash_handle hh; /* makes this structure hashable */\\r\\n};\\r\\n\\r\\nstruct hash_entry *users = NULL;\\r\\n\\r\\nvoid add_user(struct hash_entry *s) {\\r\\n HASH_ADD_INT(users, id, s);\\r\\n}\\r\\n</pre>\\r\\n</p>\\r\\n\\r\\n<p><b>2. Looking up an item in a hash:</b>\\r\\n<pre>\\r\\nstruct hash_entry *find_user(int user_id) {\\r\\n struct hash_entry *s;\\r\\n HASH_FIND_INT(users, &user_id, s);\\r\\n return s;\\r\\n}\\r\\n</pre>\\r\\n</p>\\r\\n\\r\\n<p><b>3. 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If you need more libraries, you can import it yourself.</p>\\r\\n\\r\\n<p>For Map/TreeMap data structure, you may use <a href=\\\"http://www.grantjenks.com/docs/sortedcontainers/\\\" target=\\\"_blank\\\">sortedcontainers</a> library.</p>\"], \"scala\": [\"Scala\", \"<p><code>Scala 2.13.7</code>.</p>\"], \"kotlin\": [\"Kotlin\", \"<p><code>Kotlin 1.3.10</code>.</p>\"], \"rust\": [\"Rust\", \"<p><code>Rust 1.58.1</code></p>\\r\\n\\r\\n<p>Supports <a href=\\\"https://crates.io/crates/rand\\\" target=\\\"_blank\\\">rand </a> v0.6\\u00a0from crates.io</p>\"], \"php\": [\"PHP\", \"<p><code>PHP 8.1</code>.</p>\\r\\n<p>With bcmath module</p>\"], \"typescript\": [\"Typescript\", \"<p><code>TypeScript 4.5.4, Node.js 16.13.2</code>.</p>\\r\\n\\r\\n<p>Your code is run with <code>--harmony</code> flag, enabling <a href=\\\"http://node.green/\\\" target=\\\"_blank\\\">new ES2020 features</a>.</p>\\r\\n\\r\\n<p><a href=\\\"https://lodash.com\\\" target=\\\"_blank\\\">lodash.js</a> library is included by default.</p>\"]}", "libraryUrl": null, "adminUrl": null, "challengeQuestion": null, "__typename": "QuestionNode" } } }