745. Prefix and Suffix Search
package LeetCode_745 /** * 745. Prefix and Suffix Search * https://leetcode.com/problems/prefix-and-suffix-search/description/ * Given many words, words[i] has weight i. Design a class WordFilter that supports one function, WordFilter.f(String prefix, String suffix). It will return the word with given prefix and suffix with maximum weight. If no word exists, return -1. Examples: Input: WordFilter(["apple"]) WordFilter.f("a", "e") // returns 0 WordFilter.f("b", "") // returns -1 Note: words has length in range [1, 15000]. For each test case, up to words.length queries WordFilter.f may be made. words[i] has length in range [1, 10]. prefix, suffix have lengths in range [0, 10]. words[i] and prefix, suffix queries consist of lowercase letters only. * */ /* * solution 1: HashMap, Time complexity:O(n*len^3 + n*len), Space complexity:O(n*len^3) * n is number of words, len is the max length of word * */ class WordFilter(words: Array<String>) { //key is string form: perfix_suffix, value is Index val map = HashMap<String, Int>() init { buildMap(words) } /* * build map by word, * for example: apple can generate the key: a_e, ap_le, app_ple, appl_pple, apple_apple * */ private fun buildMap(words: Array<String>) { var index = 0 for (word in words) { val len = word.length val perfixs = Array<String>(len + 1, { "" }) val suffixs = Array<String>(len + 1, { "" }) for (i in 0 until len) { perfixs[i + 1] = perfixs[i] + word[i] suffixs[i + 1] = word[len - i - 1] + suffixs[i] } //put perfixs and suffixs input map for (perfix in perfixs) { for (suffix in suffixs) { //HashMap can replace and value if the same key map.put(perfix + "_" + suffix, index) } } index++ } } fun f(prefix: String, suffix: String): Int { val key = prefix + "_" + suffix if (map.containsKey(key)) { return map.get(key)!! } return -1 } } /** * Your WordFilter object will be instantiated and called as such: * var obj = WordFilter(words) * var param_1 = obj.f(prefix,suffix) */
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