288. Unique Word Abbreviation π
Description
The abbreviation of a word is a concatenation of its first letter, the number of characters between the first and last letter, and its last letter. If a word has only two characters, then it is an abbreviation of itself.
For example:
dog --> d1g
because there is one letter between the first letter'd'
and the last letter'g'
.internationalization --> i18n
because there are 18 letters between the first letter'i'
and the last letter'n'
.it --> it
because any word with only two characters is an abbreviation of itself.
Implement the ValidWordAbbr
class:
ValidWordAbbr(String[] dictionary)
Initializes the object with adictionary
of words.boolean isUnique(string word)
Returnstrue
if either of the following conditions are met (otherwise returnsfalse
):- There is no word in
dictionary
whose abbreviation is equal toword
's abbreviation. - For any word in
dictionary
whose abbreviation is equal toword
's abbreviation, that word andword
are the same.
- There is no word in
Example 1:
Input ["ValidWordAbbr", "isUnique", "isUnique", "isUnique", "isUnique", "isUnique"] [[["deer", "door", "cake", "card"]], ["dear"], ["cart"], ["cane"], ["make"], ["cake"]] Output [null, false, true, false, true, true] Explanation ValidWordAbbr validWordAbbr = new ValidWordAbbr(["deer", "door", "cake", "card"]); validWordAbbr.isUnique("dear"); // return false, dictionary word "deer" and word "dear" have the same abbreviation "d2r" but are not the same. validWordAbbr.isUnique("cart"); // return true, no words in the dictionary have the abbreviation "c2t". validWordAbbr.isUnique("cane"); // return false, dictionary word "cake" and word "cane" have the same abbreviation "c2e" but are not the same. validWordAbbr.isUnique("make"); // return true, no words in the dictionary have the abbreviation "m2e". validWordAbbr.isUnique("cake"); // return true, because "cake" is already in the dictionary and no other word in the dictionary has "c2e" abbreviation.
Constraints:
1 <= dictionary.length <= 3 * 104
1 <= dictionary[i].length <= 20
dictionary[i]
consists of lowercase English letters.1 <= word.length <= 20
word
consists of lowercase English letters.- At most
5000
calls will be made toisUnique
.
Solutions
Solution 1: Hash Table
According to the problem description, we define a function \(abbr(s)\), which calculates the abbreviation of the word \(s\). If the length of the word \(s\) is less than \(3\), then its abbreviation is itself; otherwise, its abbreviation is its first letter + (its length - 2) + its last letter.
Next, we define a hash table \(d\), where the key is the abbreviation of the word, and the value is a set, the elements of which are all words abbreviated as that key. We traverse the given word dictionary, and for each word \(s\) in the dictionary, we calculate its abbreviation \(abbr(s)\), and add \(s\) to \(d[abbr(s)]\).
When judging whether the word \(word\) meets the requirements of the problem, we calculate its abbreviation \(abbr(word)\). If \(abbr(word)\) is not in the hash table \(d\), then \(word\) meets the requirements of the problem; otherwise, we judge whether there is only one element in \(d[abbr(word)]\). If there is only one element in \(d[abbr(word)]\) and that element is \(word\), then \(word\) meets the requirements of the problem.
In terms of time complexity, the time complexity of initializing the hash table is \(O(n)\), where \(n\) is the length of the word dictionary; the time complexity of judging whether a word meets the requirements of the problem is \(O(1)\). In terms of space complexity, the space complexity of the hash table is \(O(n)\).
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