
The concept of abbreviating a word involves alternatively concatenating the first letter, the numerical count of letters between the first and last letter, and finally the last letter of the word itself. To illustrate, the abbreviation for "dog" is "d1g" since there's one letter between 'd' and 'g'. When the word length is only two, the abbreviation is the word itself, like "it" becomes "it".
This challenge involves implementing a class named ValidWordAbbr. This class should:
Utilize a constructor ValidWordAbbr(String[] dictionary) that initializes the class with a predefined list of words.
Include a method boolean isUnique(string word) that evaluates if a word's abbreviation is unique in two scenarios:
Input:
Output:
Explanation:
1 <= dictionary.length <= 3 * 10^41 <= dictionary[i].length <= 20dictionary[i] consists of lowercase English letters.1 <= word.length <= 20word consists of lowercase English letters.5000 calls will be made to isUnique.To effectively implement the ValidWordAbbr class functionality, particularly focusing on the uniqueness check of word abbreviations within the dictionary, we'll follow these steps:
Initialization of the Dictionary During the instantiation of the class with a dictionary parameter, process each word to generate its abbreviation. Maintain a mapping (using a dictionary or hashmap) where the key is the abbreviation and the value is a set of words that share this abbreviation. This helps in efficiently checking for uniqueness later.
Abbreviation Generation Method Define a helper function to compute the abbreviation for a given word according to the rules set out. This function will check the word length:
Uniqueness Check (isUnique method) Use the abbreviation generation method to derive the abbreviation of the word to be checked.
Check if the abbreviation is present in the dictionary:
If not, return true indicating uniqueness.
If present, check the set of words for this abbreviation:
true.false.These steps provide an efficient system to determine whether a given word's abbreviated form is unique within the constraints of the provided 'dictionary' after initialization. This approach efficiently utilizes data structures to minimize time complexity, particularly for large dictionaries and numerous calls to isUnique.
This Java solution handles the problem of determining whether a word's abbreviation is unique compared to a pre-defined list of words. The approach involves using a combination of a HashMap and HashSet to efficiently map abbreviations to their uniqueness and store the original words, respectively.
The class WordAbbreviator is defined with the following components:
abbreviationMap: A HashMap that stores the abbreviation as a key and a Boolean indicating its uniqueness as the value.originalWords: A HashSet used to store the original list of words provided at the initialization of the class.In the constructor WordAbbreviator(String[] words), initialize originalWords with the list of words. Iterate over these words to compute their abbreviations with the method createAbbreviation(String word). For each word's abbreviation:
abbreviationMap.containsKey(abbreviation).The createAbbreviation(String word) method generates the abbreviation:
The method isUnique(String query) determines if an abbreviation is unique:
abbreviationMap for the abbreviation's unique status:This setup offers efficient query performance due to the constant time complexity of hash operations, making it suitable for systems that require quick checks against a pre-existing list of words.
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