Problem Description
Design a data structure that is initialized with a list of unique words. It supports a search query where, given a word, you determine if you can modify exactly one character to match any word in the dictionary.
Key Insights
- Only words with the same length as the search word can be candidates.
- For each candidate word, compare characters at each position; there must be exactly one difference.
- Using a hash table grouped by word lengths can lead to efficient comparisons.
- Alternative methods include using a Trie with support for "wildcard" matching, but grouping by word length is simpler given the constraints.
Space and Time Complexity
Time Complexity: O(N * L) per search, where N is the number of words with the matching length and L is the word length. Space Complexity: O(Total characters in dictionary), which is the space needed to store all the words.
Solution
We design the MagicDictionary class with two main methods: buildDict and search. In buildDict, we store all words in a hash table keyed by their length. This allows us to quickly filter candidates during the search. During search, we only iterate over the words that have the same length as the search word and count the differences at each character. If exactly one difference is found, we return true; otherwise, false. This approach avoids unnecessary comparisons and works well within the given constraints.