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Introduction to Luv.Tries Luv.Tries is a data structure that combines the efficiency of a trie with the versatility of a suffix tree. It is particularly useful for applications that require fast substring search operations, such as spell checkers, autocomplete functionalities, and DNA sequencing algorithms. In this article, we delve into the intricacies of Luv.Tries, exploring its construction, operations, and practical applications. Construction of Luv.Tries Luv.Tries are built by recursively dividing the input text into smaller substrings and storing them in a tree-like structure. Each node in the trie represents a substring of the input text, and edges denote the transitions between substrings. The unique feature of Luv.Tries lies in its ability to merge nodes that share commo...