Sample implementations:
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A trie stores strings in a rooted tree whose edges represent symbols; the path from the root spells a prefix. A separate terminal marker distinguishes a stored word from a prefix of another. Storing
to, tea and ten shares the initial t, and tea with ten also shares te. Lookup follows one edge per symbol, taking time for a length- key when child selection is constant-time. Dense child arrays use more memory than sparse maps. A trie naturally supports prefix queries and longest-prefix matching.[ref]https://raw.githubusercontent.com/kevin-wayne/algs4/master/src/main/java/edu/princeton/cs/algs4/TrieST.java. Class documentation: key operations, prefix queries and length-based costs