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BoggleSearch

This is the coding challenge assigned by Jobox. The detailed problem statement is described in problem.pdf. My approach is to use a Trie (Prefix tree) to store the dictionary followed by a depth frist search (DFS). The prefix tree provides an O(n) search time complexity where n is the length of the input word. Because a valid word is at least three characters long, I do not insert words less than 3 characters into the tree. DFS were performed on every character in the input test file (Default file name is test.txt). I constructed another grid to store the visited spots in the DFS, which costs additional O(m^2) space complexity for m x m matrix.

To run the program, use python main.py --testfile <filename>. For example if the input test file is test.txt, use python main.py --testfile test.txt.

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