backtracking.word_ladder ======================== .. py:module:: backtracking.word_ladder .. autoapi-nested-parse:: Word Ladder is a classic problem in computer science. The problem is to transform a start word into an end word by changing one letter at a time. Each intermediate word must be a valid word from a given list of words. The goal is to find a transformation sequence from the start word to the end word. Wikipedia: https://en.wikipedia.org/wiki/Word_ladder Functions --------- .. autoapisummary:: backtracking.word_ladder.backtrack backtracking.word_ladder.word_ladder Module Contents --------------- .. py:function:: backtrack(current_word: str, path: list[str], end_word: str, word_set: set[str]) -> list[str] Helper function to perform backtracking to find the transformation from the current_word to the end_word. Parameters: current_word (str): The current word in the transformation sequence. path (list[str]): The list of transformations from begin_word to current_word. end_word (str): The target word for transformation. word_set (set[str]): The set of valid words for transformation. Returns: list[str]: The list of transformations from begin_word to end_word. Returns an empty list if there is no valid transformation from current_word to end_word. Example: >>> backtrack("hit", ["hit"], "cog", {"hot", "dot", "dog", "lot", "log", "cog"}) ['hit', 'hot', 'dot', 'lot', 'log', 'cog'] >>> backtrack("hit", ["hit"], "cog", {"hot", "dot", "dog", "lot", "log"}) [] >>> backtrack("lead", ["lead"], "gold", {"load", "goad", "gold", "lead", "lord"}) ['lead', 'lead', 'load', 'goad', 'gold'] >>> backtrack("game", ["game"], "code", {"came", "cage", "code", "cade", "gave"}) ['game', 'came', 'cade', 'code'] .. py:function:: word_ladder(begin_word: str, end_word: str, word_set: set[str]) -> list[str] Solve the Word Ladder problem using Backtracking and return the list of transformations from begin_word to end_word. Parameters: begin_word (str): The word from which the transformation starts. end_word (str): The target word for transformation. word_list (list[str]): The list of valid words for transformation. Returns: list[str]: The list of transformations from begin_word to end_word. Returns an empty list if there is no valid transformation. Example: >>> word_ladder("hit", "cog", ["hot", "dot", "dog", "lot", "log", "cog"]) ['hit', 'hot', 'dot', 'lot', 'log', 'cog'] >>> word_ladder("hit", "cog", ["hot", "dot", "dog", "lot", "log"]) [] >>> word_ladder("lead", "gold", ["load", "goad", "gold", "lead", "lord"]) ['lead', 'lead', 'load', 'goad', 'gold'] >>> word_ladder("game", "code", ["came", "cage", "code", "cade", "gave"]) ['game', 'came', 'cade', 'code']