A chat application is building a new immersive feature for their customers to enhance their experience. To train the model for this feature, the developers have prepared a dataset. In the dataset, there are two columns: The first column contains a new search term A (a string written without spaces). The second column contains N unique space-separated words. Task The training model is designed to accept both columns as input and return all feasible sentences after inserting spaces in the search term A, such that: - Each word in the sentence exists in the second column. - A word from the second column can be used multiple times. - Each letter from the search term A must be used in forming the sentence. - The relative positions of the letters in search term A must remain the same in the output. Input Format First line: A string searchTermA, representing the search term A without spacing. Second line: An integer word_size, representing the total number of words in the second column. Third line: N space-separated words, representing the list of words available for sentence formation.