def search_and_rank_query(query, inverted_index, k, number_of_documents,
inverted_documents_dict, load_path):
p = Parse()
query_object = p.parse_query(query)
searcher = Searcher(inverted_index, number_of_documents, load_path)
relevant_docs = searcher.relevant_docs_from_posting(query_object)
normalized_query = searcher.normalized_query(query_object)
ranked_docs = searcher.ranker.rank_relevant_doc(relevant_docs,
normalized_query,
inverted_documents_dict)
return searcher.ranker.retrieve_top_k(ranked_docs, k)
