This code helps a dragon named Tohru decide which items to buy as a gift for her master by processing a list of items and several queries. Each item has two values: how much Tohru likes it (P) and how much her master values it (V). The code first reads all the items and stores them in a way that makes it easy to sort and compare them. Then, for each query, it finds items that are valued at or below a certain threshold (X), sorts these items by how much Tohru likes them, and returns the top K items. If there are fewer than K items that meet the criteria, it returns all of them. If no items meet the criteria, it returns -1. The code uses efficient data structures to handle up to 200,000 items and queries quickly.
Efficient Data Handling: Leveraged dictionaries and heaps to categorize and rank items based on their perceived and valued metrics. Optimal Query Processing: Implemented fast search and retrieval using bisect and heap operations to ensure quick responses to queries. Scalability: Designed the solution to handle up to 200,000 items and queries, ensuring performance under heavy loads.
