The Python Treaps project is a comprehensive implementation of the Treaps data structure, developed to showcase my proficiency in Python, data structures, and algorithms. Treaps combine the properties of binary search trees and heap data structures, providing efficient operations for both searching and prioritizing elements.
Please note that the code in this repository is intended for demonstration purposes only and should not be used for any other purpose.
Treap Construction: The project provides a robust implementation of the Treaps data structure, including methods for creating and initializing a Treap.
Insertion and Deletion: Efficient insertion and deletion operations are implemented, maintaining the Treap's binary search tree property and heap property simultaneously. This ensures optimal performance in dynamic scenarios.
Priority-based Operations: The Treaps data structure allows elements to be prioritized based on a randomly assigned key. The project includes methods to assign and update priorities, enabling efficient priority-based operations such as finding the element with the maximum priority.
Search and Retrieval: The project provides methods for searching and retrieving elements from the Treap, leveraging the binary search tree property. This allows for fast and accurate element retrieval based on their key.
Traversals: The project includes various traversal methods, such as in-order, pre-order, and post-order, to explore the elements within the Treap.
Balancing and Rebalancing: The Treaps implementation ensures that the binary search tree property and heap property are maintained through efficient balancing and rebalancing techniques. This guarantees optimal performance and avoids degenerate cases.
Comprehensive Documentation: The project is accompanied by comprehensive documentation, including explanations of the Treaps data structure, implementation details, and usage examples. This documentation serves as a valuable resource for understanding the project's inner workings and leveraging its capabilities effectively.
Once you have installed the project, you can start using the treap using the command
from py_treaps.treap_map import TreapMap
Please note that the code in this repository is provided solely for demonstration purposes and should not be used for any other purpose. My main contribution in the project is to the treap_map.py and treap_node.py modules.
If you encounter any issues or bugs during your exploration of the repository, please open an issue, and I'll do my best to address it.