Implementation and Testing of Graph Classes and Methods

📅 2023-09-11 — Session: Implementation and Testing of Graph Classes and Methods

🕒 17:30–18:50
🏷️ Labels: Graph Theory, Python, Timing Experiment, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to implement and test various graph representations and methods to analyze their performance and optimize execution time.

Key Activities

• Developed functions to generate random adjacency matrices and graph representations.
• Implemented Python classes GraphWithEdgeSet and GraphWithNeighborhoodSet for graph representation.
• Updated classes to accept edge sets and neighborhood sets during initialization.
• Designed and executed timing experiments using timing_experiment() function to measure performance of graph methods.
• Identified and resolved errors in graph initialization and method execution, including argument handling and edge existence checks.

Achievements

• Successfully created and tested graph classes and methods, providing empirical insights into their performance.
• Developed a flexible timing_experiment() function for performance analysis.
• Identified optimization opportunities to improve experiment execution time.

Pending Tasks

• Correct argument handling in timing_experiment() function to prevent duplication.
• Implement error handling for remove_edge operation to check edge existence before deletion.