Implementation and Testing of Graph Classes and Methods

Day: 2023-09-11
Time: 17:30 to 18:50
Project: Dev
Workspace: WP 2: Operational
Status: Completed
Priority: MEDIUM
Assignee: Matías Nehuen Iglesias
Tags: Graph Theory, Python, Timing Experiment, Error Handling

Description

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

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.

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.

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

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