purdue-arc/sphero-swarm
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
DebuggingPythonSoftware Developmentalgorithm designgame developmentsimulation development
Aiden G
PROFILE
Aiden G
During October 2025, Guo contributed to the purdue-arc/sphero-swarm repository by enhancing simulation realism and reliability. Guo introduced a randomized epsilon threshold in Python, allowing the Sphero simulation to determine target reach with greater fidelity, which improved the accuracy of simulation outcomes. Additionally, Guo addressed a bug by correcting an import path in algorithm.py, ensuring constants were accessed through the proper module, thereby reducing runtime and import-time errors. These updates demonstrated proficiency in debugging, algorithm design, and simulation development, and were delivered through concise, well-documented commits that improved maintainability and traceability within the codebase over the month.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
9
Activity Months1
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Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025: Delivered two key updates for purdue-arc/sphero-swarm focusing on reliability and simulation realism. Implemented a corrected import path to access constants via the proper module path (bug fix) and introduced a randomized epsilon threshold (randomEpsilon) for determining when the Sphero reaches its target, enhancing realism. These changes reduce import-time/runtime errors, improve simulation fidelity, and support maintainability and traceability through concise commits.
2 Commits • 1 Features
Oct 1, 2025October 2025: Delivered two key updates for purdue-arc/sphero-swarm focusing on reliability and simulation realism. Implemented a corrected import path to access constants via the proper module path (bug fix) and introduced a randomized epsilon threshold (randomEpsilon) for determining when the Sphero reaches its target, enhancing realism. These changes reduce import-time/runtime errors, improve simulation fidelity, and support maintainability and traceability through concise commits.
October 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
DebuggingPythonSoftware Developmentalgorithm designgame developmentsimulation development
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