qiboteam/qibo
May 2026 – May 2026
1 Month active
Languages Used
Python
Technical Skills
NumPyPythonback end developmentdata visualizationmatplotlibsoftware refactoring
Amal Raj
PROFILE
Amal Raj
Worked on the qiboteam/qibo repository to enhance reliability and reproducibility in figure handling and UI asset management. Addressed a bug in the mpldrawer component by normalizing hashed unitary labels, reducing runtime errors in wire label matching. Refactored test paths for improved clarity using Python and f-strings, and regenerated binary assets to maintain asset integrity. Developed a new utility function that converts Matplotlib figures into binary NumPy arrays, streamlining figure storage and comparison during testing. Leveraged skills in Python, NumPy, and data visualization to deliver targeted improvements, focusing on backend stability, testability, and maintainability within the project’s codebase.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
1
Lines of code
101
Activity Months1
Work History
May 2026
4 Commits • 1 Features
May 1, 2026May 2026 monthly summary for qiboteam/qibo: Stabilized UI assets and enhanced figure handling to improve reliability and build reproducibility. Delivered fixes for hashed unitary label lookup in mpldrawer, refactored test paths for clarity, and regenerated binary assets. Added a new utility to convert Matplotlib figures to binary NumPy arrays, enabling streamlined figure storage and comparison in tests.
4 Commits • 1 Features
May 1, 2026May 2026 monthly summary for qiboteam/qibo: Stabilized UI assets and enhanced figure handling to improve reliability and build reproducibility. Delivered fixes for hashed unitary label lookup in mpldrawer, refactored test paths for clarity, and regenerated binary assets. Added a new utility to convert Matplotlib figures to binary NumPy arrays, enabling streamlined figure storage and comparison in tests.
May 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability95.0%
Architecture95.0%
Performance95.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
NumPyPythonback end developmentdata visualizationmatplotlibsoftware refactoringtestingutility functions
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