CPJKU/partitura
Oct 2024 – Nov 2024
2 Months active
Languages Used
PythonXML
Technical Skills
Data StructuresData ValidationFile HandlingMEI ParsingMusicXMLMusicXML Parsing
fosfrancesco
PROFILE
Fosfrancesco
Francesco Foscarin enhanced the CPJKU/partitura library by developing robust cross-staff beaming and voice support for MEI and MusicXML, focusing on accurate parsing and schema compliance. He introduced an auto merge_parts mode that standardizes voice assignment and numbering, reducing manual intervention and improving downstream processing. Using Python and XML, Francesco addressed schema validation issues by correcting MEI staff definitions and implemented default handling for missing attributes, which increased the reliability of MEI imports. His work demonstrated depth in data validation, error handling, and test-driven development, resulting in more stable score imports and reduced parsing exceptions for incomplete musical data.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
2
Lines of code
1,566
Activity Months2
Work History
November 2024
1 Commits
Nov 1, 2024November 2024 focused on reliability and robustness of the MEI parsing workflow in CPJKU/partitura. Delivered a targeted bug fix to apply default values for missing 'n' attributes in MEI staff and voice, preventing parsing exceptions with incomplete data and improving downstream processing stability. This improvement enhances data quality for downstream users and reduces maintenance overhead.
1 Commits
Nov 1, 2024November 2024 focused on reliability and robustness of the MEI parsing workflow in CPJKU/partitura. Delivered a targeted bug fix to apply default values for missing 'n' attributes in MEI staff and voice, preventing parsing exceptions with incomplete data and improving downstream processing stability. This improvement enhances data quality for downstream users and reduces maintenance overhead.
November 2024
October 2024
4 Commits • 2 Features
Oct 1, 2024Oct 2024 CPJKU/partitura focused on enabling robust cross-staff notation and reliable import/conversion for MEI and MusicXML, delivering features that directly improve data fidelity and downstream rendering. Key outcomes include a cross-staff beaming and voices support across MEI/MusicXML with test coverage, an auto merge_parts mode that supports up to four voices per staff and standardizes staff/voice numbering across merged parts, and a fix to MEI example validity to align with the MEI schema and resolve a related MusicXML conversion bug. These changes reduce manual adjustments, improve downstream processing reliability, and demonstrate strong skills in parsing, schema validation, and test-driven development.
October 2024
4 Commits • 2 Features
Oct 1, 2024Oct 2024 CPJKU/partitura focused on enabling robust cross-staff notation and reliable import/conversion for MEI and MusicXML, delivering features that directly improve data fidelity and downstream rendering. Key outcomes include a cross-staff beaming and voices support across MEI/MusicXML with test coverage, an auto merge_parts mode that supports up to four voices per staff and standardizes staff/voice numbering across merged parts, and a fix to MEI example validity to align with the MEI schema and resolve a related MusicXML conversion bug. These changes reduce manual adjustments, improve downstream processing reliability, and demonstrate strong skills in parsing, schema validation, and test-driven development.
Activity
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Quality Metrics
Correctness90.0%
Maintainability88.0%
Architecture86.0%
Performance88.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonXML
Technical Skills
Data StructuresData ValidationError HandlingFile HandlingMEI ParsingMusicXMLMusicXML ParsingMusicXML ProcessingPythonPython DevelopmentSchema ComplianceSoftware DesignSoftware TestingUnit Testing
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