December 2024 monthly summary for openbraininstitute/neurodamus: focused on dependency maintenance and NMODL language recognition to enhance security, maintainability, and discoverability. Delivered forward-looking updates with clean commit history and clear upgrade path.

Month: 2024-11 Overview: In November, I completed a targeted set of dependency and build-configuration updates across two related repositories, focusing on improving installability, future-proofing for Python 3.9+ and newer NumPy versions, and aligning build requirements to reduce compatibility friction for downstream users. Key features delivered (per repo): - spack/spack-packages: Core Dependency Compatibility Updates. Updated numpy-quaternion to v2024.0.3 with adjusted build dependencies and version bounds for Python, setuptools, numpy, and scipy, and introduced a new SHA256; updated libsonata to v0.1.29 with a new SHA256 and Python 3.9+ requirement. Commits: b67347f3e08b504959703916e1cbdec77cf901cf, dc1d22528fca606e8761598eb98ddab14707fd40. - spack/spack: Dependency Compatibility Updates for py-numpy-quaternion and py-libsonata. Bumped and aligned dependencies to ensure compatibility with newer Python and NumPy versions; updated build tool version requirements for py-numpy-quaternion and ensured Python 3.9+ compatibility for py-libsonata. Commits: e91b8c291a5154f41e42d329f51955b996985c8f, 6ef0f495a967ffaa7cffedc630c58d4a98824a6a. Major bugs fixed: - Addressed cross-repo dependency mismatches by aligning Python version requirements and build-tool constraints to support modern environments (Python 3.9+ and newer NumPy), reducing install-time failures and user friction. Overall impact and accomplishments: - Improved installability and reliability for end users, enabling smoother adoption of numpy-quaternion and libsonata in scientific workflows. - Strengthened cross-repo collaboration and traceability with explicit versioned updates and SHA256 checksums, supporting reproducible builds. - Prepared the codebase for longer-term maintenance by codifying compatibility boundaries (Python 3.9+), which reduces future breakage from upstream changes. Technologies/skills demonstrated: - Dependency management and packaging (version pins, SHA256, Python version constraints) - Build-system discipline and cross-repo coordination - Semver alignment and upgrade messaging for downstream users - Traceable change management through commit-based provenance