
Andrea Petrocchi developed and standardized packaging recipes for the MaMMoS ecosystem within the conda-forge/staged-recipes repository, focusing on scientific computing workflows. Over two months, Andrea delivered recipes for magnetic units, ontology-linked entities, and five additional MaMMoS components, each with complete metadata, dependency management, and automated testing commands. Using Python and YAML, Andrea ensured cross-platform compatibility by refining build instructions, removing Windows-specific builds, and aligning dependencies for Linux, macOS, and Windows. This work improved installation reliability, reproducibility, and maintainability for downstream users, demonstrating a thorough approach to environment configuration, package management, and adherence to conda-forge best practices.
December 2025 focused on expanding the Mammos ecosystem within conda-forge/staged-recipes and strengthening cross-platform packaging. Delivered five new recipes (mammos-dft, mammos-spindynamics, mammos-analysis, mammos-mumag, mammos-ai) with complete metadata, dependencies, build instructions, and testing commands. Standardized platform support by removing Windows builds, standardizing noarch dependencies, and scoping Unix-specific components (e.g., jax), resulting in Linux/macOS/Windows compatibility and more reproducible builds. This work improves installation reliability for end users, accelerates upstream integration, and demonstrates strong packaging discipline and adherence to conda-forge best practices.
December 2025 focused on expanding the Mammos ecosystem within conda-forge/staged-recipes and strengthening cross-platform packaging. Delivered five new recipes (mammos-dft, mammos-spindynamics, mammos-analysis, mammos-mumag, mammos-ai) with complete metadata, dependencies, build instructions, and testing commands. Standardized platform support by removing Windows builds, standardizing noarch dependencies, and scoping Unix-specific components (e.g., jax), resulting in Linux/macOS/Windows compatibility and more reproducible builds. This work improves installation reliability for end users, accelerates upstream integration, and demonstrates strong packaging discipline and adherence to conda-forge best practices.
Month: 2025-11 — Delivered two packaging recipes for MaMMoS-related components in conda-forge/staged-recipes, enabling standardized distribution, testing, and onboarding for downstream users. Implemented magnetic units support and ontology-linked entities, with clear build/test metadata to ensure quality and reproducibility.
Month: 2025-11 — Delivered two packaging recipes for MaMMoS-related components in conda-forge/staged-recipes, enabling standardized distribution, testing, and onboarding for downstream users. Implemented magnetic units support and ontology-linked entities, with clear build/test metadata to ensure quality and reproducibility.

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