
During a two-month period, Michael Koeppe enhanced the SciPy and emscripten-forge/recipes repositories by focusing on build reliability and expanding mathematical tooling for web environments. In SciPy, he stabilized C API module generation by replacing sys.executable-based f2py invocation with direct calls in Python, reducing cross-platform build failures. For emscripten-forge/recipes, he developed and integrated new Emscripten-based mathematical backends and utilities, including optimization and polyhedral libraries, using Python, C, and YAML for build automation and packaging. He also improved CI/CD workflows to streamline artifact accessibility, demonstrating depth in build systems, package management, and cross-platform software development for scientific computing.
February 2026 (emscripten-forge/recipes): Key work focused on expanding the Emscripten-based mathematical backend and utilities ecosystem under the Passagemath project, delivering browser-ready tooling and expanding the web math toolbox. Implemented and integrated a broad suite of packages and modules to support optimization backends, polyhedral libraries, and plotting/utility functions on wasm. Delivered foundational and new components including passagemath-glpk, passagemath-highs, passagemath-plot, passagemath-ppl, lrcalc, treedec, passagemath-tdlib, cddlib, and a large set of passagemath environment modules (environment, setup, objects, memory-allocator, categories, graphs, cmr). These changes were shipped alongside a robust packaging workflow and CI improvements. Additional CI/CD and quality improvements: - CI/CD workflow enhancements to upload built packages as artifacts, improving release visibility and accessibility of build outputs. - Patch-level fixes to stabilize wasm builds (e.g., cysignals threading adjustments) and tests/import handling to align with Emscripten constraints. Overall, the work expands the browser-ready math ecosystem, accelerates web-based deployment of complex math tooling, and strengthens release engineering for emscripten-forge/recipes.
February 2026 (emscripten-forge/recipes): Key work focused on expanding the Emscripten-based mathematical backend and utilities ecosystem under the Passagemath project, delivering browser-ready tooling and expanding the web math toolbox. Implemented and integrated a broad suite of packages and modules to support optimization backends, polyhedral libraries, and plotting/utility functions on wasm. Delivered foundational and new components including passagemath-glpk, passagemath-highs, passagemath-plot, passagemath-ppl, lrcalc, treedec, passagemath-tdlib, cddlib, and a large set of passagemath environment modules (environment, setup, objects, memory-allocator, categories, graphs, cmr). These changes were shipped alongside a robust packaging workflow and CI improvements. Additional CI/CD and quality improvements: - CI/CD workflow enhancements to upload built packages as artifacts, improving release visibility and accessibility of build outputs. - Patch-level fixes to stabilize wasm builds (e.g., cysignals threading adjustments) and tests/import handling to align with Emscripten constraints. Overall, the work expands the browser-ready math ecosystem, accelerates web-based deployment of complex math tooling, and strengthens release engineering for emscripten-forge/recipes.
January 2026: SciPy build reliability improvements focused on f2py invocation during C API module generation. Replaced sys.executable-based invocation with direct f2py calls in generate_f2pymod.py, addressing regression and stabilizing C API module generation across platforms. This reduces build-time failures and simplifies maintenance of the build tooling, contributing to smoother release cycles for SciPy.
January 2026: SciPy build reliability improvements focused on f2py invocation during C API module generation. Replaced sys.executable-based invocation with direct f2py calls in generate_f2pymod.py, addressing regression and stabilizing C API module generation across platforms. This reduces build-time failures and simplifies maintenance of the build tooling, contributing to smoother release cycles for SciPy.

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