

July 2025: Stabilized Windows CI/CD for QMCPy and removed unstable MPMC distribution changes to ensure reliable, cross-platform builds. Delivered Windows C++ build tools and platform-specific installation steps to enable building, installing, and testing QMCPy on Windows within CI/CD. Reverted the MPMC distribution integration to restore prior behavior and reduce configuration/dependency drift.
July 2025: Stabilized Windows CI/CD for QMCPy and removed unstable MPMC distribution changes to ensure reliable, cross-platform builds. Delivered Windows C++ build tools and platform-specific installation steps to enable building, installing, and testing QMCPy on Windows within CI/CD. Reverted the MPMC distribution integration to restore prior behavior and reduce configuration/dependency drift.
Summary for 2025-06 (QMCSoftware/QMCSoftware): Delivered stability, cross-platform reliability, and CI/packaging enhancements to accelerate safe deployments. Windows test stability and environment setup completed; reproducible builds improved via Makefile, environment.yml, and conda YAML updates; cross-platform compatibility tightened with consistent version handling and removal of torch-spline-conv; test coverage expanded with device and workflow tests; Windows environment optimization split out dedicated config to simplify builds and improve reliability; packaging/CI workflows for Conda Python packaging streamlined, reducing build errors and cycle time.
Summary for 2025-06 (QMCSoftware/QMCSoftware): Delivered stability, cross-platform reliability, and CI/packaging enhancements to accelerate safe deployments. Windows test stability and environment setup completed; reproducible builds improved via Makefile, environment.yml, and conda YAML updates; cross-platform compatibility tightened with consistent version handling and removal of torch-spline-conv; test coverage expanded with device and workflow tests; Windows environment optimization split out dedicated config to simplify builds and improve reliability; packaging/CI workflows for Conda Python packaging streamlined, reducing build errors and cycle time.
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