cctbx/cctbx_project
Nov 2024 – Apr 2025
2 Months active
Languages Used
Python
Technical Skills
Bug FixBuild System IntegrationCode CleanupCode RefactoringCrystallographyData Parsing
cschlick
PROFILE
Cschlick
Chris Schlicksup contributed to the cctbx/cctbx_project repository by developing symmetry-aware geometry parsing with ASU bond proxy support, enhancing the accuracy of structure refinement in crystallography workflows. Using Python and object-oriented programming, Chris improved file parsing reliability across different Python environments and refactored code to simplify maintenance and increase CI stability. He also integrated Molstar into the build system, creating a dedicated conda environment and a bootstrap builder to streamline installation and deployment. This work reduced manual setup steps, improved reproducibility, and positioned Molstar-phenix workflows for broader adoption, demonstrating depth in build system configuration and dependency management.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
2
Lines of code
139
Activity Months2
Your Network
76 people
Work History
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for cctbx_project: Implemented Molstar integration to streamline installation and deployment. Introduced a dedicated conda environment for phenix_molstar and a bootstrap builder (molstar_adaptbx) to manage Molstar installation, defining source modules and registering the builder. This work enhances reproducibility, reduces manual steps, and positions Molstar-phenix workflows for broader adoption.
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for cctbx_project: Implemented Molstar integration to streamline installation and deployment. Introduced a dedicated conda environment for phenix_molstar and a bootstrap builder (molstar_adaptbx) to manage Molstar installation, defining source modules and registering the builder. This work enhances reproducibility, reduces manual steps, and positions Molstar-phenix workflows for broader adoption.
April 2025
November 2024
6 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for cctbx/cctbx_project: Delivered symmetry-aware geometry parsing with ASU bond proxy support, improved parsing reliability across Python environments, and targeted code-quality enhancements to strengthen maintainability and CI stability. These changes increase accuracy in structure refinement, reduce test fragility, and support scalable crystallography workflows.
November 2024
6 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for cctbx/cctbx_project: Delivered symmetry-aware geometry parsing with ASU bond proxy support, improved parsing reliability across Python environments, and targeted code-quality enhancements to strengthen maintainability and CI stability. These changes increase accuracy in structure refinement, reduce test fragility, and support scalable crystallography workflows.
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance90.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Bug FixBuild System ConfigurationBuild System IntegrationCode CleanupCode RefactoringCrystallographyData ParsingDependency ManagementFile ParsingGeometry RestraintsObject-Oriented ProgrammingPythonPython ScriptingSoftware InstallationSymmetry Operations
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