Refactor testing methodology to match Math_Foundations approach#6
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Refactor testing methodology to match Math_Foundations approach#6
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- Add environment-aware module loading with CI detection - Implement three-tier testing strategy: * Pure computational functions (calculate_*) * Integrated plotting functions (plot_*) * Legacy compatibility tests - Create modular test structure with separate files - Add calculate_param_line computational function - Separate plotting logic from mathematical logic - Update copilot-instructions.md with new testing patterns - Fix Point2f type consistency in center_of_gravity function - All 68 tests passing with robust CI compatibility Aligns Linear_Algebra testing with Math_Foundations methodology ensuring mathematical correctness is never compromised by visualization failures.
- Add explicit note that compilation patience applies to ALL Julia commands - Update CI test counts to reflect accurate 68 tests in both modes - Clarify that CI testing with 'CI=true julia --project=. test/runtests.jl' also requires patience for compilation phase - Confirmed all 68 tests pass in both local and CI environments
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Summary
Successfully refactored Linear_Algebra testing methodology to align with the superior Math_Foundations three-tier testing approach, ensuring mathematical correctness is never compromised by visualization failures.
Key Changes
1. Module-Level Environment Detection
src/Linear_Algebra.jl2. Three-Tier Testing Strategy
calculate_*functions with NO try-catch3. Modular Test Structure
runtests.jlinto modular structuretest_linear_algebra_basic.jlandtest_linear_algebra_transform.jl4. Function Separation
calculate_param_line()as pure computational functionplot_param_line()to use computational corecenter_of_gravity5. Enhanced Error Handling
6. Updated Documentation
.github/copilot-instructions.mdTest Results
Architecture Improvements
This refactor brings Linear_Algebra up to the same standard as Math_Foundations while maintaining all existing functionality and improving test reliability.