refactor: use DiffResults for single-pass derivative calculations#453
refactor: use DiffResults for single-pass derivative calculations#453henry2004y merged 2 commits intomasterfrom
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Summary of ChangesHello @henry2004y, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces a significant optimization to the field calculation routines by leveraging the Highlights
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Code Review
This pull request refactors several functions to use DiffResults.jl for more efficient derivative calculations. By computing the function value and its Jacobian in a single pass, it successfully eliminates redundant function evaluations in get_B_parameters, get_E_parameters, and _get_B_jacobian. The implementation is correct and achieves the intended performance optimization. I've added a few minor suggestions to improve the code's idiomatic style by removing redundant variable assignments from in-place function calls.
Benchmark Results (Julia v1)Time benchmarks
Memory benchmarks
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
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This PR integrates DiffResults to optimize field calculations by computing jacobians and function values in a single pass, eliminating redundant field evaluations.
The optimization eliminates redundant field evaluations in three critical functions:
get_B_parameters: Used in guiding center equations for computing magnetic field propertiesget_E_parameters: Used for computing electric field properties_get_B_jacobian: Helper function used byget_magnetic_propertiesandget_curvature