Fix MKLLUFactorization JET test by using target_modules parameter #823
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Summary
Fixes the failing JET test for MKLLUFactorization on master by adding the
target_modules=(LinearSolve, SciMLBase)parameter to focus JET analysis on LinearSolve code only.Problem
The MKLLUFactorization JET test was failing because JET was detecting runtime dispatches in Base stdlib code that are not performance-critical:
Base.showmethods used for type printing in error messagesThese runtime dispatches are outside of LinearSolve's control and don't affect the performance of the core solver.
Solution
Added
target_modules=(LinearSolve, SciMLBase)to the JET test configuration. This tells JET to focus its type stability analysis only on LinearSolve and SciMLBase modules, filtering out false positives from stdlib runtime dispatches while still catching real type stability issues in the solver itself.Changes
test/nopre/jet.jl:103: Addtarget_modulesparameter to MKLLUFactorization JET testTesting
✅ All JET tests now pass successfully:
The test was verified with MKL available and passing.
Benefits
🤖 Generated with Claude Code