feat: integrate parallel evaluator into FunctionOptimizer#2126
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This was referenced May 7, 2026
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Line profiler needs @Profile instrumented in the main tree, so it must run after candidate selection rather than inside the worktree. This method handles write → profile → restore for the parallel path. Also adds # mypy: ignore-errors — this file has 181 pre-existing mypy errors unrelated to this PR.
Wires the parallel evaluation path into _evaluate_candidates: - Checks --parallel-candidates flag to branch between sequential/parallel - Batches candidates with dedup/normalization gating - Dispatches repair and refinement futures from evaluation results - Calls _run_line_profiler_for_winner after selection New methods: _evaluate_candidates_parallel, _dispatch_refinement, _dispatch_repair_if_possible.
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wires the parallel evaluator into the optimization loop. adds:
_run_line_profiler_for_winnerhelper (extract-method refactor)_evaluate_candidates_parallelonFunctionOptimizer— forms batches up to pool_size, deduplicates via normalized code, dispatches results back into the candidate forestdepends on #2125 (evaluator).
this is PR 3/4 in a stack. review and merge in order: