Gpt6Astra reverse-engineered the validator: hand-tuned paddings and a
copied check sequence (ValidationOverlap) to match its rounding. It now
reads parts with JobPartGeometry, takes clearance from NestTolerances,
checks candidates with NestLayoutCheck.Clears, and assembles results with
NestJobResultBuilder and NestJobCost; its tests use the shared kit. Its
contact search, beam search and extra Automatic angles are unchanged.
Synthetic benchmark (5 jobs, salvage 0.5): all valid, 2 sheets each,
cost 5574.07 -> 5470.07; time 1871 -> 2400 ms from the stricter shared
check on arc-heavy jobs.
Co-Authored-By: Codex <noreply@openai.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Priority was sorted descending, the reverse of the host (StockLadder and
NestJobCandidateComparer treat a lower number as more important), so a
priority-9 part beat a priority-0 part for scarce stock. The existing test
encoded the inverted rule and now asserts the host's direction.
Part geometry filtered only rapids, so scribe/etch moves counted as
material - the bug OpenNest fixed in 1b5e1b1. Use SpecialLayers.IsMaterial.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
OpenAI reuses model codenames across generations (GPT-6 reused
GPT-5.6's Sol and Luna), so a bare codename like "Astra" can't
identify which model built the engine. Prefixing the model version
keeps engine names unambiguous as more runs are added. The CLR type
is now Gpt6AstraNestingEngine, so benchmark reports show the new name.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
