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feat(engine): expose NestJobCost, the benchmark's scoring

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Engines optimized guesses at the benchmark cost: Opus55 re-implemented
salvage credit, Qwen used plate area per part area, Gpt6Astra ignored
salvage. NestJobCost moves StockLadder's EstimateNetArea into a public
home (net sheet area, unplaced-part penalty, whole-result Evaluate) and
the benchmark and StockLadder now call it. Scores are unchanged: tests pin
it against a frozen copy of the old computation and real benchmark runs.
Bounds still include marks, as before, so scores do not move.

Co-Authored-By: Codex <noreply@openai.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
aj
2026-09-25 08:12:07 -04:00
co-authored by Codex Claude Opus 5.5
parent ae2b0beb45
commit dd1a958f5c
7 changed files with 286 additions and 39 deletions
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OpenNest.Engine/Jobs/StockLadderNestingEngine.cs
+6 -36
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@@ -97,7 +97,7 @@ public sealed class StockLadderNestingEngine : INestingEngine
// Initial construction only: material area, never raw part counts. Repacking below
// compares EXACTLY equivalent demand, and never replaces a sheet by a partial fill.
var value =
EstimateNetArea(job, sheet) / candidate.Placements.Sum(p => areas[p.PartId]);
NestJobCost.NetSheetArea(job, sheet) / candidate.Placements.Sum(p => areas[p.PartId]);
if (value < score - 1e-9)
{
winner = sheet;
@@ -188,7 +188,7 @@ public sealed class StockLadderNestingEngine : INestingEngine
var demand = old.SelectMany(s => s.Placements)
.GroupBy(p => p.PartId)
.ToDictionary(g => g.Key, g => g.Count());
var baseline = old.Sum(s => EstimateNetArea(job, s));
var baseline = old.Sum(s => NestJobCost.NetSheetArea(job, s));
NestJobPlateResult replacement = null;
foreach (var stock in job.Plates)
{
@@ -215,7 +215,7 @@ public sealed class StockLadderNestingEngine : INestingEngine
if (demand.Any(kv => !actual.TryGetValue(kv.Key, out var n) || n != kv.Value))
continue;
var trial = new NestJobPlateResult(index, stock, candidate.Placements);
var cost = EstimateNetArea(job, trial);
var cost = NestJobCost.NetSheetArea(job, trial);
if (cost >= baseline - 1e-9)
continue;
baseline = cost;
@@ -242,37 +242,7 @@ public sealed class StockLadderNestingEngine : INestingEngine
/// empty full-span edge rectangle outside every placed bounding box plus part clearance, within
/// the usable work area, and meeting the caller's minimum in both dimensions. Not a certified
/// remnant: no cut-off toolpath, kerf, handling, or future-demand valuation is modelled.</summary>
public static double EstimateNetArea(NestJob job, NestJobPlateResult sheet)
{
var area = sheet.Stock.Size.Width * sheet.Stock.Size.Length;
var minimum = job.Options.MinimumSalvageDimension;
if (job.Options.SalvageRate == 0 || minimum <= 0 || sheet.Placements.Count == 0)
return area;
var work = DrawingJobMapper.CreatePlate(sheet.Stock).WorkArea();
var parts = job.Parts.ToDictionary(p => p.Id);
var boxes = sheet
.Placements.Select(p =>
{
var part = new Part(DrawingJobMapper.CreateDrawing(parts[p.PartId]));
part.Rotate(p.Rotation);
part.Location = new OpenNest.Geometry.Vector(p.X, p.Y);
part.UpdateBounds();
return part.BoundingBox;
})
.ToList();
var gap = sheet.Stock.PartSpacing;
var candidates = new[]
{
(work.Length, boxes.Min(b => b.Bottom) - work.Bottom - gap),
(work.Length, work.Top - boxes.Max(b => b.Top) - gap),
(boxes.Min(b => b.Left) - work.Left - gap, work.Width),
(work.Right - boxes.Max(b => b.Right) - gap, work.Width),
};
var salvage = candidates
.Where(c => c.Item1 >= minimum && c.Item2 >= minimum)
.Select(c => c.Item1 * c.Item2)
.DefaultIfEmpty(0)
.Max();
return area - job.Options.SalvageRate * salvage;
}
[Obsolete("Use NestJobCost.NetSheetArea instead.")]
public static double EstimateNetArea(NestJob job, NestJobPlateResult sheet) =>
NestJobCost.NetSheetArea(job, sheet);
}