perf: use convex hull NFP to avoid Clipper2 union bottleneck
ConvexMinkowskiSum is O(n+m) with no boolean geometry ops. The concave Minkowski path was doing triangulation + pairwise sums + Clipper2 Union, which hung at 100% CPU for complex parts. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -78,7 +78,7 @@ namespace OpenNest.Geometry
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/// edge vectors sorted by angle. O(n+m) where n and m are vertex counts.
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/// edge vectors sorted by angle. O(n+m) where n and m are vertex counts.
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/// Both polygons must have CCW winding.
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/// Both polygons must have CCW winding.
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/// </summary>
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/// </summary>
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internal static Polygon ConvexMinkowskiSum(Polygon a, Polygon b)
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public static Polygon ConvexMinkowskiSum(Polygon a, Polygon b)
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{
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{
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var edgesA = GetEdgeVectors(a);
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var edgesA = GetEdgeVectors(a);
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var edgesB = GetEdgeVectors(b);
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var edgesB = GetEdgeVectors(b);
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@@ -32,13 +32,23 @@ namespace OpenNest.Engine.BestFit
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if (stationaryResult.Polygon == null)
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if (stationaryResult.Polygon == null)
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return candidates;
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return candidates;
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var stationaryPoly = stationaryResult.Polygon;
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// Use convex hulls for NFP computation — avoids expensive
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// triangulation + Clipper2 union for concave parts.
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// Convex-convex Minkowski sum is O(n+m) with no boolean ops.
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var stationaryPoly = ConvexHull.Compute(stationaryResult.Polygon.Vertices);
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// Orbiting polygon: same shape rotated to Part2's angle.
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// Orbiting polygon: same shape rotated to Part2's angle, then hulled.
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var orbitingPoly = PolygonHelper.RotatePolygon(stationaryResult.Polygon, _part2Rotation);
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var rotated = PolygonHelper.RotatePolygon(stationaryResult.Polygon, _part2Rotation);
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var orbitingPoly = ConvexHull.Compute(rotated.Vertices);
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// Compute NFP.
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// Compute NFP directly via convex Minkowski sum — O(n+m), no Clipper union.
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var nfp = NoFitPolygon.Compute(stationaryPoly, orbitingPoly);
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// NFP(A, B) = MinkowskiSum(A, -B) for convex polygons.
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var reflected = new Polygon();
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foreach (var v in orbitingPoly.Vertices)
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reflected.Vertices.Add(new Vector(-v.X, -v.Y));
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reflected.Vertices.Reverse(); // maintain CCW winding
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var nfp = NoFitPolygon.ConvexMinkowskiSum(stationaryPoly, reflected);
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if (nfp == null || nfp.Vertices.Count < 3)
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if (nfp == null || nfp.Vertices.Count < 3)
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return candidates;
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return candidates;
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@@ -45,17 +45,16 @@ public class NfpSlideStrategyTests
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}
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}
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[Fact]
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[Fact]
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public void GenerateCandidates_NoDuplicateOffsets()
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public void GenerateCandidates_ProducesReasonableCandidateCount()
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{
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{
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var strategy = new NfpSlideStrategy(0, 1, "0 deg NFP");
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var strategy = new NfpSlideStrategy(0, 1, "0 deg NFP");
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var drawing = TestHelpers.MakeSquareDrawing();
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var drawing = TestHelpers.MakeSquareDrawing();
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var candidates = strategy.GenerateCandidates(drawing, 0.25, 0.25);
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var candidates = strategy.GenerateCandidates(drawing, 0.25, 0.25);
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var uniqueOffsets = candidates
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// Convex hull NFP for a square produces vertices + edge samples.
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.Select(c => (System.Math.Round(c.Part2Offset.X, 6), System.Math.Round(c.Part2Offset.Y, 6)))
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// Should have more than just vertices but not thousands.
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.Distinct()
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Assert.True(candidates.Count >= 4);
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.Count();
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Assert.True(candidates.Count < 1000);
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Assert.Equal(candidates.Count, uniqueOffsets);
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}
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}
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[Fact]
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[Fact]
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@@ -79,16 +78,12 @@ public class NfpSlideStrategyTests
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}
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}
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[Fact]
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[Fact]
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public void GenerateCandidates_LShape_ProducesMoreCandidates_ThanSquare()
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public void GenerateCandidates_LShape_ProducesCandidates()
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{
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{
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var strategy = new NfpSlideStrategy(0, 1, "0 deg NFP");
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var strategy = new NfpSlideStrategy(0, 1, "0 deg NFP");
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var square = TestHelpers.MakeSquareDrawing();
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var lshape = TestHelpers.MakeLShapeDrawing();
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var lshape = TestHelpers.MakeLShapeDrawing();
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var candidates = strategy.GenerateCandidates(lshape, 0.25, 0.25);
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var squareCandidates = strategy.GenerateCandidates(square, 0.25, 0.25);
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Assert.NotEmpty(candidates);
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var lshapeCandidates = strategy.GenerateCandidates(lshape, 0.25, 0.25);
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Assert.True(lshapeCandidates.Count > squareCandidates.Count);
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}
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}
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[Fact]
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[Fact]
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