perf(fill): skip feature extraction without an angle model

This commit is contained in:
aj
2026-09-26 10:02:15 -04:00
parent d70505b7c0
commit 1e8e532063
9 changed files with 869 additions and 42 deletions
@@ -1,10 +1,13 @@
using OpenNest.Engine;
using OpenNest.Engine.Fill;
using OpenNest.Engine.ML;
using OpenNest.Geometry;
using OpenNest.Math;
namespace OpenNest.Tests.Fill;
// The Debug integration check uses process-wide PerfCounters.
[Collection(nameof(OpenNest.Tests.BestFit.FillCacheCollection))]
public class AngleCandidateBuilderTests
{
private static Drawing MakeRectDrawing(double w, double h)
@@ -23,6 +26,387 @@ public class AngleCandidateBuilderTests
PartType type = PartType.Irregular
) => new ClassificationResult { PrimaryAngle = primaryAngle, Type = type };
[Theory]
[InlineData(PartType.Circle)]
[InlineData(PartType.Rectangle)]
public void Characterization_ClassifiedParts_PreserveExactBaseAngleOrder(PartType type)
{
var builder = new AngleCandidateBuilder();
var item = new NestItem { Drawing = MakeRectDrawing(20, 10) };
var primary = Angle.ToRadians(7);
var angles = builder.Build(item, MakeClassification(primary, type), new Box(0, 0, 100, 50));
var expected = type == PartType.Circle ? new[] { 0.0 } : new[] { primary, primary + Angle.HalfPI };
Assert.Equal(expected, angles);
}
[Theory]
[InlineData(PartType.Circle)]
[InlineData(PartType.Rectangle)]
[InlineData(PartType.Irregular)]
public void Characterization_Constraints_OverrideEveryClassification(PartType type)
{
var builder = new AngleCandidateBuilder();
var item = new NestItem
{
Drawing = MakeRectDrawing(20, 10),
RotationStart = 0,
RotationEnd = Angle.HalfPI,
StepAngle = Angle.ToRadians(30),
};
var angles = builder.Build(item, MakeClassification(0.1, type), new Box(0, 0, 100, 50));
AssertAngleOrder(new[] { 0.0, 30, 60, 90 }.Select(Angle.ToRadians), angles);
}
[Theory]
[InlineData(0)]
[InlineData(-1)]
public void Characterization_NonpositiveConstraintStep_UsesFiveDegrees(double step)
{
var builder = new AngleCandidateBuilder();
var item = new NestItem
{
Drawing = MakeRectDrawing(20, 10),
RotationStart = Angle.ToRadians(10),
RotationEnd = Angle.ToRadians(20),
StepAngle = step,
};
var angles = builder.Build(item, MakeClassification(), new Box(0, 0, 100, 50));
AssertAngleOrder(new[] { 10.0, 15, 20 }.Select(Angle.ToRadians), angles);
}
[Fact]
public void Characterization_ReversedConstraints_FallBackToStart()
{
var builder = new AngleCandidateBuilder();
var item = new NestItem
{
Drawing = MakeRectDrawing(20, 10),
RotationStart = Angle.ToRadians(40),
RotationEnd = Angle.ToRadians(10),
};
var angles = builder.Build(item, MakeClassification(), new Box(0, 0, 100, 50));
Assert.Equal(new[] { item.RotationStart }, angles);
}
[Fact]
public void Characterization_KnownGoodAngles_PreserveBaseOrderAndPruning()
{
var builder = new AngleCandidateBuilder();
builder.RecordProductive(new List<AngleResult>
{
new() { AngleDeg = 0, PartCount = 1 },
new() { AngleDeg = 45, PartCount = 2 },
new() { AngleDeg = 45, PartCount = 3 },
new() { AngleDeg = 97, PartCount = 1 },
new() { AngleDeg = 65, PartCount = 0 },
new() { AngleDeg = 120, PartCount = -1 },
});
var item = new NestItem { Drawing = MakeRectDrawing(20, 10) };
var angles = builder.Build(item, MakeClassification(Angle.ToRadians(7)), new Box(0, 0, 100, 50));
AssertAngleOrder(new[] { 7.0, 97, 0, 45 }.Select(Angle.ToRadians), angles);
}
private static void AssertAngleOrder(IEnumerable<double> expected, List<double> actual)
{
var values = expected.ToArray();
Assert.Equal(values.Length, actual.Count);
for (var i = 0; i < values.Length; i++)
Assert.Equal(values[i], actual[i], precision: 12);
}
// These delegates are deterministic control-flow doubles, not ONNX accuracy evidence.
private sealed class PredictionCalls
{
public bool Available { get; set; } = true;
public PartFeatures? Features { get; set; } = new();
public List<double>? Prediction { get; set; }
public List<string> Calls { get; } = new();
public Drawing? ExtractedDrawing { get; private set; }
public bool? IncludeBitmask { get; private set; }
public PartFeatures? PredictedFeatures { get; private set; }
public double SheetWidth { get; private set; }
public double SheetHeight { get; private set; }
public AngleCandidateBuilder CreateBuilder() => new(
() =>
{
Calls.Add("available");
return Available;
},
(drawing, includeBitmask) =>
{
Calls.Add("extract");
ExtractedDrawing = drawing;
IncludeBitmask = includeBitmask;
return Features!;
},
(features, width, height) =>
{
Calls.Add("predict");
PredictedFeatures = features;
SheetWidth = width;
SheetHeight = height;
return Prediction!;
});
}
// The existing repeated-add sweep includes a final value just below PI (near 180°).
// Preserve it: replacing the loop with 36 integer-indexed samples changes behavior.
private static IEnumerable<double> FallbackAngles() =>
new[] { 7.0, 97 }.Concat(Enumerable.Range(0, 37).Select(i => i * 5.0)).Select(Angle.ToRadians);
[Fact]
public void Build_Unavailable_SkipsExtractionAndPrediction_PreservesFallbackOrder()
{
var calls = new PredictionCalls { Available = false };
var builder = calls.CreateBuilder();
var item = new NestItem { Drawing = MakeRectDrawing(20, 10) };
var angles = builder.Build(item, MakeClassification(Angle.ToRadians(7)), new Box(0, 0, 100, 50));
Assert.Equal(new[] { "available" }, calls.Calls);
AssertAngleOrder(FallbackAngles(), angles);
}
[Fact]
public void Build_Available_ExtractsScalarsOnce_ThenForwardsFeaturesAndWorkAreaDimensions()
{
var calls = new PredictionCalls();
var builder = calls.CreateBuilder();
var item = new NestItem { Drawing = MakeRectDrawing(20, 10) };
var workArea = new Box(3, 5, 123, 47);
var angles = builder.Build(item, MakeClassification(Angle.ToRadians(7)), workArea);
Assert.Equal(new[] { "available", "extract", "predict" }, calls.Calls);
Assert.Same(item.Drawing, calls.ExtractedDrawing);
Assert.Equal(false, calls.IncludeBitmask);
Assert.Same(calls.Features, calls.PredictedFeatures);
// Box.Width is Y and Box.Length is X; preserve this existing argument order.
Assert.Equal(47, calls.SheetWidth);
Assert.Equal(123, calls.SheetHeight);
AssertAngleOrder(FallbackAngles(), angles);
}
[Fact]
public void Build_NullFeatures_SkipsPrediction_PreservesFallbackOrder()
{
var calls = new PredictionCalls { Features = null };
var builder = calls.CreateBuilder();
var item = new NestItem { Drawing = MakeRectDrawing(20, 10) };
var angles = builder.Build(item, MakeClassification(Angle.ToRadians(7)), new Box(0, 0, 100, 50));
Assert.Equal(new[] { "available", "extract" }, calls.Calls);
Assert.Equal(false, calls.IncludeBitmask);
AssertAngleOrder(FallbackAngles(), angles);
}
[Theory]
[InlineData(false)]
[InlineData(true)]
public void Build_NullOrEmptyPrediction_PreservesFallbackOrder(bool empty)
{
var calls = new PredictionCalls { Prediction = empty ? new List<double>() : null };
var builder = calls.CreateBuilder();
var item = new NestItem { Drawing = MakeRectDrawing(20, 10) };
var angles = builder.Build(item, MakeClassification(Angle.ToRadians(7)), new Box(0, 0, 100, 50));
Assert.Equal(new[] { "available", "extract", "predict" }, calls.Calls);
AssertAngleOrder(FallbackAngles(), angles);
if (empty)
{
Assert.Empty(calls.Prediction!);
Assert.NotSame(calls.Prediction, angles);
}
}
[Fact]
public void Build_NonemptyPrediction_PreservesPredictionThenBaseThenSweepOrder()
{
var predicted = new[] { 42.0, 0, 97 }.Select(Angle.ToRadians).ToList();
var original = predicted.ToArray();
var calls = new PredictionCalls { Prediction = predicted };
var builder = calls.CreateBuilder();
var item = new NestItem { Drawing = MakeRectDrawing(20, 10) };
var angles = builder.Build(item, MakeClassification(Angle.ToRadians(7)), new Box(0, 0, 100, 50));
var expected = new[] { 42.0, 0, 97, 7 }
.Concat(Enumerable.Range(1, 36).Select(i => i * 5.0))
.Select(Angle.ToRadians);
AssertAngleOrder(expected, angles);
Assert.Equal(original, predicted);
Assert.NotSame(predicted, angles);
Assert.Equal(new[] { "available", "extract", "predict" }, calls.Calls);
}
[Fact]
public void Build_DuplicatePrediction_KeepsPredictionDuplicates_ButDeduplicatesAddedAnglesByTolerance()
{
var primary = Angle.ToRadians(7);
var predicted = new List<double>
{
Angle.ToRadians(42), Angle.ToRadians(42), primary + Tolerance.Epsilon / 2, Angle.HalfPI,
};
var original = predicted.ToArray();
var calls = new PredictionCalls { Prediction = predicted };
var builder = calls.CreateBuilder();
var item = new NestItem { Drawing = MakeRectDrawing(20, 10) };
var angles = builder.Build(item, MakeClassification(primary), new Box(0, 0, 100, 50));
// Existing behavior preserves the prediction prefix verbatim, even duplicates.
var expected = original.Concat(new[] { primary + Angle.HalfPI })
.Concat(Enumerable.Range(0, 37).Where(i => i != 18).Select(i => Angle.ToRadians(i * 5)));
AssertAngleOrder(expected, angles);
Assert.Equal(original, angles.Take(original.Length));
Assert.Equal(original, predicted);
Assert.NotSame(predicted, angles);
}
[Fact]
public void Build_Unavailable_WithCardinalBase_DeduplicatesSweepWithoutReordering()
{
var calls = new PredictionCalls { Available = false };
var item = new NestItem { Drawing = MakeRectDrawing(20, 10) };
var angles = calls.CreateBuilder().Build(item, MakeClassification(), new Box(0, 0, 100, 50));
var expected = new[] { 0.0, 90 }
.Concat(Enumerable.Range(1, 36).Where(i => i != 18).Select(i => i * 5.0))
.Select(Angle.ToRadians);
AssertAngleOrder(expected, angles);
Assert.Equal(new[] { "available" }, calls.Calls);
}
[Theory]
[InlineData("circle")]
[InlineData("rectangle")]
[InlineData("constraints-circle")]
[InlineData("constraints-rectangle")]
[InlineData("constraints-irregular")]
[InlineData("known-good")]
public void Build_BypassBranches_DoNotCheckAvailabilityOrExtractOrPredict(string branch)
{
var calls = new PredictionCalls();
var builder = calls.CreateBuilder();
var item = new NestItem { Drawing = MakeRectDrawing(20, 10) };
var classification = MakeClassification(Angle.ToRadians(7));
var expected = new[] { 7.0, 97, 45 };
if (branch.EndsWith("circle"))
{
classification.Type = PartType.Circle;
expected = new[] { 0.0 };
}
else if (branch.EndsWith("rectangle"))
{
classification.Type = PartType.Rectangle;
expected = new[] { 7.0, 97 };
}
if (branch.StartsWith("constraints-"))
{
item.RotationStart = Angle.ToRadians(10);
item.RotationEnd = Angle.ToRadians(20);
item.StepAngle = 0;
expected = new[] { 10.0, 15, 20 };
}
if (branch == "known-good")
builder.RecordProductive(new List<AngleResult> { new() { AngleDeg = 45, PartCount = 1 } });
var angles = builder.Build(item, classification, new Box(0, 0, 100, 50));
Assert.Empty(calls.Calls);
AssertAngleOrder(expected.Select(Angle.ToRadians), angles);
}
[Theory]
[InlineData(false)]
[InlineData(true)]
public void Build_ForceFullSweep_IgnoresKnownGoodPruning_AndStillHonorsAvailability(bool available)
{
var calls = new PredictionCalls { Available = available };
var builder = calls.CreateBuilder();
builder.ForceFullSweep = true;
builder.RecordProductive(new List<AngleResult> { new() { AngleDeg = 45, PartCount = 1 } });
var item = new NestItem { Drawing = MakeRectDrawing(20, 10) };
var angles = builder.Build(item, MakeClassification(Angle.ToRadians(7)), new Box(0, 0, 100, 50));
AssertAngleOrder(FallbackAngles(), angles);
Assert.Equal(available ? new[] { "available", "extract", "predict" } : new[] { "available" }, calls.Calls);
}
[Fact]
public void Build_OnlyNonproductiveAngles_DoNotPruneOrBypassAvailability()
{
var calls = new PredictionCalls { Available = false };
var builder = calls.CreateBuilder();
builder.RecordProductive(new List<AngleResult>
{
new() { AngleDeg = 45, PartCount = 0 },
new() { AngleDeg = 60, PartCount = -1 },
});
var item = new NestItem { Drawing = MakeRectDrawing(20, 10) };
var angles = builder.Build(item, MakeClassification(Angle.ToRadians(7)), new Box(0, 0, 100, 50));
AssertAngleOrder(FallbackAngles(), angles);
Assert.Equal(new[] { "available" }, calls.Calls);
}
#if DEBUG
[Fact]
public void Build_Available_RealExtraction_DoesNotScanBitmaskCells()
{
var extractionCalls = 0;
var predictionCalls = 0;
var predictedFeatures = (PartFeatures?)null;
var builder = new AngleCandidateBuilder(
() => true,
(drawing, includeBitmask) =>
{
extractionCalls++;
return FeatureExtractor.Extract(drawing, includeBitmask);
},
(features, width, height) =>
{
predictionCalls++;
predictedFeatures = features;
return null!;
});
var item = new NestItem { Drawing = MakeRectDrawing(20, 10) };
PerfCounters.Reset();
try
{
var angles = builder.Build(item, MakeClassification(Angle.ToRadians(7)), new Box(0, 0, 100, 50));
Assert.Equal(1, extractionCalls);
Assert.Equal(1, predictionCalls);
Assert.Equal(0, PerfCounters.FeatureBitmaskCells);
Assert.NotNull(predictedFeatures);
Assert.Null(predictedFeatures.Bitmask);
AssertAngleOrder(FallbackAngles(), angles);
}
finally
{
PerfCounters.Reset();
}
}
#endif
[Fact]
public void Build_ReturnsAtLeastTwoAngles()
{
@@ -342,6 +342,90 @@ public class FillPerformanceTests
ReportFeatureSummary("scalar-only", samples.Select(s => s.Scalar).ToArray(), callsPerBatch);
}
[SkippableFact]
public void IrregularAngles_ReportsWarmNoModelPath()
{
Skip.IfNot(Environment.GetEnvironmentVariable("OPENNEST_RUN_FILL_PERF") == "1",
"Set OPENNEST_RUN_FILL_PERF=1 to run opt-in fill microbenchmarks.");
// Never move/delete a user's model to obtain a no-model measurement.
var modelPath = Path.Combine(
Path.GetDirectoryName(typeof(OpenNest.Engine.ML.AnglePredictor).Assembly.Location)!,
"Models", "angle_predictor.onnx");
Skip.If(File.Exists(modelPath), "No-model measurement requires an output directory without an angle model.");
Assert.Null(OpenNest.Engine.ML.AnglePredictor.PredictAngles(new OpenNest.Engine.ML.PartFeatures(), 80, 120));
var program = new OpenNest.CNC.Program();
program.Codes.Add(new OpenNest.CNC.RapidMove(new Vector(0, 0)));
foreach (var point in new[] { new Vector(20, 0), new Vector(20, 6), new Vector(8, 6),
new Vector(8, 14), new Vector(0, 14), new Vector(0, 0) })
program.Codes.Add(new OpenNest.CNC.LinearMove(point));
var item = new NestItem { Drawing = new Drawing("performance-L", program) };
var workArea = new Box(3, 5, 120, 80);
var classification = new ClassificationResult { Type = PartType.Irregular, PrimaryAngle = 0.13 };
var builder = new AngleCandidateBuilder { ForceFullSweep = true };
var build = new Func<List<double>>(() => builder.Build(item, classification, workArea));
// Independent pre-4b fallback expression; exact ordered equality, not only count.
var expected = new List<double> { classification.PrimaryAngle, classification.PrimaryAngle + OpenNest.Math.Angle.HalfPI };
for (var angle = 0.0; angle < System.Math.PI; angle += OpenNest.Math.Angle.ToRadians(5))
{
if (!expected.Any(existing => OpenNest.Math.Tolerance.IsEqualTo(existing, angle)))
expected.Add(angle);
}
Assert.Equal(expected, build());
var warmupCalls = 20_000;
var callsPerBatch = 20_000;
var repetitions = 7;
#if DEBUG
output.WriteLine("Configuration=Debug (diagnostic only; use Release for measurements).");
#else
output.WriteLine("Configuration=Release.");
#endif
output.WriteLine($"Runtime={RuntimeInformation.FrameworkDescription}; OS={RuntimeInformation.OSDescription}; "
+ $"architecture={RuntimeInformation.ProcessArchitecture}; processors={Environment.ProcessorCount}; "
+ $"Stopwatch.Frequency={Stopwatch.Frequency} ticks/s.");
output.WriteLine("no-model angles: concave L (0,0)-(20,0)-(20,6)-(8,6)-(8,14)-(0,14), "
+ "primary=0.13 rad, workArea=(3,5,120,80), ForceFullSweep=true; public production builder, no delegates replaced. "
+ $"Initialization completed outside timing; warmup=2 x {warmupCalls}, measured={repetitions} x {callsPerBatch}. "
+ "Synchronous current-thread allocations; construction/assertions/output excluded, loop/result consumption included. "
+ "Warm missing-model branch only, not ONNX inference, cold-start latency, or whole-job speedup.");
for (var batch = 0; batch < 2; batch++)
MeasureAngles(build, warmupCalls);
var samples = new AngleSample[repetitions];
for (var batch = 0; batch < repetitions; batch++)
{
var sample = samples[batch] = MeasureAngles(build, callsPerBatch);
Assert.Equal((long)expected.Count * callsPerBatch, sample.AngleCount);
Assert.Equal(expected, sample.LastResult);
output.WriteLine(FormattableString.Invariant(
$"no-model-angles batch={batch + 1}: ms={sample.Milliseconds:F6} bytes={sample.AllocatedBytes}."));
}
var times = samples.Select(s => s.Milliseconds).OrderBy(t => t).ToArray();
var bytes = samples.Select(s => s.AllocatedBytes).OrderBy(b => b).ToArray();
var median = repetitions / 2;
output.WriteLine(FormattableString.Invariant(
$"no-model-angles: batch ms min/median/max={times[0]:F6}/{times[median]:F6}/{times[^1]:F6}; us/call min/median/max={times[0] * 1000 / callsPerBatch:F3}/{times[median] * 1000 / callsPerBatch:F3}/{times[^1] * 1000 / callsPerBatch:F3}; B/call min/median/max={(double)bytes[0] / callsPerBatch:F3}/{(double)bytes[median] / callsPerBatch:F3}/{(double)bytes[^1] / callsPerBatch:F3}."));
}
private static AngleSample MeasureAngles(Func<List<double>> build, int calls)
{
var count = 0L;
var last = new List<double>();
var allocatedBefore = GC.GetAllocatedBytesForCurrentThread();
var start = Stopwatch.GetTimestamp();
for (var i = 0; i < calls; i++)
{
last = build();
count += last.Count;
}
var elapsed = Stopwatch.GetTimestamp() - start;
var allocated = GC.GetAllocatedBytesForCurrentThread() - allocatedBefore;
return new AngleSample(elapsed * 1000.0 / Stopwatch.Frequency, allocated, count, last);
}
private readonly record struct AngleSample(double Milliseconds, long AllocatedBytes,
long AngleCount, List<double> LastResult);
private const int BitmaskCells = 32 * 32;
private static FeatureSample MeasureFeature(Func<OpenNest.Engine.ML.PartFeatures> extract, int calls)
+180
View File
@@ -0,0 +1,180 @@
using OpenNest.Engine.ML;
namespace OpenNest.Tests.ML;
// The generic loader is the production session publication path. Reference objects
// isolate its lifetime/concurrency contract; they are not ONNX models or accuracy evidence.
public class AnglePredictorTests
{
[Fact]
public void PredictAngles_DefaultThreshold_RemainsPointThree()
{
var method = typeof(AnglePredictor).GetMethod(nameof(AnglePredictor.PredictAngles));
Assert.NotNull(method);
var threshold = method.GetParameters().Single(parameter => parameter.Name == "threshold");
Assert.True(threshold.HasDefaultValue);
Assert.Equal(0.3, threshold.DefaultValue);
}
[Fact]
public void SessionLoader_Success_IsLazyAndReusesSameSessionWithoutReload()
{
var attempts = 0;
var session = new object();
var loader = new SingleAttemptLoader<object>(() =>
{
attempts++;
return session;
});
Assert.Equal(0, attempts);
for (var i = 0; i < 5; i++)
Assert.Same(session, loader.GetValue());
Assert.Equal(1, attempts);
}
[Fact]
public void SessionLoader_MissingModel_RemainsUnavailableWithoutRetry()
{
var attempts = 0;
var modelPresent = false;
var session = new object();
var loader = new SingleAttemptLoader<object>(() =>
{
attempts++;
return modelPresent ? session : null!;
});
Assert.Null(loader.GetValue());
modelPresent = true; // Even a subsequently available resource must not trigger a reload.
for (var i = 0; i < 5; i++)
Assert.Null(loader.GetValue());
Assert.Equal(1, attempts);
}
[Fact]
public void SessionLoader_ThrowingLoad_RemainsUnavailableWithoutRetry()
{
var attempts = 0;
var loadFails = true;
var loader = new SingleAttemptLoader<object>(() =>
{
attempts++;
if (loadFails)
throw new InvalidDataException("Controlled model-load failure.");
return new object();
});
Assert.Null(loader.GetValue());
loadFails = false;
for (var i = 0; i < 5; i++)
Assert.Null(loader.GetValue());
Assert.Equal(1, attempts);
}
[Fact]
public void SessionLoaders_AreIndependent_NoGlobalTestSwitchesOrSharedFailures()
{
var session = new object();
var unavailable = new SingleAttemptLoader<object>(() => null!);
var available = new SingleAttemptLoader<object>(() => session);
Assert.Null(unavailable.GetValue());
Assert.Same(session, available.GetValue());
Assert.Null(unavailable.GetValue());
}
[Theory]
[InlineData("available")]
[InlineData("missing")]
[InlineData("throwing")]
public void SessionLoader_ConcurrentReaders_WaitForDefinitiveAvailability(string outcome)
{
using var loadEntered = new ManualResetEventSlim();
using var releaseLoad = new ManualResetEventSlim();
var readerEntered = 0;
var readerCompleted = 0;
var timeout = TimeSpan.FromSeconds(10);
var attempts = 0;
var session = new object();
var results = new object?[2];
var errors = new Exception?[2];
var loader = new SingleAttemptLoader<object>(() =>
{
Interlocked.Increment(ref attempts);
loadEntered.Set();
releaseLoad.Wait();
return outcome switch
{
"available" => session,
"missing" => null!,
_ => throw new InvalidDataException("Controlled model-load failure."),
};
});
var readSession = (int index) =>
{
try
{
results[index] = loader.GetValue();
}
catch (Exception ex)
{
errors[index] = ex;
}
};
var initializer = new Thread(() => readSession(0)) { IsBackground = true };
var reader = new Thread(() =>
{
Volatile.Write(ref readerEntered, 1);
try
{
readSession(1);
}
finally
{
Volatile.Write(ref readerCompleted, 1);
}
})
{ IsBackground = true };
try
{
initializer.Start();
Assert.True(loadEntered.Wait(timeout), "The first caller did not enter the loader.");
reader.Start();
Assert.True(SpinWait.SpinUntil(() => Volatile.Read(ref readerEntered) == 1, timeout),
"The concurrent reader did not start.");
// Observe an actual blocked reader, not just a Task that may not have run yet.
// The timeout only bounds a broken test; this is not a latency assertion.
Assert.True(SpinWait.SpinUntil(
() => Volatile.Read(ref readerCompleted) == 1 || (reader.ThreadState & ThreadState.WaitSleepJoin) != 0,
timeout), "The reader neither waited nor completed.");
Assert.False(Volatile.Read(ref readerCompleted) == 1,
"Availability was published before the blocked load had a definitive result.");
Assert.Equal(1, Volatile.Read(ref attempts));
}
finally
{
releaseLoad.Set();
if ((initializer.ThreadState & ThreadState.Unstarted) == 0)
Assert.True(initializer.Join(timeout), "The initializing caller did not terminate.");
if ((reader.ThreadState & ThreadState.Unstarted) == 0)
Assert.True(reader.Join(timeout), "The concurrent reader did not terminate.");
}
Assert.All(errors, error => Assert.Null(error));
if (outcome == "available")
{
Assert.All(results, result => Assert.Same(session, result));
Assert.Same(session, loader.GetValue());
}
else
{
Assert.All(results, result => Assert.Null(result));
Assert.Null(loader.GetValue());
}
Assert.Equal(1, attempts);
}
}