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Original file line number Diff line number Diff line change
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using System;
using System.Collections.Generic;
using System.Linq;
using System.Reactive.Linq;
using System.Threading;
using System.Threading.Tasks;

using FluentAssertions;
using Xunit;

namespace DynamicData.Tests.Cache;

public static partial class SuspendNotificationsFixture
{
public sealed class IntegrationTests
: IntegrationTestFixtureBase
{
[Fact]

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Any particular reason to move this?

public void ResumeDeliversPendingChangesWithoutHoldingTheLock()
{
// On resume, the changes accumulated while suspended must be delivered to
// subscribers WITHOUT the cache lock held. A subscriber that blocks mid-delivery
// must therefore not stall an unrelated, lock-requiring operation on another
// thread. If the lock were held during delivery, the concurrent operation would
// block for the full duration of the blocked subscriber.
//
// Dedicated threads are used (rather than the thread pool) so the test is immune
// to pool starvation when run alongside other test collections.
using var cache = new SourceCache<int, int>(static x => x);
using var deliveryStarted = new ManualResetEventSlim(false);
using var releaseDelivery = new ManualResetEventSlim(false);
using var concurrentOpDone = new ManualResetEventSlim(false);

// An active subscriber (connected before suspension) that blocks on its first delivery.
var blockOnce = true;
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using var slowSub = cache.Connect().Subscribe(_ =>
{
if (blockOnce)
{
blockOnce = false;
deliveryStarted.Set();
releaseDelivery.Wait(TimeSpan.FromSeconds(30));
}
});

var suspend = cache.SuspendNotifications();
cache.AddOrUpdate(Enumerable.Range(0, 10));

// Resume on a background thread: the accumulated changes are delivered to the
// slow subscriber, which blocks partway through.
var resumeThread = new Thread(suspend.Dispose) { IsBackground = true };
resumeThread.Start();
deliveryStarted.Wait(TimeSpan.FromSeconds(10)).Should().BeTrue("delivery of pending changes should have started");

// While delivery is blocked, a concurrent lock-requiring operation must complete
// promptly. It cannot if the delivery is happening under the cache lock. The
// distinguishing gap is large (milliseconds if the lock is free, ~30s if held),
// so a generous threshold stays reliable under cold-start JIT and heavy load.
var concurrentThread = new Thread(() =>
{
cache.SuspendNotifications().Dispose();
concurrentOpDone.Set();
}) { IsBackground = true };
concurrentThread.Start();

var completedWhileBlocked = concurrentOpDone.Wait(TimeSpan.FromSeconds(10));

releaseDelivery.Set();
resumeThread.Join(TimeSpan.FromSeconds(30)).Should().BeTrue("resume should complete");
concurrentThread.Join(TimeSpan.FromSeconds(30)).Should().BeTrue("concurrent operation should complete");

completedWhileBlocked.Should().BeTrue("a concurrent operation must not block while pending changes are delivered; the lock must not be held during delivery");
cache.Count.Should().Be(10, "all items should be present after resume");
}

[Fact]
public void StaleResumeSignalIsSuppressedByConcurrentReSuspend()
{
// Deterministic reproduction of the suspend/resume state-divergence race (#1131).
// Resume decrements the suspend count in one step and emits its resume signal in a
// later step. If a re-suspend slips in between, the resume signal must NOT fire:
// otherwise the suspended-notification subject would say "resumed" while the count
// says "suspended", and a connection made during the re-suspension would wrongly
// activate and receive data while notifications are suspended.
//
// The interleaving is forced deterministically: an active subscriber blocks the
// resume thread inside delivery, after the count has been decremented to zero but
// before the resume signal, giving the main thread a window to re-suspend and connect.
using var cache = new SourceCache<int, int>(static x => x);
var dataSet = Enumerable.Range(0, 50).ToList();

using var deliveryStarted = new ManualResetEventSlim(false);
using var releaseDelivery = new ManualResetEventSlim(false);

var blockOnce = true;
using var activeSub = cache.Connect().Subscribe(_ =>
{
if (blockOnce)
{
blockOnce = false;
deliveryStarted.Set();
releaseDelivery.Wait(TimeSpan.FromSeconds(30));
}
});

var suspend1 = cache.SuspendNotifications();
cache.AddOrUpdate(dataSet);

// Resume on a background thread: it decrements the count to zero and, while delivering
// the accumulated changes to the blocking subscriber, parks BEFORE the resume signal.
var resumeThread = new Thread(suspend1.Dispose) { IsBackground = true };
resumeThread.Start();
deliveryStarted.Wait(TimeSpan.FromSeconds(10)).Should().BeTrue("delivery should have started");

// The resume thread is parked after decrementing the count but before signalling
// resume. Re-suspend and connect a new subscriber while the count is transiently zero.
var suspend2 = cache.SuspendNotifications();
using var lateResults = cache.Connect().AsAggregator();

// Let the resume thread proceed to its now-stale resume signal.
releaseDelivery.Set();
resumeThread.Join(TimeSpan.FromSeconds(30)).Should().BeTrue("resume should complete");

// The late subscriber connected while re-suspended: it must NOT have activated,
// because notifications ARE suspended (suspend2 is active). The stale resume signal
// must be suppressed by re-checking the suspend count.
lateResults.Messages.Count.Should().Be(0, "a connection made during re-suspension must not activate on a stale resume signal");
lateResults.Data.Count.Should().Be(0, "no data should be delivered while suspended");

// Releasing the real suspension delivers the data normally.
suspend2.Dispose();
lateResults.Data.Count.Should().Be(dataSet.Count, "all data should arrive once truly resumed");
lateResults.Messages.Count.Should().Be(1, "a single changeset on the real resume");
}

[Fact]
public async Task ResumeSignalUnderLockPreventsStaleSnapshotFromReSuspend()
{
// Verifies that a deferred Connect subscriber never sees data written during
// a re-suspension. The resume signal fires under the lock (reentrant), so the
// deferred subscriber activates and takes its snapshot before any other thread
// can re-suspend or write new data.
//
// A slow first subscriber blocks delivery of accumulated changes, creating a
// window where the main thread re-suspends and writes a second batch. The
// deferred subscriber's snapshot must contain only the first batch.
using var cache = new SourceCache<int, int>(static x => x);
var dataSet1 = Enumerable.Range(0, 100).ToList();
var dataSet2 = Enumerable.Range(1000, 100).ToList();
var allData = dataSet1.Concat(dataSet2).ToList();

using var delivering = new SemaphoreSlim(0, 1);
using var proceedWithResuspend = new SemaphoreSlim(0, 1);

var suspend1 = cache.SuspendNotifications();
cache.AddOrUpdate(dataSet1);

// First subscriber blocks on delivery to hold the delivery thread
var firstDelivery = true;
using var slowSub = cache.Connect().Subscribe(_ =>
{
if (firstDelivery)
{
firstDelivery = false;
delivering.Release();
proceedWithResuspend.Wait(TimeSpan.FromSeconds(5));
}
});

// Deferred subscriber — will activate when resume signal fires
using var results = cache.Connect().AsAggregator();
results.Messages.Count.Should().Be(0, "no messages during suspension");

// Resume on background thread — delivery blocks on slow subscriber
var resumeTask = Task.Run(() => suspend1.Dispose());
(await delivering.WaitAsync(TimeSpan.FromSeconds(5))).Should().BeTrue("delivery should have started");

// Re-suspend and write second batch while delivery is blocked
var suspend2 = cache.SuspendNotifications();
cache.AddOrUpdate(dataSet2);

// dataSet2 must not appear in any message received so far
foreach (var msg in results.Messages)
{
foreach (var change in msg)
{
change.Key.Should().BeInRange(0, 99,
"deferred subscriber should only have first-batch keys before second resume");
}
}

// Unblock delivery
proceedWithResuspend.Release();
await resumeTask;

// Only dataSet1 should have been delivered — dataSet2 is held by second suspension
results.Summary.Overall.Adds.Should().Be(dataSet1.Count,
$"exactly {dataSet1.Count} adds before second resume — dataSet2 must be held by suspension");
results.Messages.Should().HaveCount(1, "exactly one message (snapshot of dataSet1)");
results.Messages[0].Adds.Should().Be(dataSet1.Count);
results.Messages[0].Select(c => c.Key).Should().Equal(dataSet1,
"snapshot should contain exactly first-batch keys in order");

// Resume second suspension — dataSet2 arrives now
suspend2.Dispose();

results.Summary.Overall.Adds.Should().Be(allData.Count, $"exactly {allData.Count} adds total");
results.Summary.Overall.Removes.Should().Be(0, "no removes");
results.Messages.Should().HaveCount(2, "two messages: snapshot + second batch");
results.Messages[1].Adds.Should().Be(dataSet2.Count);
results.Messages[1].Select(c => c.Key).Should().Equal(dataSet2,
"second message should contain exactly second-batch keys in order");
results.Data.Count.Should().Be(allData.Count);
results.Data.Keys.OrderBy(k => k).Should().Equal(allData);
results.Error.Should().BeNull();
results.IsCompleted.Should().BeFalse();
}

[Fact]
public async Task SuspensionsAreThreadSafe()
{
// Arrange
using var source = new SourceCache<int, int>(static x => x);
var results = source.Connect().AsAggregator();
var countChangeHistory = new List<int>();
using var countChangeSubscription = source.CountChanged.Do(countChangeHistory.Add).Subscribe();

// Act
using var suspend = source.SuspendNotifications();
var tasks = Enumerable.Range(1, 100).Select(x => Task.Run(() => source.AddOrUpdate(x))).ToArray();
await Task.WhenAll(tasks);

await Task.Run(suspend.Dispose);

// Assert
results.Data.Count.Should().Be(100, "Should receive data after resume");
results.Messages.Count.Should().Be(1, "Should receive single changeset on resume");
results.Messages[0].Adds.Should().Be(100, "Should have 100 adds");
}

[Fact]
public async Task ConcurrentSuspendDuringResumeDoesNotCorrupt()
{
// Stress test: races resume against re-suspend on two threads.
// Both orderings are correct (tested deterministically above).
// This test verifies no corruption, deadlocks, or data loss under contention.
const int iterations = 200;
var dataSet1 = Enumerable.Range(0, 100).ToList();
var dataSet2 = Enumerable.Range(1000, 100).ToList();
var allData = dataSet1.Concat(dataSet2).ToList();

for (var iter = 0; iter < iterations; iter++)
{
using var cache = new SourceCache<int, int>(static x => x);

var suspend1 = cache.SuspendNotifications();
cache.AddOrUpdate(dataSet1);
using var results = cache.Connect().AsAggregator();

using var barrier = new Barrier(2);
var resumeTask = Task.Run(() =>
{
barrier.SignalAndWait();
suspend1.Dispose();
});

var reSuspendTask = Task.Run(() =>
{
barrier.SignalAndWait();
return cache.SuspendNotifications();
});

await Task.WhenAll(resumeTask, reSuspendTask);
var suspend2 = await reSuspendTask;

cache.AddOrUpdate(dataSet2);
suspend2.Dispose();

results.Summary.Overall.Adds.Should().Be(allData.Count, $"iteration {iter}: exactly {allData.Count} adds");
results.Summary.Overall.Removes.Should().Be(0, $"iteration {iter}: no removes");
results.Summary.Overall.Updates.Should().Be(0, $"iteration {iter}: no updates because keys don't overlap");
results.Data.Count.Should().Be(allData.Count, $"iteration {iter}: {allData.Count} items in final state");
results.Data.Keys.OrderBy(k => k).Should().Equal(allData, $"iteration {iter}: all keys present in order");
results.Error.Should().BeNull($"iteration {iter}: no errors");
results.IsCompleted.Should().BeFalse($"iteration {iter}: not completed");
}
}
}
}

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