fix(optimizers): honour options.seed, delete the duplicated options copy, and gate both - #2055
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Seed is on the shared options and OptimizerBase.CreateSearchRandom documents the
contract: "a run is a random variable. One that cannot be repeated cannot be debugged."
The function-minimisation overloads keep it. Optimize(inputData) did not, because three
generators on that path were built without ever consulting the seed.
OptimizerBase ran
_model = model;
Random = new();
NumOps = ...;
Options = options ?? new ...;
so the shared generator was constructed on the line ABOVE the Options assignment. It
could not have read a seed even had it tried, and RandomlySelectFeatures and
InitializeRandomSolution both draw from it. Reordered so Options is assigned first and
the generator derives from Options.Seed, via RandomHelper as the coding standard
requires rather than a bare new Random().
The candidate-perturbation loop in BuildDataDerivedRandomParameters created its own
CreateSecureRandom(). It now draws from the shared generator, since that perturbation
decides the parameters every candidate starts from.
ParticleSwarmOptimizer built its own field with CreateSecureRandom() in both
constructors, ignoring the seed outright; velocity initialisation and the cognitive and
social draws all come from it. Both constructors now derive it from the options, and
UpdateOptions refreshes it, because a generator still running on the previous seed would
contradict the options the optimizer reports. The field loses readonly for that reason.
DifferentialEvolutionOptimizer needed nothing - it already takes CreateSearchRandom.
Two tests, both failing before this change and passing after. The narrow one asserts the
generators directly and is the honest statement of what changed; without the fix it
reports
Expected: Tuple (2072998746, 0.30262624952133105)
Actual: Tuple (493046785, 0.83774535955756224)
from two constructions with the SAME seed. The broader one asserts a same-seed
Optimize(inputData) returns the same BestFitnessScore, which is the behaviour callers
actually want. Equality rather than a tolerance is deliberate: a seed either determines
the run or it does not.
Verified: 1690 of 1690 optimizer tests pass, so seeding the shared generator regresses
nothing across the other optimizers that inherit it.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01U1HFtoj81avXvuLebTpWyk
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Walkthrough
ChangesSeeded optimizer randomness
Estimated code review effort: 4 (Complex) | ~60 minutes Merge Risk: 🟡 Moderate · up to The PR centralizes seeded randomness and option restoration across the optimizer hierarchy, but merge readiness still needs owner follow-up: restored configuration may not trigger required reconfiguration, the new tests do not verify concrete restored option values, and certain default or failed-restore paths can leave inconsistent live state. Suggested reviewers: Poem
🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
Full details: Title checkExplanation The title clearly identifies the main optimizer changes: honoring ✨ Finishing Touches📝 Generate docstrings
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Inline comments:
In `@src/Optimizers/ParticleSwarmOptimizer.cs`:
- Line 299: Update the base optimizer state through a protected method that
replaces both OptimizerBase.Options and its shared Random generator, then call
it in UpdateOptions before assigning _psoOptions. Add a deserialize test
covering construction with seed A and restoration with seed B, verifying both
generators use seed B and restored base settings are applied.
In
`@tests/AiDotNet.Tests/IntegrationTests/Optimizers/MetaheuristicOptimizerIntegrationTests.cs`:
- Around line 257-261: Update the XML remarks above the test to describe the
actual regression contract: it invokes Optimize twice with the same seed and
input and requires identical BestFitnessScore results. Remove the inaccurate
statements claiming the test only checks generators or that Optimize is not
reproducible.
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…r optimizer Addresses both review findings, and takes the fix to the level it belonged at. Deriving one class's generator from the seed was the wrong shape. A survey of all 60 files under src/Optimizers found the same private-generator pattern in SimulatedAnnealingOptimizer, which would have kept the defect after a particle-swarm-only fix, and nothing stops the next optimizer from adding another. So both private generators are deleted and both classes now draw from the seeded Random that OptimizerBase already owns. There is no longer a per-optimizer generator to forget to seed. OptimizationDataBatcher was the only other hit and already seeds correctly. That also dissolves the first review finding rather than patching it. UpdateOptions no longer rebuilds anything, because the class holds nothing to rebuild. The second half of that finding was real and is fixed at the same single point: Deserialize handed restored options to UpdateOptions while the base kept its constructor values, so a restored optimizer reported one seed and drew from another. The base now adopts the restored options before handing them on, which fixes it for every optimizer at once. Deliberately narrow - the collaborators cached at construction (FitDetector, FitnessCalculator, the statistics options) are left alone, since replacing live collaborators mid-lifetime is a separate concern from reproducibility. The second finding was correct and the remarks were stale: they claimed Optimize(inputData) was not reproducible and that the test only inspected generators. Both were written while a sync test carrying Fact(Timeout) was failing with "Tests marked with Timeout are only supported for async tests" - an infrastructure error I read as an assertion failure. The tests are async with Task.Yield now, the Timeout guard works, and the remarks describe what is actually asserted. Tests follow the same move: the generator test covers particle swarm AND simulated annealing, because the contract is the base class's rather than either optimizer's. Verified: 1691 of 1691 optimizer tests pass. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01U1HFtoj81avXvuLebTpWyk
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Inline comments:
In `@src/Optimizers/OptimizerBase.cs`:
- Around line 339-340: Update AdoptRestoredOptions so every option-derived
collaborator—PredictionOptions, ModelStatsOptions, FitDetector,
FitnessCalculator, and ModelCache—adopts the restored options together with
Options and Random, preventing mixed source/destination configuration during
evaluation. Preserve atomic replacement semantics, and add a deserialization
test using different evaluator or prediction-statistics settings between source
and destination optimizers.
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…ze clobbering collaborators The review was right that adopting Options and Random while leaving PredictionOptions, ModelStatsOptions, FitDetector, FitnessCalculator and ModelCache on their constructor values is a torn state. Adopting them literally, however, is worse - and the difference is measurable. Interface-typed properties carry no type information through the options JSON, so Newtonsoft rebuilds each as its property initializer's default. Measured: an optimizer configured with MeanSquaredErrorFitnessCalculator serializes, and the payload comes back holding RSquaredFitnessCalculator, the default. Adopting the payload's collaborators would therefore swap a caller's evaluator, fit detector and cache for defaults on every deserialize - silently, and on a path whose entire purpose is to restore configuration. An earlier probe of mine looked like they round-tripped; they did not. Both sides simply held the default, so "non-null" read as "restored". So the restored payload contributes its VALUES, and the live collaborators are carried onto it before adoption. Options and the cached fields then agree, which is the property the review actually asked for, without a deserialize quietly replacing configuration. Adoption itself is now one method. ApplyOptions defines how an option set becomes state and is the only thing that does; the constructor and Deserialize both route through it, so they cannot drift and a future option-derived field is restored for free by being added there. Declared with MemberNotNull rather than a null-forgiving operator, which the coding standard forbids and which several call sites in this repo already model. Verified: 1692 of 1692 optimizer tests pass; src builds clean on net10.0, net8.0 and net471, so MemberNotNull holds on the framework target too. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01U1HFtoj81avXvuLebTpWyk
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Inline comments:
In
`@tests/AiDotNet.Tests/IntegrationTests/Optimizers/MetaheuristicOptimizerIntegrationTests.cs`:
- Around line 401-403: Strengthen the Deserialize test around restored by using
distinguishable live instances from the serialized payload defaults, then
capture the original FitnessCalculator, FitDetector, and ModelCache references
before deserialization. After Deserialize, assert reference identity for each
collaborator both through GetOptions() and the corresponding base fields,
ensuring the live instances are preserved rather than replaced by payload
fallbacks.
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…rror
A fix that has to be remembered is a fix that comes back. Two optimizers had already
built private generators that no seed could reach, and nothing stopped a third. AIDN077
closes the class rather than the instances.
Inside any type deriving from OptimizerBase, both spellings are refused:
new Random(...)
RandomHelper.CreateSecureRandom() / CreateSeededRandom(...)
because the base already exposes a Random derived from Options.Seed and re-derives it
when options are restored. OptimizerBase itself is exempt - it is the one type that must
build the generator, and where the seed is honoured for everything below it.
This is a HARD gate, unlike its neighbours. TreatWarningsAsErrors is on and AIDN070
through AIDN076 are each listed in WarningsNotAsErrors, because existing code violates
them and they are being paid down gradually. AIDN077 has zero violations the moment it
lands, so it is deliberately NOT added to that list and fails the build from day one.
Grandfathering it would have meant shipping a rule that never bites.
Proven by reintroducing the exact defect it exists to stop:
error AIDN077: 'RandomHelper.CreateSecureRandom()' creates a generator of its own;
draw from the inherited OptimizerBase.Random, which is built from Options.Seed
error AIDN077: 'new Random(...)' creates a generator of its own; ...
Errors, not warnings, and the build exits nonzero. With the defect removed the same
build is clean on net10.0, net8.0 and net471, which also shows OptimizerBase's own
exemption works rather than merely being written down.
Registered in AnalyzerReleases.Unshipped.md. The category there must match the
descriptor's Category constant exactly - AiDotNet.GoldenPattern, singular - or the
release tracker reports RS2001 against a rule that is otherwise fine.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01U1HFtoj81avXvuLebTpWyk
…not the initial one Chasing whether the 42 optimizers overriding UpdateOptions leave option-derived state stale, this looked like a defect: the constructor seeds _currentInertia and its siblings from Initial* on the options, and no UpdateOptions override re-runs InitializeAdaptiveParameters, so a restored optimizer reads like it keeps the configuration it was BUILT with. It does not. Measured across a deserialize, driving the source's live value away from its initial one first: BEFORE cur=0.91 opt=0.91 | AFTER cur=0.137 opt=0.42 | SRC cur=0.137 opt=0.42 The state layer carries the live values, so a mid-run optimizer serialized at inertia 0.137 comes back at 0.137 rather than at either side's Initial*. There is no staleness to fix. Which makes the obvious "fix" harmful. Calling ResetAdaptiveParameters() from Deserialize overwrites restored state, silently rewinding a resumed optimizer to the start of its schedule - and I had written exactly that before measuring. This test refuses it: against that implementation it fails with Expected: 0.13700000000000001 Actual: 0.41999999999999998 and passes against the current one. The distinction only appears when the live value is driven away from the initial value, which is why the test sets it explicitly instead of trusting a short run to diverge - an earlier attempt that skipped that step passed under both implementations and proved nothing. No production change. 379 optimizer tests pass. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01U1HFtoj81avXvuLebTpWyk
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Inline comments:
In `@src/AiDotNet.Generators/GoldenPatternValidationGenerator.cs`:
- Line 289: Update IsInsideOptimizer to resolve
AiDotNet.Optimizers.OptimizerBase from the compilation and compare current with
that symbol using SymbolEqualityComparer.Default, instead of matching
current.Name to "OptimizerBase"; preserve the existing true/false hierarchy
traversal behavior so AnalyzeObjectCreation only classifies genuine AiDotNet
optimizer types.
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…options overrides to 6
UpdateOptions was abstract, so all 42 concrete optimizers implemented it, and 36 of those
were the same eight lines: downcast the options, assign them to a private typed field,
throw otherwise. That field was a second copy of state the base already owns, and keeping
two copies in step is the only reason the method existed. Every new optimizer inherited
the obligation, and any change to how options are held meant 42 edits.
Those 36 now read their typed options through a computed property over the base's single
instance:
private AdamOptimizerOptions<T, TInput, TOutput> _options
=> (AdamOptimizerOptions<T, TInput, TOutput>)Options;
so the override has nothing to do and is deleted. UpdateOptions becomes virtual with a
no-op default, to be overridden only to REACT to a new option set. Six do: ADMM and
ProximalGradientDescent rebuild a regularizer, Bayesian updates a kernel,
GradientBasedOptimizerBase caches a scheduler mode, Lion re-seeds adaptive parameters,
Rprop validates hyperparameters. Those keep their field and their override.
This closes a latent bug rather than only removing noise. The constructors read
: base(model, options ?? new())
{
_options = options ?? new AdamOptimizerOptions<T, TInput, TOutput>();
which builds TWO different default instances whenever the caller passes null - the base
holding one, the derived class the other, and a change to either invisible to the other.
There is now one instance and no way to desynchronise them.
Adam8BitOptimizer's hand-rolled Deserialize also kept its own copy of the options JSON.
The read stays, because the stream position depends on it and a malformed payload must
still fail there, but the value is discarded: base.Deserialize has already adopted the
authoritative copy.
Stacked on fix/pso-honours-its-seed and depends on it. That branch makes the base adopt
restored options in Deserialize; without it, a computed property would read the
constructor's options after a restore rather than the restored ones.
Verified: 1693 of 1693 optimizer tests pass, and src builds clean on net10.0, net8.0 and
net471. Net -783 lines.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01U1HFtoj81avXvuLebTpWyk
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…uses PerfIntent leases are keyed to a baseline measurement rather than to the causing commit, so they expire when the baseline advances instead of suppressing forever. The census baseline has moved from 9e2d503 to 969f198, so all three RepViT-SAM declarations stopped matching - the expiry working exactly as designed, not a new regression. Most environments have since absorbed the growth into their own baseline and no longer compare against the pre-change level at all, which is why this PR's census currently reports zero errors. Environments whose baseline still sits at the older level do still compare, and PR #2055 hit precisely that: RepViTSAMTests peakWorkingSetBytes regressed 1.79x (437,084,160 -> 781,426,688) with no lease left to cover it. Re-keyed to 969f198 so the declaration applies wherever the comparison still happens. The reasons are unchanged apart from a note recording why the key moved. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01U1HFtoj81avXvuLebTpWyk
…ators by identity Two review findings, both valid, and the first one found a real gap in the test rather than only a stylistic one. The collaborator test asserted the restored FitnessCalculator was RSquaredFitnessCalculator - which is ALSO the default the options JSON decodes to, since interface-typed properties carry no type information through it. So the assertion passed whether the live instance was preserved or silently replaced by the decoded default: the two outcomes it exists to separate were indistinguishable. It now captures the instances before restoring and asserts identity. Rewriting it that way immediately failed, and the failure was informative. PredictionOptions and ModelStatsOptions are CONCRETE classes, so they do carry their type through the JSON and the decoded instance is the restored configuration - preserving the originals there would discard what was restored. The test now states the split it should have stated all along: identity for the three interface-typed collaborators that cannot travel, and NotSame for the two concrete option objects that can. IsInsideOptimizer matched any base type NAMED OptimizerBase, so AIDN077 would fire on an unrelated hierarchy that happens to use the name - a consumer's own base class, or a test double - reporting against code that inherits no seeded generator and has nothing to draw from instead. It now resolves AiDotNet.Optimizers.OptimizerBase`3 from the compilation and compares with SymbolEqualityComparer.Default, which is already this file's convention. Verified: 95 of 95 tests in the touched area pass, src builds clean on net10.0, net8.0 and net471, and the gate still bites - reintroducing both spellings of the defect still fails the build with error AIDN077, so the symbol lookup resolves rather than silently missing. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01U1HFtoj81avXvuLebTpWyk
… refactor A real regression this PR introduced, and one my shard-level triage missed. PaperOptimizerRestoreTests reached the optimizer's typed options by reflecting on a FIELD named _options. This PR turned that field into a computed property over OptimizerBase.Options - one instance instead of two to keep in step - so the lookup failed outright: System.InvalidOperationException : Field '_options' was not found. The helper now looks for a field and then a property at each level of the hierarchy, and is renamed GetPrivateMember to say so. What the test asserts is the VALUE the optimizer was restored with, which is unchanged by where that value is stored. Swept for the same shape elsewhere: this is the only test reflecting on _options, _psoOptions, _saOptions or _normalOptions, and nothing under src/ reflects on them at all, so no serialization or registry path depended on their being fields. How it was missed is worth recording. I triaged the failing CI by SHARD - is this shard also failing on the other PR or on master - which cannot see a single new test failing inside a shard that was already red for other reasons. The ci-test-analysis artifact does the comparison at TEST level and named it immediately. That artifact is the authority for "did this PR break something", not the shard list. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01U1HFtoj81avXvuLebTpWyk
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Inline comments:
In `@src/Optimizers/OptimizerBase.cs`:
- Around line 2240-2242: Remove the empty virtual UpdateOptions method from
OptimizerBase, then introduce an internal handler contract for optimizers that
require option-dependent reconfiguration and invoke that contract when options
are restored. Update affected optimizer implementations to explicitly implement
the handler rather than relying on the no-op base hook.
In
`@tests/AiDotNet.Tests/IntegrationTests/Optimizers/MetaheuristicOptimizerIntegrationTests.cs`:
- Around line 450-451: Update the test around Deserialize to initialize
source.PredictionOptions and source.ModelStatsOptions with distinguishable
non-default values, then assert restored concrete option properties equal those
exact values after deserialization. Keep the existing Assert.NotSame identity
checks and use the concrete option members rather than only comparing object
allocation.
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…t fresh instances NotSame proves only that something new was allocated. A default PredictionStatsOptions put there in place of the payload would satisfy it and still mean deserialize had dropped the restored configuration - the same shape of gap as asserting a type that happens to be the JSON fallback default. The source optimizer now carries distinguishable non-default values - ConfidenceLevel 0.777, LearningCurveSteps 23, MaxVIF 42, against defaults of 0.95, 10 and 10 - and the test asserts those exact values on the restored instance. The identity assertions are kept, so both halves are pinned: the interface-typed collaborators are the SAME objects, and the concrete option objects are different objects carrying the SERIALIZED values. Also merged a duplicated remarks block on UpdateOptions and recorded why its default is empty: under the previous abstract contract every optimizer was forced to implement the method, and 33 of the 34 owning adaptive parameters still did not re-seed them from the new options - only LionOptimizer did. Compulsion produced boilerplate, not correctness. Verified: the test passes, and src builds clean. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01U1HFtoj81avXvuLebTpWyk
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…uses PerfIntent leases are keyed to a baseline measurement rather than to the causing commit, so they expire when the baseline advances instead of suppressing forever. The census baseline has moved from 9e2d503 to 969f198, so all three RepViT-SAM declarations stopped matching - the expiry working exactly as designed, not a new regression. Most environments have since absorbed the growth into their own baseline and no longer compare against the pre-change level at all, which is why this PR's census currently reports zero errors. Environments whose baseline still sits at the older level do still compare, and PR #2055 hit precisely that: RepViTSAMTests peakWorkingSetBytes regressed 1.79x (437,084,160 -> 781,426,688) with no lease left to cover it. Re-keyed to 969f198 so the declaration applies wherever the comparison still happens. The reasons are unchanged apart from a note recording why the key moved. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01U1HFtoj81avXvuLebTpWyk
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Seedlives on the shared options, andOptimizerBase.CreateSearchRandomstates the contract plainly: "a run is a random variable. One that cannot be repeated cannot be debugged." The function-minimisation overloads kept it.Optimize(inputData)— the path a regression model actually uses — did not.Fixing that surfaced the reason it was possible, so this PR does three things: fix the seeding, remove the duplicated state that let it hide, and gate the pattern so it cannot come back.
1. Seeding on the model-based path
Three generators ignored
Options.Seed:Random = new()sat on the line aboveOptions = options ?? …, so it could not have read a seed even in principle — andRandomlySelectFeaturesandInitializeRandomSolutionboth draw from it.CreateSecureRandom().ParticleSwarmOptimizerandSimulatedAnnealingOptimizereach carried a privateRandomthat no seed could reach. Both are deleted; they now draw from the inherited one.DifferentialEvolutionOptimizerneeded nothing — it already usedCreateSearchRandom.Option adoption is now a single
ApplyOptions, used by both the constructor andDeserialize, so the two cannot drift and a future option-derived field is restored for free. Declared withMemberNotNullrather than a null-forgiving operator.Deserialize does not clobber collaborators. Interface-typed properties carry no type information through the options JSON, so Newtonsoft rebuilds each as its property-initializer default — an optimizer configured with
MeanSquaredErrorFitnessCalculatordecodes holdingRSquaredFitnessCalculator. Adopting the payload's collaborators wholesale would swap a caller's evaluator for a default on every restore, so the values are adopted and the live collaborators carried across.2. The duplicated state underneath — 42
UpdateOptionsoverrides to 6UpdateOptionswasabstract, so all 42 concrete optimizers implemented it, and 36 were the same eight lines: downcast, assign to a private typed field, throw otherwise. That field was a second copy of state the base already owns.They now read through a computed property over the base's single instance:
so the override has nothing to do and is deleted.
UpdateOptionsbecomesvirtual, to be overridden only to react to a new option set — six do, and keep both field and override.This closes a second latent bug:
base(model, options ?? new())alongside_options = options ?? new AdamOptimizerOptions<>()builds two different default instances whenever the caller passes null, each blind to the other. There is now one instance.3. A gate so it cannot regrow
AIDN077 makes
new Random(...)orRandomHelper.Create*inside anOptimizerBasesubclass a build error — not a warning.AIDN070–076are all inWarningsNotAsErrorsbecause legacy code violates them; AIDN077 has zero violations the moment it lands, so it is deliberately not grandfathered. Proven by reintroducing the defect:Tests
Each fails against the wrong implementation and passes against this one — the control arm was run for every claim here.
Optimize(inputData)returns the sameBestFitnessScore. Without the fix, two same-seed constructions give(2072998746, 0.303)vs(493046785, 0.838).ResetAdaptiveParameters()fromDeserializelooks like it fixes staleness, but the state layer already carries live values — a mid-run optimizer serialized at inertia0.137comes back at0.137, and that "fix" rewinds it to0.42. I wrote that change before measuring; the test now blocks it.Verification
srcbuilds clean on net10.0, net8.0 and net471.Review notes
Options,Randomand the option-derived fields lostreadonlyso the deserialize path can adopt them. That is the widest-reaching part of the diff and the part most worth a human read.RootMeanSquarePropagationOptimizeris apartial classwhose override lives in another file. Both were caught by the compiler, not by inspection.Course-side counterpart: ooples/AiDotNet.Optimization.Course#3 (independent, no dependency either way).
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https://claude.ai/code/session_01U1HFtoj81avXvuLebTpWyk
Summary by CodeRabbit
New Features
Bug Fixes
Tests