public static ISgMutantProfile ToSgMutantProfile
(
this ISorterGenomeEval parentGenomeEval,
ISorterMutateParams sorterMutateParams
)
{
var rando = Rando.Fast(sorterMutateParams.Seed);
var layer = SorterLayer.Make(new[] { parentGenomeEval.SorterGenome }, 0)
.Reproduce(
seed: rando.NextInt(),
newGenomeCount: sorterMutateParams.MutantCount,
mutationRate: sorterMutateParams.SorterMutationRate,
insertionRate: sorterMutateParams.SorterInsertionRate,
deletionRate: sorterMutateParams.SorterDeletionRate
);
var compPool = CompPool.MakeEmpty(parentGenomeEval.SorterGenome.KeyCount)
.AddSorterEvalsParallel(layer.Genomes.Select(g => g.ToSorter()));
return(new SgMutantProfileImpl(
parentGenomeEval: parentGenomeEval,
sorterGenomeEvals: compPool.SorterEvals.Where(ev => ev.SwitchUseCount <= sorterMutateParams.MaxScore)
.Select(ev => SorterGenomeEval.Make
(
sorterGenome: layer.GetGenome(ev.Sorter.Guid),
parentGenomeEval: parentGenomeEval,
sorterEval: ev,
generation: 1,
success: ev.Success
)),
scores: compPool.SorterEvals.Select(ev => (double)ev.SwitchUseCount),
sorterMutateParams: sorterMutateParams
));
}
public static ISorterCompParaPoolWorkflow Make(
int seed,
SwitchableGroupGenomeType switchableGroupGenomeType,
int keyCount,
int keyPairCount,
int switchableGroupSize,
SorterCompParaPoolParams sorterCompParaPoolParams
)
{
var randy = Rando.Fast(seed);
return(new SorterCompParaPoolWorkflowImpl
(
sorterLayer: SorterLayer.Create
(
seed: randy.NextInt(),
genomeCount: sorterCompParaPoolParams.PopulationSize,
keyCount: keyCount,
keyPairCount: keyPairCount
),
switchableGroupLayer: SwitchableLayer.Create
(
seed: randy.NextInt(),
switchableGroupGenomeType: switchableGroupGenomeType,
genomeCount: sorterCompParaPoolParams.SwitchableLayerStartingGenomeCount,
keyCount: keyCount,
groupSize: switchableGroupSize
),
sorterCompParaPoolParams: sorterCompParaPoolParams,
generation: 0
));
}
private ISorterCompParaPoolWorkflow EvaluateResultsStep(int seed)
{
var sorterLayerEval =
CompParaPool.SorterOnSwitchableGroupSets.Select(
t => GenomeEval.Make(
genome: SorterLayer.GetGenome(t.Sorter.Guid),
score: t.SwitchesUsed,
generation: Generation,
success: t.SorterOnSwitchableGroups.All(sg => sg.Success)
)
).Make <ISorterGenome, IGenomeEval <ISorterGenome> >();
var switchableGroupLayerEval =
CompParaPool.SorterOnSwitchableGroups.GroupBy(t => t.SwitchableGroupGuid).Select(
g => GenomeEval.Make(
genome: SwitchableGroupLayer.GetGenome(g.Key),
score: g.Sum(s => - s.SwitchUseCount),
generation: Generation,
success: g.All(m => m.Success)
)
).Make <ISwitchableGroupGenome, IGenomeEval <ISwitchableGroupGenome> >();
return(new SorterCompParaPoolWorkflowImpl
(
compWorkflowState: CompWorkflowState.UpdateGenomes,
sorterLayer: SorterLayer,
switchableGroupLayer: SwitchableGroupLayer,
compParaPool: CompParaPool,
sorterLayerEval: sorterLayerEval,
switchableGroupLayerEval: switchableGroupLayerEval,
sorterCompParaPoolParams: SorterCompParaPoolParams,
generation: Generation
));
}
public async Task OnRunAsync(CancellationTokenSource cancellationTokenSource)
{
Busy = true;
_cancellationTokenSource = cancellationTokenSource;
var rando = Rando.Fast(ScpParamsVm.Seed);
var rbw = RecursiveBackgroundWorker.Make
(
initialState: ScpWorkflow.Make
(
sorterLayer: SorterLayer.Make(
sorterGenomes: _sorterGenomeEvals.Select(e => e.Value.SorterGenome),
generation: ScpParamsVm.CurrentGeneration
),
scpParams: ScpParamsVm.GetParams,
generation: ScpParamsVm.CurrentGeneration
),
recursion: (i, c) =>
{
var nextStep = i;
while (true)
{
if (_cancellationTokenSource.IsCancellationRequested)
{
return(IterationResult.Make <IScpWorkflow>(null, ProgressStatus.StepIncomplete));
}
nextStep = nextStep.Step(rando.NextInt());
if (nextStep.CompWorkflowState == CompWorkflowState.ReproGenomes)
{
return(IterationResult.Make(nextStep, ProgressStatus.StepComplete));
}
}
},
totalIterations: ScpParamsVm.TotalGenerations - ScpParamsVm.CurrentGeneration,
cancellationTokenSource: _cancellationTokenSource
);
rbw.OnIterationResult.Subscribe(UpdateSorterTuneResults);
await rbw.Start();
Busy = false;
}
private ISorterCompParaPoolWorkflow ReproStep(int seed)
{
var randy = Rando.Fast(seed);
var sorterLayer = SorterLayer.ReproducePreserveParents(seed: randy.NextInt(), newGenomeCount: SorterCompParaPoolParams.ChildCount, mutationRate: SorterCompParaPoolParams.SorterMutationRate, insertionRate: SorterCompParaPoolParams.SorterMutationRate, deletionRate: SorterCompParaPoolParams.SorterDeletionRate);
var switchableGroupLayer = SwitchableGroupLayer.Reproduce(seed: randy.NextInt(), newGenomeCount: SorterCompParaPoolParams.SwitchableLayerExpandedGenomeCount, mutationRate: SorterCompParaPoolParams.SwitchableLayerExpandedGenomeCount, insertionRate: SorterCompParaPoolParams.SwitchableGroupInsertionRate, deletionRate: SorterCompParaPoolParams.SwitchableGroupDeletionRate);
return(new SorterCompParaPoolWorkflowImpl
(
compWorkflowState: CompWorkflowState.RunCompetition,
sorterLayer: sorterLayer,
switchableGroupLayer: switchableGroupLayer,
compParaPool: null,
sorterLayerEval: null,
switchableGroupLayerEval: null,
sorterCompParaPoolParams: SorterCompParaPoolParams,
generation: Generation
));
}
public static IScpWorkflow Make(
int seed,
int keyCount,
int keyPairCount,
IScpParams scpParams
)
{
var randy = Rando.Fast(seed);
return(new ScpWorkflowImpl
(
sorterLayer0: null,
sorterLayer1: SorterLayer.Create
(
seed: randy.NextInt(),
genomeCount: scpParams.PopulationCount,
keyCount: keyCount,
keyPairCount: keyPairCount
),
scpParams: scpParams,
generation: 0,
report: string.Empty
));
}
