builder-help.md

Package dynamicalSystem

Aliases: ds, dynSys, dynamicalSystem

Builder dynamicalSystem.defaultRG()

ds.defaultRG(seed)

Param	Type	Default	Java type
seed	i	0	int

Produces RandomGenerator; built from io.github.ericmedvet.jsdynsym.buildable.builders.Misc.defaultRG() by jsdynsym-buildable:0.10.8-SNAPSHOT:2024-02-26T23:32:39Z

Builder dynamicalSystem.grid()

ds.grid(w; h; items)

Param	Type	Default	Java type
w	i		int
h	i		int
items	npm[]	[]	List<T>

Produces Grid<T>; built from io.github.ericmedvet.jsdynsym.buildable.builders.Misc.grid() by jsdynsym-buildable:0.10.8-SNAPSHOT:2024-02-26T23:32:39Z

Builder dynamicalSystem.range()

ds.range(min; max)

Param	Type	Default	Java type
min	d		double
max	d		double

Produces DoubleRange; built from io.github.ericmedvet.jsdynsym.buildable.builders.Misc.range() by jsdynsym-buildable:0.10.8-SNAPSHOT:2024-02-26T23:32:39Z

Package dynamicalSystem.num

Aliases: ds.num, dynSys.num, dynamicalSystem.num

Builder dynamicalSystem.num.drn()

ds.num.drn(timeRange; innerNeuronsRatio; activationFunction; threshold; timeResolution)

Param	Type	Default	Java type
timeRange	npm	ds.range(min = 0; max = 1)	DoubleRange
innerNeuronsRatio	d	1.0	double
activationFunction	e	TANH	MultiLayerPerceptron$ActivationFunction
threshold	d	0.1	double
timeResolution	d	0.16666	double

Produces NumericalDynamicalSystems$Builder<DelayedRecurrentNetwork, DelayedRecurrentNetwork$State>; built from io.github.ericmedvet.jsdynsym.buildable.builders.NumericalDynamicalSystems.drn() by jsdynsym-buildable:0.10.8-SNAPSHOT:2024-02-26T23:32:39Z

Builder dynamicalSystem.num.enhanced()

ds.num.enhanced(windowT; inner; types)

Param	Type	Default	Java type
windowT	d		double
inner	npm		NumericalDynamicalSystems$Builder<? extends NumericalDynamicalSystem<S>, S>
types	e[]	[CURRENT, TREND, AVG]	List<EnhancedInput$Type>

Produces NumericalDynamicalSystems$Builder<EnhancedInput<S>, S>; built from io.github.ericmedvet.jsdynsym.buildable.builders.NumericalDynamicalSystems.enhanced() by jsdynsym-buildable:0.10.8-SNAPSHOT:2024-02-26T23:32:39Z

Builder dynamicalSystem.num.inStepped()

ds.num.inStepped(stepT; inner)

Param	Type	Default	Java type
stepT	d	1.0	double
inner	npm		NumericalDynamicalSystems$Builder<? extends NumericalDynamicalSystem<S>, S>

Produces NumericalDynamicalSystems$Builder<NumericalDynamicalSystem<Stepped$State<S>>, Stepped$State<S>>; built from io.github.ericmedvet.jsdynsym.buildable.builders.NumericalDynamicalSystems.inStepped() by jsdynsym-buildable:0.10.8-SNAPSHOT:2024-02-26T23:32:39Z

Builder dynamicalSystem.num.mlp()

ds.num.mlp(innerLayerRatio; nOfInnerLayers; activationFunction)

Param	Type	Default	Java type
innerLayerRatio	d	0.65	double
nOfInnerLayers	i	1	int
activationFunction	e	TANH	MultiLayerPerceptron$ActivationFunction

Produces NumericalDynamicalSystems$Builder<MultiLayerPerceptron, StatelessSystem$State>; built from io.github.ericmedvet.jsdynsym.buildable.builders.NumericalDynamicalSystems.mlp() by jsdynsym-buildable:0.10.8-SNAPSHOT:2024-02-26T23:32:39Z

Builder dynamicalSystem.num.noised()

ds.num.noised(inputSigma; outputSigma; randomGenerator; inner)

Param	Type	Default	Java type
inputSigma	d	0.0	double
outputSigma	d	0.0	double
randomGenerator	npm	ds.defaultRG()	RandomGenerator
inner	npm		NumericalDynamicalSystems$Builder<? extends NumericalDynamicalSystem<S>, S>

Produces NumericalDynamicalSystems$Builder<Noised<S>, S>; built from io.github.ericmedvet.jsdynsym.buildable.builders.NumericalDynamicalSystems.noised() by jsdynsym-buildable:0.10.8-SNAPSHOT:2024-02-26T23:32:39Z

Builder dynamicalSystem.num.outStepped()

ds.num.outStepped(stepT; inner)

Param	Type	Default	Java type
stepT	d	1.0	double
inner	npm		NumericalDynamicalSystems$Builder<? extends NumericalDynamicalSystem<S>, S>

Produces NumericalDynamicalSystems$Builder<NumericalDynamicalSystem<Stepped$State<S>>, Stepped$State<S>>; built from io.github.ericmedvet.jsdynsym.buildable.builders.NumericalDynamicalSystems.outStepped() by jsdynsym-buildable:0.10.8-SNAPSHOT:2024-02-26T23:32:39Z

Builder dynamicalSystem.num.sin()

ds.num.sin(p; f; a; b)

Param	Type	Default	Java type
p	npm	ds.range(min = -1.57; max = 1.57)	DoubleRange
f	npm	ds.range(min = 0; max = 1)	DoubleRange
a	npm	ds.range(min = 0; max = 1)	DoubleRange
b	npm	ds.range(min = -0.5; max = 0.5)	DoubleRange

Produces NumericalDynamicalSystems$Builder<Sinusoidal, StatelessSystem$State>; built from io.github.ericmedvet.jsdynsym.buildable.builders.NumericalDynamicalSystems.sin() by jsdynsym-buildable:0.10.8-SNAPSHOT:2024-02-26T23:32:39Z

Builder dynamicalSystem.num.stepped()

ds.num.stepped(stepT; inner)

Param	Type	Default	Java type
stepT	d	1.0	double
inner	npm		NumericalDynamicalSystems$Builder<? extends NumericalDynamicalSystem<S>, S>

Produces NumericalDynamicalSystems$Builder<NumericalDynamicalSystem<Stepped$State<S>>, Stepped$State<S>>; built from io.github.ericmedvet.jsdynsym.buildable.builders.NumericalDynamicalSystems.stepped() by jsdynsym-buildable:0.10.8-SNAPSHOT:2024-02-26T23:32:39Z

Package ea

Builder ea.experiment()

ea.experiment(name; runs; listeners)

Param	Type	Default	Java type
name	s	``	String
runs	npm[]	[]	List<Run<?, ?, ?, ?>>
listeners	npm[]	[ea.l.console()]	List<BiFunction<Experiment, ExecutorService, ListenerFactory<? super POCPopulationState<?, ?, ?, ?, ?>, Run<?, ?, ?, ?>>>>

Produces Experiment; built from io.github.ericmedvet.jgea.experimenter.Experiment() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.run()

ea.run(name; solver; problem; randomGenerator)

Param	Type	Default	Java type
name	s	``	String
solver	npm		Function<S, ? extends AbstractPopulationBasedIterativeSolver<? extends POCPopulationState<?, G, S, Q, P>, P, ?, G, S, Q>>
problem	npm		P
randomGenerator	npm		RandomGenerator

Produces Run; built from io.github.ericmedvet.jgea.experimenter.Run() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.runOutcome()

ea.runOutcome(index; run; serializedGenotypes)

Param	Type	Default	Java type
index	s		String
run	npm		Run<?, ?, ?, ?>
serializedGenotypes	s[]	[]	List<String>

Produces RunOutcome; built from io.github.ericmedvet.jgea.experimenter.RunOutcome() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.drawer

Aliases: ea.d, ea.drawer

Builder ea.drawer.navigationOutcome()

ea.d.navigationOutcome()

Produces OutcomeDrawer; built from io.github.ericmedvet.jgea.experimenter.builders.Drawers.navigationOutcome() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.function

Aliases: ea.f, ea.function

Builder ea.function.fromBase64()

ea.f.fromBase64()

Produces Function<String, Object>; built from io.github.ericmedvet.jgea.experimenter.builders.Functions.fromBase64() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.function.identity()

ea.f.identity()

Produces Function<T, T>; built from io.github.ericmedvet.jgea.experimenter.builders.Functions.identity() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.grammar

Builder ea.grammar.gridBundled()

ea.grammar.gridBundled(name)

Param	Type	Default	Java type
name	s		String

Produces GridGrammar<Character>; built from io.github.ericmedvet.jgea.experimenter.builders.Grammars.gridBundled() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.listener

Aliases: ea.l, ea.listener

Builder ea.listener.allCsv()

ea.l.allCsv(filePath; defaultFunctions; functions; individualFunctions; runKeys; deferred; onlyLast; condition)

Param	Type	Default	Java type
filePath	s		String
defaultFunctions	npm[]	[ea.nf.iterations()]	List<NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ?>>
functions	npm[]	[]	List<NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ?>>
individualFunctions	npm[]	[]	List<NamedFunction<? super Individual<G, S, Q>, ?>>
runKeys	npm[]	[]	List<Map$Entry<String, String>>
deferred	b	false	boolean
onlyLast	b	false	boolean
condition	npm	ea.predicate.always()	Predicate<Run<?, G, S, Q>>

Produces BiFunction<Experiment, ExecutorService, ListenerFactory<? super POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Listeners.allCsv() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.listener.bestCsv()

ea.l.bestCsv(filePath; defaultFunctions; functions; runKeys; deferred; onlyLast; condition)

Param	Type	Default	Java type
filePath	s		String
defaultFunctions	npm[]	[ea.nf.iterations(), ea.nf.evals(), ea.nf.births(), ea.nf.elapsed(), ea.nf.size(f = ea.nf.all()), ea.nf.size(f = ea.nf.firsts()), ea.nf.size(f = ea.nf.lasts()), ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.genotype())), ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.solution())), ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.fitness()))]	List<NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ?>>
functions	npm[]	[]	List<NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ?>>
runKeys	npm[]	[]	List<Map$Entry<String, String>>
deferred	b	false	boolean
onlyLast	b	false	boolean
condition	npm	ea.predicate.always()	Predicate<Run<?, G, S, Q>>

Produces BiFunction<Experiment, ExecutorService, ListenerFactory<? super POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Listeners.bestCsv() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.listener.console()

ea.l.console(defaultFunctions; functions; runKeys; deferred; onlyLast; condition)

Param	Type	Default	Java type
defaultFunctions	npm[]	[ea.nf.iterations(), ea.nf.evals(), ea.nf.births(), ea.nf.elapsed(), ea.nf.size(f = ea.nf.all()), ea.nf.size(f = ea.nf.firsts()), ea.nf.size(f = ea.nf.lasts()), ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.genotype())), ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.solution())), ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.fitness()))]	List<NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ?>>
functions	npm[]	[]	List<NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ?>>
runKeys	npm[]	[]	List<Map$Entry<String, String>>
deferred	b	false	boolean
onlyLast	b	false	boolean
condition	npm	ea.predicate.always()	Predicate<Run<?, G, S, Q>>

Produces BiFunction<Experiment, ExecutorService, ListenerFactory<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Listeners.console() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.listener.expPlotSaver()

ea.l.expPlotSaver(plot; type; w; h; freeScales; filePath; saveCsvDataMode; condition)

Param	Type	Default	Java type
plot	npm		AccumulatorFactory<POCPopulationState<?, G, S, Q, ?>, XYPlot<?>, Run<?, G, S, Q>>
type	e		Plotter$Type
w	i	800	int
h	i	800	int
freeScales	b	false	boolean
filePath	s		String
saveCsvDataMode	e	NONE	CsvPlotter$Mode
condition	npm	ea.predicate.always()	Predicate<Run<?, G, S, Q>>

Produces BiFunction<Experiment, ExecutorService, ListenerFactory<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Listeners.expPlotSaver() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.listener.net()

ea.l.net(defaultFunctions; functions; runKeys; serverAddress; serverPort; serverKeyFilePath; pollInterval; condition)

Param	Type	Default	Java type
defaultFunctions	npm[]	[ea.nf.iterations(), ea.nf.evals(), ea.nf.births(), ea.nf.elapsed(), ea.nf.size(f = ea.nf.all()), ea.nf.size(f = ea.nf.firsts()), ea.nf.size(f = ea.nf.lasts()), ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.genotype())), ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.solution())), ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.fitness()))]	List<NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ?>>
functions	npm[]	[]	List<NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ?>>
runKeys	npm[]	[]	List<Map$Entry<String, String>>
serverAddress	s	127.0.0.1	String
serverPort	i	10979	int
serverKeyFilePath	s		String
pollInterval	d	1.0	double
condition	npm	ea.predicate.always()	Predicate<Run<?, G, S, Q>>

Produces BiFunction<Experiment, ExecutorService, ListenerFactory<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Listeners.net() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.listener.outcomeSaver()

ea.l.outcomeSaver(filePathTemplate; deferred; condition)

Param	Type	Default	Java type
filePathTemplate	s	run-outcome-{index:%04d}.txt	String
deferred	b	true	boolean
condition	npm	ea.predicate.always()	Predicate<Run<?, G, S, Q>>

Produces BiFunction<Experiment, ExecutorService, ListenerFactory<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Listeners.outcomeSaver() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.listener.runImageVideoSaver()

ea.l.runImageVideoSaver(function; drawer; w; h; encoder; frameRate; filePathTemplate; condition)

Param	Type	Default	Java type
function	npm	ea.nf.best()	NamedFunction<POCPopulationState<?, G, S, Q, ?>, K>
drawer	npm		Drawer<K>
w	i	500	int
h	i	500	int
encoder	e	JCODEC	VideoUtils$EncoderFacility
frameRate	d	20.0	double
filePathTemplate	s	run-{index:%04d}.mp4	String
condition	npm	ea.predicate.always()	Predicate<Run<?, G, S, Q>>

Produces BiFunction<Experiment, ExecutorService, ListenerFactory<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Listeners.runImageVideoSaver() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.listener.runPlotSaver()

ea.l.runPlotSaver(plot; type; w; h; freeScales; filePathTemplate; saveCsvDataMode; condition)

Param	Type	Default	Java type
plot	npm		AccumulatorFactory<POCPopulationState<?, G, S, Q, ?>, XYPlot<?>, Run<?, G, S, Q>>
type	e		Plotter$Type
w	i	800	int
h	i	800	int
freeScales	b	false	boolean
filePathTemplate	s	run-{index:%04d}.png	String
saveCsvDataMode	e	NONE	CsvPlotter$Mode
condition	npm	ea.predicate.always()	Predicate<Run<?, G, S, Q>>

Produces BiFunction<Experiment, ExecutorService, ListenerFactory<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Listeners.runPlotSaver() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.listener.runPlotVideoSaver()

ea.l.runPlotVideoSaver(plot; type; w; h; freeScales; splitType; encoder; frameRate; filePathTemplate; condition)

Param	Type	Default	Java type
plot	npm		AccumulatorFactory<POCPopulationState<?, G, S, Q, ?>, XYPlot<?>, Run<?, G, S, Q>>
type	e		Plotter$Type
w	i	800	int
h	i	800	int
freeScales	b	false	boolean
splitType	e	COLUMNS	VideoPlotter$SplitType
encoder	e	JCODEC	VideoUtils$EncoderFacility
frameRate	d	20.0	double
filePathTemplate	s	run-{index:%04d}.mp4	String
condition	npm	ea.predicate.always()	Predicate<Run<?, G, S, Q>>

Produces BiFunction<Experiment, ExecutorService, ListenerFactory<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Listeners.runPlotVideoSaver() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.listener.telegram()

ea.l.telegram(chatId; botIdFilePath; defaultPlots; plots; accumulators; runKeys; deferred; onlyLast; condition)

Param	Type	Default	Java type
chatId	s		String
botIdFilePath	s		String
defaultPlots	npm[]	[ea.plot.elapsed()]	List<PlotAccumulatorFactory<? super POCPopulationState<?, G, S, Q, ?>, ?, Run<?, G, S, Q>, ?>>
plots	npm[]	[]	List<PlotAccumulatorFactory<? super POCPopulationState<?, G, S, Q, ?>, ?, Run<?, G, S, Q>, ?>>
accumulators	npm[]	[]	List<AccumulatorFactory<? super POCPopulationState<?, G, S, Q, ?>, ?, Run<?, G, S, Q>>>
runKeys	npm[]	[]	List<Map$Entry<String, String>>
deferred	b	true	boolean
onlyLast	b	false	boolean
condition	npm	ea.predicate.always()	Predicate<Run<?, G, S, Q>>

Produces BiFunction<Experiment, ExecutorService, ListenerFactory<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Listeners.telegram() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.listener.tui()

ea.l.tui(defaultFunctions; functions; runKeys; condition)

Param	Type	Default	Java type
defaultFunctions	npm[]	[ea.nf.iterations(), ea.nf.evals(), ea.nf.births(), ea.nf.elapsed(), ea.nf.size(f = ea.nf.all()), ea.nf.size(f = ea.nf.firsts()), ea.nf.size(f = ea.nf.lasts()), ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.genotype())), ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.solution())), ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.fitness()))]	List<NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ?>>
functions	npm[]	[]	List<NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ?>>
runKeys	npm[]	[]	List<Map$Entry<String, String>>
condition	npm	ea.predicate.always()	Predicate<Run<?, G, S, Q>>

Produces BiFunction<Experiment, ExecutorService, ListenerFactory<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Listeners.tui() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.mapper

Aliases: ea.m, ea.mapper

Builder ea.mapper.bitStringToGrammarGrid()

ea.m.bitStringToGrammarGrid(grammar; l; overwrite; criteria)

Param	Type	Default	Java type
grammar	npm		GridGrammar<T>
l	i	256	int
overwrite	b	false	boolean
criteria	e[]	[LEAST_RECENT, LOWEST_Y, LOWEST_X]	List<StandardGridDeveloper$SortingCriterion>

Produces InvertibleMapper<BitString, Grid<T>>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.bitStringToGrammarGrid() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.mapper.compose()

ea.m.compose(first; second)

Param	Type	Default	Java type
first	npm		InvertibleMapper<A, B>
second	npm		InvertibleMapper<B, C>

Produces InvertibleMapper<A, C>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.compose() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.mapper.doubleStringToBitString()

ea.m.doubleStringToBitString(t)

Param	Type	Default	Java type
t	d	0.0	double

Produces InvertibleMapper<List<Double>, BitString>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.doubleStringToBitString() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.mapper.doubleStringToGrammarGrid()

ea.m.doubleStringToGrammarGrid(grammar; l; overwrite; criteria)

Param	Type	Default	Java type
grammar	npm		GridGrammar<T>
l	i	256	int
overwrite	b	false	boolean
criteria	e[]	[LEAST_RECENT, LOWEST_Y, LOWEST_X]	List<StandardGridDeveloper$SortingCriterion>

Produces InvertibleMapper<List<Double>, Grid<T>>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.doubleStringToGrammarGrid() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.mapper.doubleStringToIntString()

ea.m.doubleStringToIntString(range)

Param	Type	Default	Java type
range	npm	ds.range(min = -1; max = 1)	DoubleRange

Produces InvertibleMapper<List<Double>, IntString>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.doubleStringToIntString() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.mapper.fGraphToMrf()

ea.m.fGraphToMrf(postOperator)

Param	Type	Default	Java type
postOperator	e	IDENTITY	MultiLayerPerceptron$ActivationFunction

Produces InvertibleMapper<Graph<Node, Double>, NamedMultivariateRealFunction>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.fGraphToMrf() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.mapper.identity()

ea.m.identity()

Produces InvertibleMapper<X, X>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.identity() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.mapper.intStringToGrammarGrid()

ea.m.intStringToGrammarGrid(grammar; upperBound; l; overwrite; criteria)

Param	Type	Default	Java type
grammar	npm		GridGrammar<T>
upperBound	i	16	int
l	i	256	int
overwrite	b	false	boolean
criteria	e[]	[LEAST_RECENT, LOWEST_Y, LOWEST_X]	List<StandardGridDeveloper$SortingCriterion>

Produces InvertibleMapper<IntString, Grid<T>>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.intStringToGrammarGrid() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.mapper.mlpToMrf()

ea.m.mlpToMrf(innerLayerRatio; nOfInnerLayers; activationFunction)

Param	Type	Default	Java type
innerLayerRatio	d	0.65	double
nOfInnerLayers	i	1	int
activationFunction	e	TANH	MultiLayerPerceptron$ActivationFunction

Produces InvertibleMapper<List<Double>, NamedMultivariateRealFunction>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.mlpToMrf() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.mapper.mrfToNds()

ea.m.mrfToNds()

Produces InvertibleMapper<NamedMultivariateRealFunction, NumericalDynamicalSystem<?>>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.mrfToNds() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.mapper.mrfToUrf()

ea.m.mrfToUrf()

Produces InvertibleMapper<NamedMultivariateRealFunction, NamedUnivariateRealFunction>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.mrfToUrf() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.mapper.multiSrTreeToMrf()

ea.m.multiSrTreeToMrf(postOperator)

Param	Type	Default	Java type
postOperator	e	IDENTITY	MultiLayerPerceptron$ActivationFunction

Produces InvertibleMapper<List<Tree<Element>>, NamedMultivariateRealFunction>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.multiSrTreeToMrf() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.mapper.numericalParametrizedToMrf()

ea.m.numericalParametrizedToMrf(function)

Param	Type	Default	Java type
function	npm		NumericalDynamicalSystems$Builder<MultivariateRealFunction, StatelessSystem$State>

Produces InvertibleMapper<List<Double>, NamedMultivariateRealFunction>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.numericalParametrizedToMrf() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.mapper.oGraphToMrf()

ea.m.oGraphToMrf(postOperator)

Param	Type	Default	Java type
postOperator	e	IDENTITY	MultiLayerPerceptron$ActivationFunction

Produces InvertibleMapper<Graph<Node, OperatorGraph$NonValuedArc>, NamedMultivariateRealFunction>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.oGraphToMrf() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.mapper.srTreeToUrf()

ea.m.srTreeToUrf(postOperator)

Param	Type	Default	Java type
postOperator	e	IDENTITY	MultiLayerPerceptron$ActivationFunction

Produces InvertibleMapper<Tree<Element>, NamedUnivariateRealFunction>; built from io.github.ericmedvet.jgea.experimenter.builders.Mappers.srTreeToUrf() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.misc

Builder ea.misc.colorByName()

ea.misc.colorByName(name)

Param	Type	Default	Java type
name	s		String

Produces Color; built from io.github.ericmedvet.jgea.experimenter.builders.Misc.colorByName() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.misc.colorByRGB()

ea.misc.colorByRGB(r; g; c)

Param	Type	Default	Java type
r	d		double
g	d		double
c	d		double

Produces Color; built from io.github.ericmedvet.jgea.experimenter.builders.Misc.colorByRGB() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.misc.entry()

ea.misc.entry(key; value)

Param	Type	Default	Java type
key	npm		K
value	npm		V

Produces Map$Entry<K, V>; built from io.github.ericmedvet.jgea.experimenter.builders.Misc.entry() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.misc.map()

ea.misc.map(entries)

Param	Type	Default	Java type
entries	npm[]	[]	List<Map$Entry<K, V>>

Produces Map<K, V>; built from io.github.ericmedvet.jgea.experimenter.builders.Misc.map() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.misc.sEntry()

ea.misc.sEntry(key; value)

Param	Type	Default	Java type
key	s		String
value	s		String

Produces Map$Entry<String, String>; built from io.github.ericmedvet.jgea.experimenter.builders.Misc.sEntry() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.namedFunctions

Aliases: ea.namedFunctions, ea.nf

Builder ea.namedFunctions.all()

ea.nf.all()

Produces NamedFunction<POCPopulationState<?, G, S, Q, ?>, Collection<? extends Individual<G, S, Q>>>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.all() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.asDoubleString()

ea.nf.asDoubleString(f)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, S>

Produces NamedFunction<X, List<Double>>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.asDoubleString() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.avg()

ea.nf.avg(collection; s)

Param	Type	Default	Java type
collection	npm	ea.nf.identity()	NamedFunction<X, Collection<Number>>
s	s	%s	String

Produces NamedFunction<X, Number>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.avg() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.base64()

ea.nf.base64(f)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, Serializable>

Produces NamedFunction<X, String>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.base64() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.best()

ea.nf.best(f)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<Individual<G, S, Q>, T>

Produces NamedFunction<POCPopulationState<?, G, S, Q, ?>, T>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.best() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.bestFitness()

ea.nf.bestFitness(f; s)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<Q, T>
s	s	%s	String

Produces NamedFunction<POCPopulationState<?, ?, ?, Q, ?>, T>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.bestFitness() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.births()

ea.nf.births()

Produces NamedFunction<POCPopulationState<?, ?, ?, ?, ?>, Long>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.births() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.controlQuality()

ea.nf.controlQuality(individual; f; s)

Param	Type	Default	Java type
individual	npm	ea.nf.identity()	NamedFunction<X, Individual<?, ?, ControlProblem$Outcome<?, Q>>>
f	npm	ea.nf.identity()	NamedFunction<Q, T>
s	s	%s	String

Produces NamedFunction<X, T>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.controlQuality() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.each()

ea.nf.each(map; collection; s)

Param	Type	Default	Java type
map	npm		NamedFunction<T, R>
collection	npm	ea.nf.identity()	NamedFunction<X, Collection<T>>
s	s	%s	String

Produces NamedFunction<X, Collection<R>>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.each() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.elapsed()

ea.nf.elapsed()

Produces NamedFunction<POCPopulationState<?, ?, ?, ?, ?>, Double>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.elapsed() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.evals()

ea.nf.evals()

Produces NamedFunction<POCPopulationState<?, ?, ?, ?, ?>, Long>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.evals() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.expr()

ea.nf.expr(f1; f2; op)

Param	Type	Default	Java type
f1	npm		NamedFunction<X, Number>
f2	npm		NamedFunction<X, Number>
op	e		NamedFunctions$Op

Produces NamedFunction<X, Double>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.expr() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.f()

ea.nf.f(outerF; innerF; name; s)

Param	Type	Default	Java type
outerF	npm		Function<T, R>
innerF	npm	ea.nf.identity()	NamedFunction<X, T>
name	s	``	String
s	s	%s	String

Produces NamedFunction<X, R>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.f() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.firsts()

ea.nf.firsts()

Produces NamedFunction<POCPopulationState<I, G, S, Q, P>, Collection<I>>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.firsts() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.fitness()

ea.nf.fitness(individual; f; s)

Param	Type	Default	Java type
individual	npm	ea.nf.identity()	NamedFunction<X, Individual<?, ?, F>>
f	npm	ea.nf.identity()	NamedFunction<F, T>
s	s	%s	String

Produces NamedFunction<X, T>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.fitness() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.fitnessHist()

ea.nf.fitnessHist(f; nBins)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<Q, Number>
nBins	i	8	int

Produces NamedFunction<POCPopulationState<?, ?, ?, Q, ?>, TextPlotter$Miniplot>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.fitnessHist() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.formatted()

ea.nf.formatted(s; f)

Param	Type	Default	Java type
s	s		String
f	npm		NamedFunction<T, R>

Produces NamedFunction<T, R>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.formatted() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.genotype()

ea.nf.genotype(individual; s)

Param	Type	Default	Java type
individual	npm	ea.nf.identity()	NamedFunction<X, Individual<G, ?, ?>>
s	s	%s	String

Produces NamedFunction<X, G>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.genotype() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.grid()

ea.nf.grid(f; s; cellSeparator; rowSeparator; emptyCell)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<T, Grid<Object>>
s	s	%20.20s	String
cellSeparator	s	``	String
rowSeparator	s	;	String
emptyCell	s	·	String

Produces NamedFunction<T, String>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.grid() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.gridCount()

ea.nf.gridCount(f; s)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, Grid<?>>
s	s	%2d	String

Produces NamedFunction<X, Integer>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.gridCount() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.gridH()

ea.nf.gridH(f; s)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, Grid<?>>
s	s	%2d	String

Produces NamedFunction<X, Integer>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.gridH() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.gridW()

ea.nf.gridW(f; s)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, Grid<?>>
s	s	%2d	String

Produces NamedFunction<X, Integer>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.gridW() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.hist()

ea.nf.hist(collection; nBins)

Param	Type	Default	Java type
collection	npm	ea.nf.identity()	NamedFunction<X, Collection<Number>>
nBins	i	8	int

Produces NamedFunction<X, TextPlotter$Miniplot>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.hist() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.hypervolume2D()

ea.nf.hypervolume2D(collection; minReference; maxReference; s)

Param	Type	Default	Java type
collection	npm	ea.nf.identity()	NamedFunction<X, Collection<List<Double>>>
minReference	d[]	[]	List<Double>
maxReference	d[]	[]	List<Double>
s	s	%s	String

Produces NamedFunction<X, Double>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.hypervolume2D() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.identity()

ea.nf.identity()

Produces NamedFunction<T, T>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.identity() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.iterations()

ea.nf.iterations()

Produces NamedFunction<POCPopulationState<?, ?, ?, ?, ?>, Long>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.iterations() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.lasts()

ea.nf.lasts()

Produces NamedFunction<POCPopulationState<I, G, S, Q, P>, Collection<I>>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.lasts() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.max()

ea.nf.max(collection; s)

Param	Type	Default	Java type
collection	npm	ea.nf.identity()	NamedFunction<X, Collection<T>>
s	s	%s	String

Produces NamedFunction<X, T>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.max() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.median()

ea.nf.median(collection; s)

Param	Type	Default	Java type
collection	npm	ea.nf.identity()	NamedFunction<X, Collection<T>>
s	s	%s	String

Produces NamedFunction<X, T>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.median() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.mids()

ea.nf.mids()

Produces NamedFunction<POCPopulationState<I, G, S, Q, P>, Collection<I>>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.mids() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.min()

ea.nf.min(collection; s)

Param	Type	Default	Java type
collection	npm	ea.nf.identity()	NamedFunction<X, Collection<T>>
s	s	%s	String

Produces NamedFunction<X, T>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.min() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.nth()

ea.nf.nth(list; n; s)

Param	Type	Default	Java type
list	npm	ea.nf.identity()	NamedFunction<? super X, ? extends List<? extends T>>
n	i		int
s	s	%s	String

Produces NamedFunction<? super X, T>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.nth() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.nthItems()

ea.nf.nthItems(list; n; k)

Param	Type	Default	Java type
list	npm	ea.nf.identity()	NamedFunction<X, List<T>>
n	i		int
k	i		int

Produces NamedFunction<X, List<T>>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.nthItems() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.overallTargetDistance()

ea.nf.overallTargetDistance()

Produces NamedFunction<POCPopulationState<I, G, S, Double, P>, Double>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.overallTargetDistance() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.percentile()

ea.nf.percentile(collection; p; s)

Param	Type	Default	Java type
collection	npm	ea.nf.identity()	NamedFunction<X, Collection<T>>
p	d		double
s	s	%s	String

Produces NamedFunction<X, T>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.percentile() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.progress()

ea.nf.progress()

Produces NamedFunction<POCPopulationState<?, ?, ?, ?, ?>, Double>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.progress() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.quantized()

ea.nf.quantized(f; r; s)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, N>
r	d		double
s	s	%s	String

Produces NamedFunction<X, Double>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.quantized() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.runKey()

ea.nf.runKey(runKey)

Param	Type	Default	Java type
runKey	npm		Map$Entry<String, String>

Produces NamedFunction<Run<?, ?, ?, ?>, ?>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.runKey() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.size()

ea.nf.size(f; s)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, ?>
s	s	%s	String

Produces NamedFunction<X, Integer>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.size() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.solution()

ea.nf.solution(individual; s)

Param	Type	Default	Java type
individual	npm	ea.nf.identity()	NamedFunction<X, Individual<?, S, ?>>
s	s	%s	String

Produces NamedFunction<X, S>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.solution() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.subList()

ea.nf.subList(list; n; i)

Param	Type	Default	Java type
list	npm	ea.nf.identity()	NamedFunction<X, List<T>>
n	i		int
i	i		int

Produces NamedFunction<X, List<T>>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.subList() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.targetDistances()

ea.nf.targetDistances(individual; problem)

Param	Type	Default	Java type
individual	npm	ea.nf.identity()	NamedFunction<X, Individual<?, S, ?>>
problem	npm		MultiTargetProblem<S>

Produces NamedFunction<X, List<Double>>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.targetDistances() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.uniqueness()

ea.nf.uniqueness(collection)

Param	Type	Default	Java type
collection	npm	ea.nf.identity()	NamedFunction<X, Collection<T>>

Produces NamedFunction<X, Double>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.uniqueness() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.namedFunctions.validationFitness()

ea.nf.validationFitness(individual; s)

Param	Type	Default	Java type
individual	npm	ea.nf.best()	NamedFunction<POCPopulationState<I, G, S, Q, P>, Individual<?, S, ?>>
s	s	%s	String

Produces NamedFunction<POCPopulationState<I, G, S, Q, P>, Q>; built from io.github.ericmedvet.jgea.experimenter.builders.NamedFunctions.validationFitness() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.plot

Builder ea.plot.biObjectivePopulation()

ea.plot.biObjectivePopulation(titleRunKey; predicateValue; condition; xRange; yRange; unique)

Param	Type	Default	Java type
titleRunKey	npm	ea.misc.sEntry(value = "Fronts of {solver.name} on {problem.name} (seed={randomGenerator.seed})"; key = title)	Map$Entry<String, String>
predicateValue	npm	ea.nf.iterations()	NamedFunction<POCPopulationState<Individual<G, S, List<Double>>, G, S, List<Double>, ?>, X>
condition	npm	ea.predicate.always()	Predicate<X>
xRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
yRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
unique	b	true	boolean

Produces XYDataSeriesSEPAF<POCPopulationState<Individual<G, S, List<Double>>, G, S, List<Double>, P>, Run<?, G, S, List<Double>>, X, Individual<G, S, List<Double>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.biObjectivePopulation() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.plot.dyPlot()

ea.plot.dyPlot(titleRunKey; x; y; xRange; yRange)

Param	Type	Default	Java type
titleRunKey	npm	ea.misc.sEntry(value = "{solver.name} on {problem.name} (seed={randomGenerator.seed})"; key = title)	Map$Entry<String, String>
x	npm	ea.nf.iterations()	NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>
y	npm		NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>
xRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
yRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange

Produces XYDataSeriesSRPAF<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.dyPlot() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.plot.elapsed()

ea.plot.elapsed(titleRunKey; x; y; xRange; yRange)

Param	Type	Default	Java type
titleRunKey	npm	ea.misc.sEntry(value = "Elapsed time of {solver.name} on {problem.name} (seed={randomGenerator.seed})"; key = title)	Map$Entry<String, String>
x	npm	ea.nf.iterations()	NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>
y	npm	ea.nf.elapsed()	NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>
xRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
yRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange

Produces XYDataSeriesSRPAF<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.elapsed() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.plot.fitness()

ea.plot.fitness(titleRunKey; x; collection; f; xRange; yRange; sort; s)

Param	Type	Default	Java type
titleRunKey	npm	ea.misc.sEntry(value = "Best fitness of {solver.name} on {problem.name} (seed={randomGenerator.seed})"; key = title)	Map$Entry<String, String>
x	npm	ea.nf.iterations()	NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>
collection	npm	ea.nf.all()	NamedFunction<POCPopulationState<?, G, S, Q, ?>, Collection<Individual<G, S, Q>>>
f	npm	ea.nf.identity()	NamedFunction<Q, Double>
xRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
yRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
sort	e	MIN	Plots$Sorting
s	s	%.2f	String

Produces XYDataSeriesSRPAF<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.fitness() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.plot.fitnessBoxplotMatrix()

ea.plot.fitnessBoxplotMatrix(xSubplotRunKey; ySubplotRunKey; lineRunKey; yFunction; predicateValue; condition; yRange)

Param	Type	Default	Java type
xSubplotRunKey	npm	ea.misc.sEntry(value = "_"; key = none)	Map$Entry<String, String>
ySubplotRunKey	npm	ea.misc.sEntry(value = "{problem.name}"; key = problem)	Map$Entry<String, String>
lineRunKey	npm	ea.misc.sEntry(value = "{solver.name}"; key = solver)	Map$Entry<String, String>
yFunction	npm	ea.nf.bestFitness()	NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>
predicateValue	npm	ea.nf.progress()	NamedFunction<POCPopulationState<?, G, S, Q, ?>, X>
condition	npm	ea.predicate.gtEq(t = 1)	Predicate<X>
yRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange

Produces DistributionMRPAF<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>, String, X>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.fitnessBoxplotMatrix() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.plot.fitnessPlotMatrix()

ea.plot.fitnessPlotMatrix(xSubplotRunKey; ySubplotRunKey; lineRunKey; xFunction; yFunction; valueAggregator; minAggregator; maxAggregator; xRange; yRange)

Param	Type	Default	Java type
xSubplotRunKey	npm	ea.misc.sEntry(value = "_"; key = none)	Map$Entry<String, String>
ySubplotRunKey	npm	ea.misc.sEntry(value = "{problem.name}"; key = problem)	Map$Entry<String, String>
lineRunKey	npm	ea.misc.sEntry(value = "{solver.name}"; key = solver)	Map$Entry<String, String>
xFunction	npm	ea.nf.evals()	NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>
yFunction	npm	ea.nf.bestFitness()	NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>
valueAggregator	npm	ea.nf.median(collection = ea.nf.identity())	NamedFunction<List<Number>, Number>
minAggregator	npm	ea.nf.percentile(p = 0.25; collection = ea.nf.identity())	NamedFunction<List<Number>, Number>
maxAggregator	npm	ea.nf.percentile(p = 0.75; collection = ea.nf.identity())	NamedFunction<List<Number>, Number>
xRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
yRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange

Produces AggregatedXYDataSeriesMRPAF<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>, String>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.fitnessPlotMatrix() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.plot.gridPopulation()

ea.plot.gridPopulation(titleRunKey; individualFunctions; predicateValue; condition; valueRange; unique)

Param	Type	Default	Java type
titleRunKey	npm	ea.misc.sEntry(value = "Population grid of {solver.name} on {problem.name} (seed={randomGenerator.seed})"; key = title)	Map$Entry<String, String>
individualFunctions	npm[]	[ea.nf.fitness()]	List<NamedFunction<? super Individual<G, S, Q>, ? extends Number>>
predicateValue	npm	ea.nf.iterations()	NamedFunction<GridPopulationState<G, S, Q, ?>, X>
condition	npm	ea.predicate.always()	Predicate<X>
valueRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
unique	b	true	boolean

Produces UnivariateGridSEPAF<GridPopulationState<G, S, Q, ?>, Run<?, G, S, Q>, X, Individual<G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.gridPopulation() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.plot.landscape()

ea.plot.landscape(titleRunKey; predicateValue; mapper; condition; xRange; yRange; valueRange; unique)

Param	Type	Default	Java type
titleRunKey	npm	ea.misc.sEntry(value = "Landscape of {solver.name} on {problem.name} (seed={randomGenerator.seed})"; key = title)	Map$Entry<String, String>
predicateValue	npm	ea.nf.iterations()	NamedFunction<POCPopulationState<Individual<List<Double>, S, Double>, List<Double>, S, Double, ?>, X>
mapper	npm	ea.m.identity()	InvertibleMapper<List<Double>, S>
condition	npm	ea.predicate.always()	Predicate<X>
xRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
yRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
valueRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
unique	b	true	boolean

Produces LandscapeSEPAF<POCPopulationState<Individual<List<Double>, S, Double>, List<Double>, S, Double, P>, Run<?, List<Double>, S, Double>, X, Individual<List<Double>, S, Double>>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.landscape() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.plot.mapElitesPopulation()

ea.plot.mapElitesPopulation(titleRunKey; individualFunctions; predicateValue; condition; valueRange; unique)

Param	Type	Default	Java type
titleRunKey	npm	ea.misc.sEntry(value = "Map of elites of {solver.name} on {problem.name} (seed={randomGenerator.seed})"; key = title)	Map$Entry<String, String>
individualFunctions	npm[]	[ea.nf.fitness()]	List<NamedFunction<? super Individual<G, S, Q>, ? extends Number>>
predicateValue	npm	ea.nf.iterations()	NamedFunction<MEPopulationState<G, S, Q, ?>, X>
condition	npm	ea.predicate.always()	Predicate<X>
valueRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
unique	b	true	boolean

Produces UnivariateGridSEPAF<MEPopulationState<G, S, Q, ?>, Run<?, G, S, Q>, X, Individual<G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.mapElitesPopulation() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.plot.uniqueness()

ea.plot.uniqueness(titleRunKey; x; ys; xRange; yRange)

Param	Type	Default	Java type
titleRunKey	npm	ea.misc.sEntry(value = "Uniqueness of {solver.name} on {problem.name} (seed={randomGenerator.seed})"; key = title)	Map$Entry<String, String>
x	npm	ea.nf.iterations()	NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>
ys	npm[]	[ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.genotype())), ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.solution())), ea.nf.uniqueness(collection = ea.nf.each(collection = ea.nf.all(); map = ea.nf.fitness()))]	List<NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>>
xRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
yRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange

Produces XYDataSeriesSRPAF<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.uniqueness() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.plot.xyPlot()

ea.plot.xyPlot(titleRunKey; x; y; xRange; yRange)

Param	Type	Default	Java type
titleRunKey	npm	ea.misc.sEntry(value = "{solver.name} on {problem.name} (seed={randomGenerator.seed})"; key = title)	Map$Entry<String, String>
x	npm		NamedFunction<? super E, ? extends Number>
y	npm		NamedFunction<? super E, ? extends Number>
xRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
yRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange

Produces XYDataSeriesSRPAF<E, Run<?, G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.xyPlot() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.plot.xyPlotMatrix()

ea.plot.xyPlotMatrix(xSubplotRunKey; ySubplotRunKey; lineRunKey; xFunction; yFunction; valueAggregator; minAggregator; maxAggregator; xRange; yRange)

Param	Type	Default	Java type
xSubplotRunKey	npm	ea.misc.sEntry(value = "_"; key = none)	Map$Entry<String, String>
ySubplotRunKey	npm	ea.misc.sEntry(value = "{problem}"; key = problem)	Map$Entry<String, String>
lineRunKey	npm	ea.misc.sEntry(value = "{solver.name}"; key = solver)	Map$Entry<String, String>
xFunction	npm		NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>
yFunction	npm		NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>
valueAggregator	npm	ea.nf.median(collection = ea.nf.identity())	NamedFunction<List<Number>, Number>
minAggregator	npm	ea.nf.percentile(p = 0.25; collection = ea.nf.identity())	NamedFunction<List<Number>, Number>
maxAggregator	npm	ea.nf.percentile(p = 0.75; collection = ea.nf.identity())	NamedFunction<List<Number>, Number>
xRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
yRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange

Produces AggregatedXYDataSeriesMRPAF<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>, String>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.xyPlotMatrix() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.plot.xysPlot()

ea.plot.xysPlot(titleRunKey; x; ys; xRange; yRange)

Param	Type	Default	Java type
titleRunKey	npm	ea.misc.sEntry(value = "{solver.name} on {problem.name} (seed={randomGenerator.seed})"; key = title)	Map$Entry<String, String>
x	npm		NamedFunction<? super E, ? extends Number>
ys	npm[]	[]	List<NamedFunction<? super E, ? extends Number>>
xRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
yRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange

Produces XYDataSeriesSRPAF<E, Run<?, G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.xysPlot() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.plot.yPlot()

ea.plot.yPlot(titleRunKey; x; y; xRange; yRange)

Param	Type	Default	Java type
titleRunKey	npm	ea.misc.sEntry(value = "{solver.name} on {problem.name} (seed={randomGenerator.seed})"; key = title)	Map$Entry<String, String>
x	npm	ea.nf.iterations()	NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>
y	npm		NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>
xRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
yRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange

Produces XYDataSeriesSRPAF<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.yPlot() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.plot.ysPlot()

ea.plot.ysPlot(titleRunKey; x; ys; xRange; yRange)

Param	Type	Default	Java type
titleRunKey	npm	ea.misc.sEntry(value = "{solver.name} on {problem.name} (seed={randomGenerator.seed})"; key = title)	Map$Entry<String, String>
x	npm	ea.nf.iterations()	NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>
ys	npm[]	[]	List<NamedFunction<? super POCPopulationState<?, G, S, Q, ?>, ? extends Number>>
xRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange
yRange	npm	ds.range(min = -Infinity; max = Infinity)	DoubleRange

Produces XYDataSeriesSRPAF<POCPopulationState<?, G, S, Q, ?>, Run<?, G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Plots.ysPlot() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.predicate

Builder ea.predicate.all()

ea.predicate.all(conditions)

Param	Type	Default	Java type
conditions	npm[]	[]	List<Predicate<X>>

Produces Predicate<X>; built from io.github.ericmedvet.jgea.experimenter.builders.Predicates.all() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.predicate.always()

ea.predicate.always()

Produces Predicate<?>; built from io.github.ericmedvet.jgea.experimenter.builders.Predicates.always() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.predicate.any()

ea.predicate.any(conditions)

Param	Type	Default	Java type
conditions	npm[]	[]	List<Predicate<X>>

Produces Predicate<X>; built from io.github.ericmedvet.jgea.experimenter.builders.Predicates.any() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.predicate.eq()

ea.predicate.eq(f; v)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, T>
v	npm		T

Produces Predicate<X>; built from io.github.ericmedvet.jgea.experimenter.builders.Predicates.eq() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.predicate.gt()

ea.predicate.gt(f; t)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, ? extends Number>
t	d		double

Produces Predicate<X>; built from io.github.ericmedvet.jgea.experimenter.builders.Predicates.gt() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.predicate.gtEq()

ea.predicate.gtEq(f; t)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, ? extends Number>
t	d		double

Produces Predicate<X>; built from io.github.ericmedvet.jgea.experimenter.builders.Predicates.gtEq() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.predicate.inD()

ea.predicate.inD(f; values)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, Double>
values	d[]	[]	List<Double>

Produces Predicate<X>; built from io.github.ericmedvet.jgea.experimenter.builders.Predicates.inD() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.predicate.inI()

ea.predicate.inI(f; values)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, Integer>
values	i[]	[]	List<Integer>

Produces Predicate<X>; built from io.github.ericmedvet.jgea.experimenter.builders.Predicates.inI() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.predicate.inL()

ea.predicate.inL(f; values)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, Long>
values	i[]	[]	List<Integer>

Produces Predicate<X>; built from io.github.ericmedvet.jgea.experimenter.builders.Predicates.inL() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.predicate.inS()

ea.predicate.inS(f; values)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, String>
values	s[]	[]	List<String>

Produces Predicate<X>; built from io.github.ericmedvet.jgea.experimenter.builders.Predicates.inS() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.predicate.lt()

ea.predicate.lt(f; t)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, ? extends Number>
t	d		double

Produces Predicate<X>; built from io.github.ericmedvet.jgea.experimenter.builders.Predicates.lt() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.predicate.ltEq()

ea.predicate.ltEq(f; t)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, ? extends Number>
t	d		double

Produces Predicate<X>; built from io.github.ericmedvet.jgea.experimenter.builders.Predicates.ltEq() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.predicate.matches()

ea.predicate.matches(f; regex)

Param	Type	Default	Java type
f	npm	ea.nf.identity()	NamedFunction<X, String>
regex	s		String

Produces Predicate<X>; built from io.github.ericmedvet.jgea.experimenter.builders.Predicates.matches() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.problem

Aliases: ea.p, ea.problem

Builder ea.problem.mhoProblem()

ea.p.mhoProblem(name; mtProblem)

Param	Type	Default	Java type
name	s	interpolate mt2mo({mtProblem.name})	String
mtProblem	npm		MultiTargetProblem<S>

Produces MultiHomogeneousObjectiveProblem<S, Double>; built from io.github.ericmedvet.jgea.experimenter.builders.Problems.mhoProblem() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.totalOrder()

ea.p.totalOrder(name; qFunction; cFunction; type)

Param	Type	Default	Java type
name	s	to	String
qFunction	npm		NamedFunction<S, Q>
cFunction	npm	ea.f.identity()	NamedFunction<Q, C>
type	e	MINIMIZE	Problems$OptimizationType

Produces TotalOrderQualityBasedProblem<S, Q>; built from io.github.ericmedvet.jgea.experimenter.builders.Problems.totalOrder() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.problem.control

Aliases: ea.p.c, ea.p.control, ea.problem.c, ea.problem.control

Builder ea.problem.control.navigation()

ea.p.c.navigation(name; initialRobotXRange; initialRobotYRange; initialRobotDirection; targetXRange; targetYRange; robotRadius; robotMaxV; sensorsAngleRange; nOfSensors; sensorRange; senseTarget; dT; finalT; arena; metric; seed)

Param	Type	Default	Java type
name	s	interpolate nav-{arena}	String
initialRobotXRange	npm	ds.range(min = 0.45; max = 0.55)	DoubleRange
initialRobotYRange	npm	ds.range(min = 0.8; max = 0.85)	DoubleRange
initialRobotDirection	npm	ds.range(min = 0; max = 0)	DoubleRange
targetXRange	npm	ds.range(min = 0.5; max = 0.5)	DoubleRange
targetYRange	npm	ds.range(min = 0.15; max = 0.15)	DoubleRange
robotRadius	d	0.05	double
robotMaxV	d	0.01	double
sensorsAngleRange	npm	ds.range(min = -1.57; max = 1.57)	DoubleRange
nOfSensors	i	5	int
sensorRange	d	0.5	double
senseTarget	b	true	boolean
dT	d	0.1	double
finalT	d	100.0	double
arena	e	EMPTY	Arena$Prepared
metric	e	AVG_DISTANCE	Navigation$Metric
seed	i	1	int

Produces Navigation<?>; built from io.github.ericmedvet.jgea.experimenter.builders.ControlProblems.navigation() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.problem.dataset.numerical

Aliases: ea.p.d.num, ea.p.d.numerical, ea.p.dataset.num, ea.p.dataset.numerical, ea.problem.d.num, ea.problem.d.numerical, ea.problem.dataset.num, ea.problem.dataset.numerical

Builder ea.problem.dataset.numerical.empty()

ea.p.d.num.empty(xVars; yVars)

Param	Type	Default	Java type
xVars	s[]	[]	List<String>
yVars	s[]	[]	List<String>

Produces Supplier<NumericalDataset>; built from io.github.ericmedvet.jgea.experimenter.builders.NumericalDatasets.empty() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.dataset.numerical.fromFile()

ea.p.d.num.fromFile(filePath; folds; nFolds; xVarNamePattern; yVarNamePattern)

Param	Type	Default	Java type
filePath	s		String
folds	i[]	[0]	List<Integer>
nFolds	i	1	int
xVarNamePattern	s	x.*	String
yVarNamePattern	s	y.*	String

Produces Supplier<NumericalDataset>; built from io.github.ericmedvet.jgea.experimenter.builders.NumericalDatasets.fromFile() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.dataset.numerical.fromProblem()

ea.p.d.num.fromProblem(problem)

Param	Type	Default	Java type
problem	npm		UnivariateRegressionProblem<UnivariateRegressionFitness>

Produces Supplier<NumericalDataset>; built from io.github.ericmedvet.jgea.experimenter.builders.NumericalDatasets.fromProblem() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.problem.multivariateRegression

Aliases: ea.p.mr, ea.p.multivariateRegression, ea.problem.mr, ea.problem.multivariateRegression

Builder ea.problem.multivariateRegression.fromData()

ea.p.mr.fromData(trainingDataset; testDataset; metric)

Param	Type	Default	Java type
trainingDataset	npm		Supplier<NumericalDataset>
testDataset	npm	ea.d.num.empty()	Supplier<NumericalDataset>
metric	e	MSE	UnivariateRegressionFitness$Metric

Produces MultivariateRegressionProblem<MultivariateRegressionFitness>; built from io.github.ericmedvet.jgea.experimenter.builders.MultivariateRegressionProblems.fromData() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.problem.synthetic

Aliases: ea.p.s, ea.p.synthetic, ea.problem.s, ea.problem.synthetic

Builder ea.problem.synthetic.ackley()

ea.p.s.ackley(name; p)

Param	Type	Default	Java type
name	s	interpolate ackley-{p}	String
p	i	100	int

Produces Ackley; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.ackley() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.bentCigar()

ea.p.s.bentCigar(name; p)

Param	Type	Default	Java type
name	s	interpolate bentCigar-{p}	String
p	i	100	int

Produces BentCigar; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.bentCigar() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.charShapeApproximation()

ea.p.s.charShapeApproximation(name; target; translation; smoothed; weighted)

Param	Type	Default	Java type
name	s	shape-{target}	String
target	s		String
translation	b	true	boolean
smoothed	b	true	boolean
weighted	b	true	boolean

Produces CharShapeApproximation; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.charShapeApproximation() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.circularPointsAiming()

ea.p.s.circularPointsAiming(name; p; n; radius; center; seed)

Param	Type	Default	Java type
name	s	interpolate circularPointsAiming-{p}-{n}	String
p	i	100	int
n	i	5	int
radius	d	0.5	double
center	d	1.0	double
seed	i	1	int

Produces CircularPointsAiming; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.circularPointsAiming() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.discus()

ea.p.s.discus(name; p)

Param	Type	Default	Java type
name	s	interpolate discus-{p}	String
p	i	100	int

Produces Discus; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.discus() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.gaussianMixture2D()

ea.p.s.gaussianMixture2D(name; targets; c)

Param	Type	Default	Java type
name	s	gm2D	String
targets	d[]	[-3.0, -2.0, 2.0, 2.0, 2.0, 1.0]	List<Double>
c	d	1.0	double

Produces GaussianMixture2D; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.gaussianMixture2D() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.highConditionedElliptic()

ea.p.s.highConditionedElliptic(name; p)

Param	Type	Default	Java type
name	s	interpolate highConditionedElliptic-{p}	String
p	i	100	int

Produces HighConditionedElliptic; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.highConditionedElliptic() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.intOneMax()

ea.p.s.intOneMax(name; p; upperBound)

Param	Type	Default	Java type
name	s	interpolate iOneMax-{p}	String
p	i	100	int
upperBound	i	100	int

Produces IntOneMax; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.intOneMax() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.linearPoints()

ea.p.s.linearPoints(name; p)

Param	Type	Default	Java type
name	s	interpolate lPoints-{p}	String
p	i	100	int

Produces LinearPoints; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.linearPoints() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.multiModalIntOneMax()

ea.p.s.multiModalIntOneMax(name; p; upperBound; nOfTargets)

Param	Type	Default	Java type
name	s	interpolate mmIOneMax-{p}-{nOfTargets}	String
p	i	100	int
upperBound	i	10	int
nOfTargets	i	3	int

Produces MultiModalIntOneMax; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.multiModalIntOneMax() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.multiObjectiveIntOneMax()

ea.p.s.multiObjectiveIntOneMax(name; p; upperBound)

Param	Type	Default	Java type
name	s	interpolate moIOneMax-{p}	String
p	i	100	int
upperBound	i	3	int

Produces MultiObjectiveIntOneMax; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.multiObjectiveIntOneMax() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.oneMax()

ea.p.s.oneMax(name; p)

Param	Type	Default	Java type
name	s	interpolate oneMax-{p}	String
p	i	100	int

Produces OneMax; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.oneMax() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.pointAiming()

ea.p.s.pointAiming(name; p; target)

Param	Type	Default	Java type
name	s	interpolate pointAiming-{p}	String
p	i	100	int
target	d	1.0	double

Produces PointsAiming; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.pointAiming() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.rastrigin()

ea.p.s.rastrigin(name; p)

Param	Type	Default	Java type
name	s	interpolate rastrigin-{p}	String
p	i	100	int

Produces Rastrigin; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.rastrigin() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.rosenbrock()

ea.p.s.rosenbrock(name; p)

Param	Type	Default	Java type
name	s	interpolate rosenbrock-{p}	String
p	i	100	int

Produces Rosenbrock; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.rosenbrock() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.synthetic.sphere()

ea.p.s.sphere(name; p)

Param	Type	Default	Java type
name	s	interpolate sphere-{p}	String
p	i	100	int

Produces Sphere; built from io.github.ericmedvet.jgea.experimenter.builders.SyntheticProblems.sphere() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.problem.univariateRegression

Aliases: ea.p.univariateRegression, ea.p.ur, ea.problem.univariateRegression, ea.problem.ur

Builder ea.problem.univariateRegression.bundled()

ea.p.ur.bundled(name; metric; xScaling; yScaling)

Param	Type	Default	Java type
name	s		String
metric	e	MSE	UnivariateRegressionFitness$Metric
xScaling	e	NONE	NumericalDataset$Scaling
yScaling	e	NONE	NumericalDataset$Scaling

Produces UnivariateRegressionProblem<UnivariateRegressionFitness>; built from io.github.ericmedvet.jgea.experimenter.builders.UnivariateRegressionProblems.bundled() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.univariateRegression.fromData()

ea.p.ur.fromData(name; trainingDataset; testDataset; metric; xScaling; yScaling)

Param	Type	Default	Java type
name	s	dataset	String
trainingDataset	npm		Supplier<NumericalDataset>
testDataset	npm	ea.d.num.empty()	Supplier<NumericalDataset>
metric	e	MSE	UnivariateRegressionFitness$Metric
xScaling	e	NONE	NumericalDataset$Scaling
yScaling	e	NONE	NumericalDataset$Scaling

Produces UnivariateRegressionProblem<UnivariateRegressionFitness>; built from io.github.ericmedvet.jgea.experimenter.builders.UnivariateRegressionProblems.fromData() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.problem.univariateRegression.synthetic()

ea.p.ur.synthetic(name; metric; seed)

Param	Type	Default	Java type
name	s		String
metric	e	MSE	UnivariateRegressionFitness$Metric
seed	i	1	int

Produces SyntheticUnivariateRegressionProblem; built from io.github.ericmedvet.jgea.experimenter.builders.UnivariateRegressionProblems.synthetic() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.randomGenerator

Aliases: ea.randomGenerator, ea.rg

Builder ea.randomGenerator.defaultRG()

ea.rg.defaultRG(seed)

Param	Type	Default	Java type
seed	i	0	int

Produces RandomGenerator; built from io.github.ericmedvet.jgea.experimenter.builders.RandomGenerators.defaultRG() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.representation

Aliases: ea.r, ea.representation

Builder ea.representation.bitString()

ea.r.bitString(crossoverP; pMutRate)

Param	Type	Default	Java type
crossoverP	d	0.8	double
pMutRate	d	1.0	double

Produces Function<BitString, Representation<BitString>>; built from io.github.ericmedvet.jgea.experimenter.builders.Representations.bitString() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.representation.doubleString()

ea.r.doubleString(initialMinV; initialMaxV; crossoverP; sigmaMut)

Param	Type	Default	Java type
initialMinV	d	-1.0	double
initialMaxV	d	1.0	double
crossoverP	d	0.8	double
sigmaMut	d	0.35	double

Produces Function<List<Double>, Representation<List<Double>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Representations.doubleString() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.representation.intString()

ea.r.intString(crossoverP; pMutRate)

Param	Type	Default	Java type
crossoverP	d	0.8	double
pMutRate	d	1.0	double

Produces Function<IntString, Representation<IntString>>; built from io.github.ericmedvet.jgea.experimenter.builders.Representations.intString() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.representation.multiSRTree()

ea.r.multiSRTree(constants; operators; minTreeH; maxTreeH; crossoverP)

Param	Type	Default	Java type
constants	d[]	[0.1, 1.0, 10.0]	List<Double>
operators	e[]	[+, -, *, p/, plog]	List<Element$Operator>
minTreeH	i	4	int
maxTreeH	i	10	int
crossoverP	d	0.8	double

Produces Function<List<Tree<Element>>, Representation<List<Tree<Element>>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Representations.multiSRTree() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.representation.srTree()

ea.r.srTree(constants; operators; minTreeH; maxTreeH; crossoverP)

Param	Type	Default	Java type
constants	d[]	[0.1, 1.0, 10.0]	List<Double>
operators	e[]	[+, -, *, p/, plog]	List<Element$Operator>
minTreeH	i	4	int
maxTreeH	i	10	int
crossoverP	d	0.8	double

Produces Function<Tree<Element>, Representation<Tree<Element>>>; built from io.github.ericmedvet.jgea.experimenter.builders.Representations.srTree() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.solver

Aliases: ea.s, ea.solver

Builder ea.solver.cabea()

ea.s.cabea(name; representation; mapper; keepProbability; crossoverP; nTour; nEval; toroidal; mooreRadius; gridSize; substrate)

Param	Type	Default	Java type
name	s	cabea	String
representation	npm		Function<G, Representation<G>>
mapper	npm	ea.m.identity()	InvertibleMapper<G, S>
keepProbability	d	0.0	double
crossoverP	d	0.8	double
nTour	i	1	int
nEval	i	1000	int
toroidal	b	true	boolean
mooreRadius	i	1	int
gridSize	i	11	int
substrate	e	EMPTY	SubstrateFiller$Predefined

Produces Function<S, CellularAutomataBasedSolver<G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Solvers.cabea() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.solver.cmaEs()

ea.s.cmaEs(name; mapper; initialMinV; initialMaxV; nEval)

Param	Type	Default	Java type
name	s	cmaEs	String
mapper	npm	ea.m.identity()	InvertibleMapper<List<Double>, S>
initialMinV	d	-1.0	double
initialMaxV	d	1.0	double
nEval	i	1000	int

Produces Function<S, CMAEvolutionaryStrategy<S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Solvers.cmaEs() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.solver.differentialEvolution()

ea.s.differentialEvolution(name; mapper; initialMinV; initialMaxV; populationSize; nEval; differentialWeight; crossoverP; remap)

Param	Type	Default	Java type
name	s	de	String
mapper	npm	ea.m.identity()	InvertibleMapper<List<Double>, S>
initialMinV	d	-1.0	double
initialMaxV	d	1.0	double
populationSize	i	15	int
nEval	i	1000	int
differentialWeight	d	0.5	double
crossoverP	d	0.8	double
remap	b	false	boolean

Produces Function<S, DifferentialEvolution<S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Solvers.differentialEvolution() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.solver.ga()

ea.s.ga(name; representation; mapper; crossoverP; tournamentRate; minNTournament; nPop; nEval; maxUniquenessAttempts; remap)

Param	Type	Default	Java type
name	s	ga	String
representation	npm		Function<G, Representation<G>>
mapper	npm	ea.m.identity()	InvertibleMapper<G, S>
crossoverP	d	0.8	double
tournamentRate	d	0.05	double
minNTournament	i	3	int
nPop	i	100	int
nEval	i	1000	int
maxUniquenessAttempts	i	100	int
remap	b	false	boolean

Produces Function<S, StandardEvolver<G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Solvers.ga() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.solver.mapElites()

ea.s.mapElites(name; representation; mapper; nPop; nEval; descriptors)

Param	Type	Default	Java type
name	s	me	String
representation	npm		Function<G, Representation<G>>
mapper	npm	ea.m.identity()	InvertibleMapper<G, S>
nPop	i	100	int
nEval	i	1000	int
descriptors	npm[]	[]	List<MapElites$Descriptor<G, S, Q>>

Produces Function<S, MapElites<G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Solvers.mapElites() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.solver.nsga2()

ea.s.nsga2(name; representation; mapper; crossoverP; nPop; nEval; maxUniquenessAttempts; remap)

Param	Type	Default	Java type
name	s	nsga2	String
representation	npm		Function<G, Representation<G>>
mapper	npm	ea.m.identity()	InvertibleMapper<G, S>
crossoverP	d	0.8	double
nPop	i	100	int
nEval	i	1000	int
maxUniquenessAttempts	i	100	int
remap	b	false	boolean

Produces Function<S, NsgaII<G, S>>; built from io.github.ericmedvet.jgea.experimenter.builders.Solvers.nsga2() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.solver.oGraphea()

ea.s.oGraphea(name; mapper; minConst; maxConst; nConst; operators; nPop; nEval; arcAdditionRate; arcRemovalRate; nodeAdditionRate; nPop; rankBase; remap)

Param	Type	Default	Java type
name	s	oGraphea	String
mapper	npm	ea.m.identity()	InvertibleMapper<Graph<Node, OperatorGraph$NonValuedArc>, S>
minConst	d	0.0	double
maxConst	d	5.0	double
nConst	i	10	int
operators	e[]	[+, -, *, p/, plog]	List<BaseOperator>
nPop	i	100	int
nEval	i	1000	int
arcAdditionRate	d	3.0	double
arcRemovalRate	d	0.1	double
nodeAdditionRate	d	1.0	double
nPop	i	5	int
rankBase	d	0.75	double
remap	b	false	boolean

Produces Function<S, SpeciatedEvolver<Graph<Node, OperatorGraph$NonValuedArc>, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Solvers.oGraphea() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.solver.openAiEs()

ea.s.openAiEs(name; mapper; initialMinV; initialMaxV; sigma; batchSize; nEval)

Param	Type	Default	Java type
name	s	openAiEs	String
mapper	npm	ea.m.identity()	InvertibleMapper<List<Double>, S>
initialMinV	d	-1.0	double
initialMaxV	d	1.0	double
sigma	d	0.02	double
batchSize	i	30	int
nEval	i	1000	int

Produces Function<S, OpenAIEvolutionaryStrategy<S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Solvers.openAiEs() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.solver.pso()

ea.s.pso(name; mapper; initialMinV; initialMaxV; nEval; nPop; w; phiParticle; phiGlobal)

Param	Type	Default	Java type
name	s	pso	String
mapper	npm	ea.m.identity()	InvertibleMapper<List<Double>, S>
initialMinV	d	-1.0	double
initialMaxV	d	1.0	double
nEval	i	1000	int
nPop	i	100	int
w	d	0.8	double
phiParticle	d	1.5	double
phiGlobal	d	1.5	double

Produces Function<S, ParticleSwarmOptimization<S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Solvers.pso() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.solver.randomSearch()

ea.s.randomSearch(name; representation; mapper; nEval)

Param	Type	Default	Java type
name	s	rs	String
representation	npm		Function<G, Representation<G>>
mapper	npm	ea.m.identity()	InvertibleMapper<G, S>
nEval	i	1000	int

Produces Function<S, RandomSearch<G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Solvers.randomSearch() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.solver.randomWalk()

ea.s.randomWalk(name; representation; mapper; nEval)

Param	Type	Default	Java type
name	s	rw	String
representation	npm		Function<G, Representation<G>>
mapper	npm	ea.m.identity()	InvertibleMapper<G, S>
nEval	i	1000	int

Produces Function<S, RandomWalk<G, S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Solvers.randomWalk() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.solver.simpleEs()

ea.s.simpleEs(name; mapper; initialMinV; initialMaxV; sigma; parentsRate; nOfElites; nPop; nEval; remap)

Param	Type	Default	Java type
name	s	es	String
mapper	npm	ea.m.identity()	InvertibleMapper<List<Double>, S>
initialMinV	d	-1.0	double
initialMaxV	d	1.0	double
sigma	d	0.35	double
parentsRate	d	0.33	double
nOfElites	i	1	int
nPop	i	30	int
nEval	i	1000	int
remap	b	false	boolean

Produces Function<S, SimpleEvolutionaryStrategy<S, Q>>; built from io.github.ericmedvet.jgea.experimenter.builders.Solvers.simpleEs() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package ea.solver.mapelites.descriptor

Aliases: ea.s.mapelites.d, ea.s.mapelites.descriptor, ea.s.me.d, ea.s.me.descriptor, ea.solver.mapelites.d, ea.solver.mapelites.descriptor, ea.solver.me.d, ea.solver.me.descriptor

Builder ea.solver.mapelites.descriptor.ofFitness()

ea.s.me.d.ofFitness(f; min; max; nOfBins)

Param	Type	Default	Java type
f	npm		NamedFunction<Q, Double>
min	d	0.0	double
max	d	1.0	double
nOfBins	i	20	int

Produces MapElites$Descriptor<G, S, Q>; built from io.github.ericmedvet.jgea.experimenter.builders.MapElitesDescriptors.ofFitness() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.solver.mapelites.descriptor.ofGenotype()

ea.s.me.d.ofGenotype(f; min; max; nOfBins)

Param	Type	Default	Java type
f	npm		NamedFunction<G, Double>
min	d	0.0	double
max	d	1.0	double
nOfBins	i	20	int

Produces MapElites$Descriptor<G, S, Q>; built from io.github.ericmedvet.jgea.experimenter.builders.MapElitesDescriptors.ofGenotype() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Builder ea.solver.mapelites.descriptor.ofSolution()

ea.s.me.d.ofSolution(f; min; max; nOfBins)

Param	Type	Default	Java type
f	npm		NamedFunction<S, Double>
min	d	0.0	double
max	d	1.0	double
nOfBins	i	20	int

Produces MapElites$Descriptor<G, S, Q>; built from io.github.ericmedvet.jgea.experimenter.builders.MapElitesDescriptors.ofSolution() by jgea-experimenter:2.5.2-SNAPSHOT:2024-02-26T23:37:48Z

Package evorobots

Aliases: er, evorobots

Builder evorobots.doublesRandomizer()

er.doublesRandomizer(randomGenerator; range)

Param	Type	Default	Java type
randomGenerator	npm	sim.defaultRG()	RandomGenerator
range	npm	sim.range(min = -1; max = 1)	DoubleRange

Produces Function<List<Double>, List<Double>>; built from io.github.ericmedvet.robotevo2d.main.builders.Misc.doublesRandomizer() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.fromBase64()

er.fromBase64(s)

Param	Type	Default	Java type
s	s		String

Produces Function<Object, Object>; built from io.github.ericmedvet.robotevo2d.main.builders.Misc.fromBase64() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.fromRunOutcome()

er.fromRunOutcome(filePath; index)

Param	Type	Default	Java type
filePath	s		String
index	i	0	int

Produces Function<Object, Object>; built from io.github.ericmedvet.robotevo2d.main.builders.Misc.fromRunOutcome() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.play()

er.play(name; genotype; mapper; task; engine; consumers; outcomeFunctions)

Param	Type	Default	Java type
name	s	``	String
genotype	npm	ea.f.identity()	Function<G, G>
mapper	npm		InvertibleMapper<G, S>
task	npm		Task<S, O>
engine	npm	sim.engine()	Supplier<Engine>
consumers	npm[]	[]	List<PlayConsumers$ProducingConsumer>
outcomeFunctions	npm[]	[]	List<NamedFunction<?, ?>>

Produces Play; built from io.github.ericmedvet.robotevo2d.main.Play() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.video()

er.video(filePathTemplate; titleTemplate; w; h; frameRate; startTime; endTime; codec; drawer; task; engine; individual)

Param	Type	Default	Java type
filePathTemplate	s	video-{index:%04d}.mp4	String
titleTemplate	s	run.index={index:%04d}	String
w	i	600	int
h	i	400	int
frameRate	d	30.0	double
startTime	d	0.0	double
endTime	d	30.0	double
codec	e	JCODEC	VideoUtils$EncoderFacility
drawer	npm	sim.drawer()	Function<String, Drawer>
task	npm		Task<A, ?>
engine	npm	sim.engine()	Supplier<Engine>
individual	npm	ea.nf.best()	Function<POCPopulationState<?, ?, A, ?, ?>, Individual<?, A, ?>>

Produces AccumulatorFactory<POCPopulationState<?, ?, A, ?, ?>, File, Run<?, ?, A, ?>>; built from io.github.ericmedvet.robotevo2d.main.builders.Misc.video() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Package evorobots.consumer

Aliases: er.c, er.consumer, evorobots.c, evorobots.consumer

Builder evorobots.consumer.frames()

er.c.frames(title; drawer; w; h; nOfFrames; deltaT; startTime; filePath)

Param	Type	Default	Java type
title	s		String
drawer	npm	sim.drawer()	Function<String, Drawer>
w	i	600	int
h	i	400	int
nOfFrames	i	5	int
deltaT	d	0.2	double
startTime	d	0.0	double
filePath	s		String

Produces PlayConsumers$ProducingConsumer; built from io.github.ericmedvet.robotevo2d.main.builders.PlayConsumers.frames() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.consumer.rtGUI()

er.c.rtGUI(title; drawer; frameRate)

Param	Type	Default	Java type
title	s		String
drawer	npm	sim.drawer()	Function<String, Drawer>
frameRate	d	30.0	double

Produces PlayConsumers$ProducingConsumer; built from io.github.ericmedvet.robotevo2d.main.builders.PlayConsumers.rtGUI() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.consumer.video()

er.c.video(title; drawer; w; h; frameRate; startTime; endTime; codec; filePath)

Param	Type	Default	Java type
title	s	``	String
drawer	npm	sim.drawer()	Function<String, Drawer>
w	i	600	int
h	i	400	int
frameRate	d	30.0	double
startTime	d	0.0	double
endTime	d	30.0	double
codec	e	JCODEC	VideoUtils$EncoderFacility
filePath	s		String

Produces Consumer<Snapshot>; built from io.github.ericmedvet.robotevo2d.main.builders.PlayConsumers.video() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Package evorobots.dynamicalSystem.numerical

Aliases: er.ds.num, er.ds.numerical, er.dynSys.num, er.dynSys.numerical, er.dynamicalSystem.num, er.dynamicalSystem.numerical, evorobots.ds.num, evorobots.ds.numerical, evorobots.dynSys.num, evorobots.dynSys.numerical, evorobots.dynamicalSystem.num, evorobots.dynamicalSystem.numerical

Builder evorobots.dynamicalSystem.numerical.ioSaver()

er.ds.num.ioSaver(initT; finalT; inner; filePath)

Param	Type	Default	Java type
initT	d	0.0	double
finalT	d	30.0	double
inner	npm		NumericalDynamicalSystems$Builder<? extends NumericalDynamicalSystem<S>, S>
filePath	s		String

Produces NumericalDynamicalSystems$Builder<IOSaver<S>, S>; built from io.github.ericmedvet.robotevo2d.main.builders.NumericalDynamicalSystems.ioSaver() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.dynamicalSystem.numerical.oGraphMRF()

er.ds.num.oGraphMRF(postOperator)

Param	Type	Default	Java type
postOperator	e	IDENTITY	MultiLayerPerceptron$ActivationFunction

Produces NumericalDynamicalSystems$Builder<NamedMultivariateRealFunction, StatelessSystem$State>; built from io.github.ericmedvet.robotevo2d.main.builders.NumericalDynamicalSystems.oGraphMRF() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.dynamicalSystem.numerical.treeMRF()

er.ds.num.treeMRF(postOperator)

Param	Type	Default	Java type
postOperator	e	IDENTITY	MultiLayerPerceptron$ActivationFunction

Produces NumericalDynamicalSystems$Builder<NamedMultivariateRealFunction, StatelessSystem$State>; built from io.github.ericmedvet.robotevo2d.main.builders.NumericalDynamicalSystems.treeMRF() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Package evorobots.listener

Aliases: er.l, er.listener, evorobots.l, evorobots.listener

Builder evorobots.listener.videoSaver()

er.l.videoSaver(videos)

Param	Type	Default	Java type
videos	npm[]	[]	List<AccumulatorFactory<POCPopulationState<?, ?, A, ?, ?>, File, Run<?, ?, A, ?>>>

Produces BiFunction<Experiment, ExecutorService, ListenerFactory<POCPopulationState<?, ?, A, ?, ?>, Run<?, ?, A, ?>>>; built from io.github.ericmedvet.robotevo2d.main.builders.Listeners.videoSaver() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Package evorobots.mapper

Aliases: er.m, er.mapper, evorobots.m, evorobots.mapper

Builder evorobots.mapper.intStringReactiveGridVSR()

er.m.intStringReactiveGridVSR(w; h; availableVoxels)

Param	Type	Default	Java type
w	i		int
h	i		int
availableVoxels	npm[]	[]	List<Supplier<ReactiveGridVSR$ReactiveVoxel>>

Produces InvertibleMapper<IntString, Supplier<ReactiveGridVSR>>; built from io.github.ericmedvet.robotevo2d.main.builders.Mappers.intStringReactiveGridVSR() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.mapper.nmrfReactiveGridVSR()

er.m.nmrfReactiveGridVSR(w; h; availableVoxels)

Param	Type	Default	Java type
w	i		int
h	i		int
availableVoxels	npm[]	[]	List<Supplier<ReactiveGridVSR$ReactiveVoxel>>

Produces InvertibleMapper<NamedMultivariateRealFunction, Supplier<ReactiveGridVSR>>; built from io.github.ericmedvet.robotevo2d.main.builders.Mappers.nmrfReactiveGridVSR() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.mapper.numericalParametrizedHeteroBrains()

er.m.numericalParametrizedHeteroBrains(target)

Param	Type	Default	Java type
target	npm		T

Produces InvertibleMapper<List<Double>, Supplier<T>>; built from io.github.ericmedvet.robotevo2d.main.builders.Mappers.numericalParametrizedHeteroBrains() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.mapper.numericalParametrizedHomoBrains()

er.m.numericalParametrizedHomoBrains(target)

Param	Type	Default	Java type
target	npm		T

Produces InvertibleMapper<List<Double>, Supplier<T>>; built from io.github.ericmedvet.robotevo2d.main.builders.Mappers.numericalParametrizedHomoBrains() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.mapper.oGraphParametrizedHomoBrains()

er.m.oGraphParametrizedHomoBrains(target)

Param	Type	Default	Java type
target	npm		T

Produces InvertibleMapper<Graph<Node, OperatorGraph$NonValuedArc>, Supplier<T>>; built from io.github.ericmedvet.robotevo2d.main.builders.Mappers.oGraphParametrizedHomoBrains() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.mapper.treeParametrizedHomoBrains()

er.m.treeParametrizedHomoBrains(target)

Param	Type	Default	Java type
target	npm		T

Produces InvertibleMapper<List<Tree<Element>>, Supplier<T>>; built from io.github.ericmedvet.robotevo2d.main.builders.Mappers.treeParametrizedHomoBrains() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Package evorobots.namedFunction

Aliases: er.namedFunction, er.nf, evorobots.namedFunction, evorobots.nf

Builder evorobots.namedFunction.compactness()

er.nf.compactness(f)

Param	Type	Default	Java type
f	npm		NamedFunction<X, Grid<GridBody$Element>>

Produces NamedFunction<X, Double>; built from io.github.ericmedvet.robotevo2d.main.builders.NamedFunctions.compactness() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.namedFunction.count()

er.nf.count(f)

Param	Type	Default	Java type
f	npm		NamedFunction<X, Grid<GridBody$Element>>

Produces NamedFunction<X, Integer>; built from io.github.ericmedvet.robotevo2d.main.builders.NamedFunctions.count() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.namedFunction.elongation()

er.nf.elongation(f)

Param	Type	Default	Java type
f	npm		NamedFunction<X, Grid<GridBody$Element>>

Produces NamedFunction<X, Double>; built from io.github.ericmedvet.robotevo2d.main.builders.NamedFunctions.elongation() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.namedFunction.f()

er.nf.f(inner; name; s)

Param	Type	Default	Java type
inner	npm		Function<T, R>
name	s		String
s	s	%s	String

Produces NamedFunction<T, R>; built from io.github.ericmedvet.robotevo2d.main.builders.NamedFunctions.f() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.namedFunction.gridBody()

er.nf.gridBody(f)

Param	Type	Default	Java type
f	npm		NamedFunction<X, Supplier<AbstractGridVSR>>

Produces NamedFunction<X, Grid<GridBody$Element>>; built from io.github.ericmedvet.robotevo2d.main.builders.NamedFunctions.gridBody() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.namedFunction.h()

er.nf.h(f)

Param	Type	Default	Java type
f	npm		NamedFunction<X, Grid<GridBody$Element>>

Produces NamedFunction<X, Integer>; built from io.github.ericmedvet.robotevo2d.main.builders.NamedFunctions.h() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.namedFunction.stringBase64()

er.nf.stringBase64(f)

Param	Type	Default	Java type
f	npm		NamedFunction<X, Serializable>

Produces NamedFunction<X, String>; built from io.github.ericmedvet.robotevo2d.main.builders.NamedFunctions.stringBase64() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Builder evorobots.namedFunction.w()

er.nf.w(f)

Param	Type	Default	Java type
f	npm		NamedFunction<X, Grid<GridBody$Element>>

Produces NamedFunction<X, Integer>; built from io.github.ericmedvet.robotevo2d.main.builders.NamedFunctions.w() by robotevo2d-main:1.4.0:2024-02-27T20:20:30Z

Package sim

Aliases: s, sim

Builder sim.allAgentsFramer()

s.allAgentsFramer(enlargement; followTime)

Param	Type	Default	Java type
enlargement	d	1.5	double
followTime	d	2.0	double

Produces Framer<Snapshot>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Misc.allAgentsFramer() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.defaultRG()

s.defaultRG(seed)

Param	Type	Default	Java type
seed	i	0	int

Produces RandomGenerator; built from io.github.ericmedvet.mrsim2d.buildable.builders.Misc.defaultRG() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.drawer()

s.drawer(framer; profilingTime; miniWorldEnlargement; miniWorld; components; miniAgents; engineProfiling; actions; info; nfc)

Param	Type	Default	Java type
framer	npm	s.allAgentsFramer()	Framer<Snapshot>
profilingTime	d	1.0	double
miniWorldEnlargement	d	10.0	double
miniWorld	b	false	boolean
components	e[]	[UNMOVABLE_BODIES, SOFT_BODIES, RIGID_BODIES, ROTATIONAL_JOINTS]	List<Drawers$Component>
miniAgents	e	BRAINS	Misc$MiniAgentInfo
engineProfiling	b	false	boolean
actions	b	false	boolean
info	b	true	boolean
nfc	b	false	boolean

Produces Function<String, Drawer>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Misc.drawer() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.engine()

s.engine()

Produces Supplier<Engine>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Misc.engine() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.range()

s.range(min; max)

Param	Type	Default	Java type
min	d		double
max	d		double

Produces DoubleRange; built from io.github.ericmedvet.mrsim2d.buildable.builders.Misc.range() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.staticFramer()

s.staticFramer(minX; maxX; minY; maxY)

Param	Type	Default	Java type
minX	d		double
maxX	d		double
minY	d		double
maxY	d		double

Produces Framer<Snapshot>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Misc.staticFramer() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.supplier()

s.supplier(of)

Param	Type	Default	Java type
of	npm		T

Produces Supplier<T>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Misc.supplier() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.taskRunner()

s.taskRunner(task; engine)

Param	Type	Default	Java type
task	npm		Task<A, O>
engine	npm	sim.engine()	Supplier<Engine>

Produces Function<A, O>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Misc.taskRunner() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Package sim.agent

Aliases: s.a, s.agent, sim.a, sim.agent

Builder sim.agent.centralizedNumGridVSR()

s.a.centralizedNumGridVSR(body; function)

Param	Type	Default	Java type
body	npm		GridBody
function	npm		NumericalDynamicalSystems$Builder<?, ?>

Produces CentralizedNumGridVSR; built from io.github.ericmedvet.mrsim2d.buildable.builders.Agents.centralizedNumGridVSR() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.distributedNumGridVSR()

s.a.distributedNumGridVSR(body; function; signals; directional)

Param	Type	Default	Java type
body	npm		GridBody
function	npm		NumericalDynamicalSystems$Builder<?, ?>
signals	i		int
directional	b	false	boolean

Produces DistributedNumGridVSR; built from io.github.ericmedvet.mrsim2d.buildable.builders.Agents.distributedNumGridVSR() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.numIndependentVoxel()

s.a.numIndependentVoxel(sensors; areaActuation; attachActuation; nOfNFCChannels; function)

Param	Type	Default	Java type
sensors	npm[]	[]	List<Sensor<? super Voxel>>
areaActuation	e	SIDES	NumIndependentVoxel$AreaActuation
attachActuation	b	true	boolean
nOfNFCChannels	i	1	int
function	npm		NumericalDynamicalSystems$Builder<?, ?>

Produces NumIndependentVoxel; built from io.github.ericmedvet.mrsim2d.buildable.builders.Agents.numIndependentVoxel() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.numLeggedHybridModularRobot()

s.a.numLeggedHybridModularRobot(modules; function)

Param	Type	Default	Java type
modules	npm[]	[]	List<AbstractLeggedHybridModularRobot$Module>
function	npm		NumericalDynamicalSystems$Builder<?, ?>

Produces NumLeggedHybridModularRobot; built from io.github.ericmedvet.mrsim2d.buildable.builders.Agents.numLeggedHybridModularRobot() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.numLeggedHybridRobot()

s.a.numLeggedHybridRobot(legs; trunkLength; trunkWidth; trunkMass; headMass; headSensors; function)

Param	Type	Default	Java type
legs	npm[]	[]	List<AbstractLeggedHybridRobot$Leg>
trunkLength	d	24.0	double
trunkWidth	d	1.0	double
trunkMass	d	24.0	double
headMass	d	1.0	double
headSensors	npm[]	[]	List<Sensor<?>>
function	npm		NumericalDynamicalSystems$Builder<?, ?>

Produces NumLeggedHybridRobot; built from io.github.ericmedvet.mrsim2d.buildable.builders.Agents.numLeggedHybridRobot() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.reactiveGridVSR()

s.a.reactiveGridVSR(body)

Param	Type	Default	Java type
body	npm		Grid<ReactiveGridVSR$ReactiveVoxel>

Produces ReactiveGridVSR; built from io.github.ericmedvet.mrsim2d.buildable.builders.Agents.reactiveGridVSR() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Package sim.agent.legged

Aliases: s.a.l, s.a.legged, s.agent.l, s.agent.legged, sim.a.l, sim.a.legged, sim.agent.l, sim.agent.legged

Builder sim.agent.legged.leg()

s.a.l.leg(legChunks; downConnectorMass; downConnector; downConnectorSensors)

Param	Type	Default	Java type
legChunks	npm[]	[]	List<LegChunk>
downConnectorMass	d	1.1025	double
downConnector	e	RIGID	ConnectorType
downConnectorSensors	npm[]	[]	List<Sensor<?>>

Produces AbstractLeggedHybridRobot$Leg; built from io.github.ericmedvet.mrsim2d.buildable.builders.LeggedMisc.leg() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.legged.legChunk()

s.a.l.legChunk(length; width; mass; upConnector; jointSensors; motorMaxSpeed; motorMaxTorque; motorControlP; motorControlI; motorControlD; motorAngleTolerance; activeAngleRange)

Param	Type	Default	Java type
length	d	1.05	double
width	d	1.0	double
mass	d	1.05	double
upConnector	e	RIGID	ConnectorType
jointSensors	npm[]	[]	List<Sensor<?>>
motorMaxSpeed	d	20.0	double
motorMaxTorque	d	1000.0	double
motorControlP	d	10.0	double
motorControlI	d	2.0	double
motorControlD	d	2.0	double
motorAngleTolerance	d	0.0	double
activeAngleRange	npm	sim.range(min = -1.047; max = 1.047)	DoubleRange

Produces LegChunk; built from io.github.ericmedvet.mrsim2d.buildable.builders.LeggedMisc.legChunk() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.legged.module()

s.a.l.module(trunkLength; trunkWidth; trunkMass; legChunks; downConnector; rightConnector; trunkSensors; rightConnectorSensors; downConnectorSensors)

Param	Type	Default	Java type
trunkLength	d	6.0	double
trunkWidth	d	1.0	double
trunkMass	d	6.0	double
legChunks	npm[]	[]	List<LegChunk>
downConnector	e	RIGID	ConnectorType
rightConnector	e	RIGID	ConnectorType
trunkSensors	npm[]	[]	List<Sensor<?>>
rightConnectorSensors	npm[]	[]	List<Sensor<?>>
downConnectorSensors	npm[]	[]	List<Sensor<?>>

Produces AbstractLeggedHybridModularRobot$Module; built from io.github.ericmedvet.mrsim2d.buildable.builders.LeggedMisc.module() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Package sim.agent.vsr

Aliases: s.a.vsr, s.agent.vsr, sim.a.vsr, sim.agent.vsr

Builder sim.agent.vsr.gridBody()

s.a.vsr.gridBody(shape; sensorizingFunction)

Param	Type	Default	Java type
shape	npm		Grid<GridBody$VoxelType>
sensorizingFunction	npm		Function<Grid<Boolean>, Grid<List<Sensor<? super Body>>>>

Produces GridBody; built from io.github.ericmedvet.mrsim2d.buildable.builders.VSRMisc.gridBody() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Package sim.agent.vsr.reactiveVoxel

Aliases: s.a.vsr.reactiveVoxel, s.a.vsr.rv, s.agent.vsr.reactiveVoxel, s.agent.vsr.rv, sim.a.vsr.reactiveVoxel, sim.a.vsr.rv, sim.agent.vsr.reactiveVoxel, sim.agent.vsr.rv

Builder sim.agent.vsr.reactiveVoxel.aa()

s.a.vsr.rv.aa(angle; action)

Param	Type	Default	Java type
angle	d	0.0	double
action	e	EXPAND	ReactiveVoxels$Action

Produces ReactiveGridVSR$ReactiveVoxel; built from io.github.ericmedvet.mrsim2d.buildable.builders.ReactiveVoxels.aa() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.reactiveVoxel.asin()

s.a.vsr.rv.asin(f)

Param	Type	Default	Java type
f	d	1.0	double

Produces ReactiveGridVSR$ReactiveVoxel; built from io.github.ericmedvet.mrsim2d.buildable.builders.ReactiveVoxels.asin() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.reactiveVoxel.asld()

s.a.vsr.rv.asld(duration; threshold; action)

Param	Type	Default	Java type
duration	d	0.2	double
threshold	d	0.05	double
action	e	EXPAND	ReactiveVoxels$Action

Produces ReactiveGridVSR$ReactiveVoxel; built from io.github.ericmedvet.mrsim2d.buildable.builders.ReactiveVoxels.asld() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.reactiveVoxel.at()

s.a.vsr.rv.at(duration; range; side; action)

Param	Type	Default	Java type
duration	d	0.2	double
range	d	1.0	double
side	e	S	Voxel$Side
action	e	EXPAND	ReactiveVoxels$Action

Produces ReactiveGridVSR$ReactiveVoxel; built from io.github.ericmedvet.mrsim2d.buildable.builders.ReactiveVoxels.at() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.reactiveVoxel.none()

s.a.vsr.rv.none()

Produces ReactiveGridVSR$ReactiveVoxel; built from io.github.ericmedvet.mrsim2d.buildable.builders.ReactiveVoxels.none() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.reactiveVoxel.ph()

s.a.vsr.rv.ph()

Produces ReactiveGridVSR$ReactiveVoxel; built from io.github.ericmedvet.mrsim2d.buildable.builders.ReactiveVoxels.ph() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.reactiveVoxel.ps()

s.a.vsr.rv.ps()

Produces ReactiveGridVSR$ReactiveVoxel; built from io.github.ericmedvet.mrsim2d.buildable.builders.ReactiveVoxels.ps() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Package sim.agent.vsr.sensorizingFunction

Aliases: s.a.vsr.sensorizingFunction, s.a.vsr.sf, s.agent.vsr.sensorizingFunction, s.agent.vsr.sf, sim.a.vsr.sensorizingFunction, sim.a.vsr.sf, sim.agent.vsr.sensorizingFunction, sim.agent.vsr.sf

Builder sim.agent.vsr.sensorizingFunction.directional()

s.a.vsr.sf.directional(nSensors; eSensors; sSensors; wSensors; headSensors)

Param	Type	Default	Java type
nSensors	npm[]	[]	List<Sensor<? super Voxel>>
eSensors	npm[]	[]	List<Sensor<? super Voxel>>
sSensors	npm[]	[]	List<Sensor<? super Voxel>>
wSensors	npm[]	[]	List<Sensor<? super Voxel>>
headSensors	npm[]	[]	List<Sensor<? super Voxel>>

Produces Function<Grid<Boolean>, Grid<List<Sensor<? super Voxel>>>>; built from io.github.ericmedvet.mrsim2d.buildable.builders.VSRSensorizingFunctions.directional() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.sensorizingFunction.empty()

s.a.vsr.sf.empty()

Produces Function<Grid<Boolean>, Grid<List<Sensor<? super Voxel>>>>; built from io.github.ericmedvet.mrsim2d.buildable.builders.VSRSensorizingFunctions.empty() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.sensorizingFunction.uniform()

s.a.vsr.sf.uniform(sensors)

Param	Type	Default	Java type
sensors	npm[]	[]	List<Sensor<? super Voxel>>

Produces Function<Grid<Boolean>, Grid<List<Sensor<? super Voxel>>>>; built from io.github.ericmedvet.mrsim2d.buildable.builders.VSRSensorizingFunctions.uniform() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Package sim.agent.vsr.shape

Aliases: s.a.vsr.s, s.a.vsr.shape, s.agent.vsr.s, s.agent.vsr.shape, sim.a.vsr.s, sim.a.vsr.shape, sim.agent.vsr.s, sim.agent.vsr.shape

Builder sim.agent.vsr.shape.ball()

s.a.vsr.s.ball(d)

Param	Type	Default	Java type
d	i		Integer

Produces Grid<GridBody$VoxelType>; built from io.github.ericmedvet.mrsim2d.buildable.builders.GridShapes.ball() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.shape.biped()

s.a.vsr.s.biped(w; h)

Param	Type	Default	Java type
w	i		Integer
h	i		Integer

Produces Grid<GridBody$VoxelType>; built from io.github.ericmedvet.mrsim2d.buildable.builders.GridShapes.biped() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.shape.comb()

s.a.vsr.s.comb(w; h)

Param	Type	Default	Java type
w	i		Integer
h	i		Integer

Produces Grid<GridBody$VoxelType>; built from io.github.ericmedvet.mrsim2d.buildable.builders.GridShapes.comb() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.shape.free()

s.a.vsr.s.free(s)

Param	Type	Default	Java type
s	s	rsr-s.s	String

Produces Grid<GridBody$VoxelType>; built from io.github.ericmedvet.mrsim2d.buildable.builders.GridShapes.free() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.shape.t()

s.a.vsr.s.t(w; h)

Param	Type	Default	Java type
w	i		Integer
h	i		Integer

Produces Grid<GridBody$VoxelType>; built from io.github.ericmedvet.mrsim2d.buildable.builders.GridShapes.t() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.shape.triangle()

s.a.vsr.s.triangle(l)

Param	Type	Default	Java type
l	i		Integer

Produces Grid<GridBody$VoxelType>; built from io.github.ericmedvet.mrsim2d.buildable.builders.GridShapes.triangle() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.shape.tripod()

s.a.vsr.s.tripod(w; h)

Param	Type	Default	Java type
w	i		Integer
h	i		Integer

Produces Grid<GridBody$VoxelType>; built from io.github.ericmedvet.mrsim2d.buildable.builders.GridShapes.tripod() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.agent.vsr.shape.worm()

s.a.vsr.s.worm(w; h)

Param	Type	Default	Java type
w	i		Integer
h	i		Integer

Produces Grid<GridBody$VoxelType>; built from io.github.ericmedvet.mrsim2d.buildable.builders.GridShapes.worm() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Package sim.sensors

Aliases: s.s, s.sensors, sim.s, sim.sensors

Builder sim.sensors.a()

s.s.a()

Produces Sensor<Body>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Sensors.a() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.sensors.ar()

s.s.ar()

Produces Sensor<Body>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Sensors.ar() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.sensors.c()

s.s.c()

Produces Sensor<Body>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Sensors.c() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.sensors.d()

s.s.d(a; r)

Param	Type	Default	Java type
a	d	0.0	Double
r	d	1.0	Double

Produces Sensor<Body>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Sensors.d() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.sensors.ja()

s.s.ja()

Produces Sensor<RotationalJoint>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Sensors.ja() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.sensors.rv()

s.s.rv(a)

Param	Type	Default	Java type
a	d	0.0	Double

Produces Sensor<Body>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Sensors.rv() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.sensors.sa()

s.s.sa(s)

Param	Type	Default	Java type
s	e		Voxel$Side

Produces Sensor<Voxel>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Sensors.sa() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.sensors.sc()

s.s.sc(s)

Param	Type	Default	Java type
s	e		Voxel$Side

Produces Sensor<Voxel>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Sensors.sc() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.sensors.sin()

s.s.sin(f; p)

Param	Type	Default	Java type
f	d	1.0	Double
p	d	0.0	Double

Produces Sensor<Body>; built from io.github.ericmedvet.mrsim2d.buildable.builders.Sensors.sin() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Package sim.task

Aliases: s.task, sim.task

Builder sim.task.balancing()

s.task.balancing(duration; swingLength; swingDensity; supportHeight; initialXGap; initialYGap)

Param	Type	Default	Java type
duration	d	10.0	double
swingLength	d	10.0	double
swingDensity	d	0.1	double
supportHeight	d	1.0	double
initialXGap	d	0.0	double
initialYGap	d	0.1	double

Produces Balancing; built from io.github.ericmedvet.mrsim2d.buildable.builders.Tasks.balancing() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.fallPiling()

s.task.fallPiling(duration; fallInterval; nOfAgents; xSigmaRatio; randomGenerator; terrain; yGapRatio; xGap)

Param	Type	Default	Java type
duration	d	45.0	double
fallInterval	d	5.0	double
nOfAgents	i		int
xSigmaRatio	d	0.1	double
randomGenerator	npm	sim.defaultRG()	RandomGenerator
terrain	npm	sim.terrain.flat()	Terrain
yGapRatio	d	1.0	double
xGap	d	10.0	double

Produces FallPiling; built from io.github.ericmedvet.mrsim2d.buildable.builders.Tasks.fallPiling() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.jumping()

s.task.jumping(duration; initialYGap)

Param	Type	Default	Java type
duration	d	10.0	double
initialYGap	d	0.1	double

Produces Jumping; built from io.github.ericmedvet.mrsim2d.buildable.builders.Tasks.jumping() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.locomotion()

s.task.locomotion(duration; terrain; initialXGap; initialYGap)

Param	Type	Default	Java type
duration	d	30.0	double
terrain	npm	sim.terrain.flat()	Terrain
initialXGap	d	1.0	double
initialYGap	d	0.1	double

Produces Locomotion; built from io.github.ericmedvet.mrsim2d.buildable.builders.Tasks.locomotion() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.prebuiltIndependentLocomotion()

s.task.prebuiltIndependentLocomotion(duration; terrain; initialXGap; initialYGap; shape)

Param	Type	Default	Java type
duration	d	30.0	double
terrain	npm	sim.terrain.flat()	Terrain
initialXGap	d	1.0	double
initialYGap	d	0.1	double
shape	npm		Grid<GridBody$VoxelType>

Produces PrebuiltIndependentLocomotion; built from io.github.ericmedvet.mrsim2d.buildable.builders.Tasks.prebuiltIndependentLocomotion() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.standPiling()

s.task.standPiling(duration; nOfAgents; xGapRatio; terrain; firstXGap; initialYGap)

Param	Type	Default	Java type
duration	d	45.0	double
nOfAgents	i		int
xGapRatio	d	1.0	double
terrain	npm	sim.terrain.flat()	Terrain
firstXGap	d	10.0	double
initialYGap	d	0.1	double

Produces StandPiling; built from io.github.ericmedvet.mrsim2d.buildable.builders.Tasks.standPiling() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Package sim.task.balancing

Aliases: s.task.b, s.task.balancing, sim.task.b, sim.task.balancing

Builder sim.task.balancing.avgSwingAngle()

s.task.b.avgSwingAngle(transientTime)

Param	Type	Default	Java type
transientTime	d	5.0	double

Produces Function<BalancingOutcome, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.BalancingOutcomeFunctions.avgSwingAngle() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.balancing.avgSwingAngleWithMalus()

s.task.b.avgSwingAngleWithMalus(transientTime; malus)

Param	Type	Default	Java type
transientTime	d	5.0	double
malus	d	1.5707963267948966	double

Produces Function<BalancingOutcome, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.BalancingOutcomeFunctions.avgSwingAngleWithMalus() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Package sim.task.jumping

Aliases: s.task.j, s.task.jumping, sim.task.j, sim.task.jumping

Builder sim.task.jumping.avgBBMinY()

s.task.j.avgBBMinY(transientTime)

Param	Type	Default	Java type
transientTime	d	5.0	double

Produces Function<Outcome<?>, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.JumpingOutcomeFunctions.avgBBMinY() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.jumping.avgY()

s.task.j.avgY(transientTime)

Param	Type	Default	Java type
transientTime	d	5.0	double

Produces Function<Outcome<?>, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.JumpingOutcomeFunctions.avgY() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.jumping.maxBBMinY()

s.task.j.maxBBMinY(transientTime)

Param	Type	Default	Java type
transientTime	d	5.0	double

Produces Function<Outcome<?>, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.JumpingOutcomeFunctions.maxBBMinY() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.jumping.maxMaxRelJumpH()

s.task.j.maxMaxRelJumpH(transientTime)

Param	Type	Default	Java type
transientTime	d	5.0	double

Produces Function<Outcome<?>, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.JumpingOutcomeFunctions.maxMaxRelJumpH() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.jumping.maxY()

s.task.j.maxY(transientTime)

Param	Type	Default	Java type
transientTime	d	5.0	double

Produces Function<Outcome<?>, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.JumpingOutcomeFunctions.maxY() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Package sim.task.locomotion

Aliases: s.task.l, s.task.locomotion, sim.task.l, sim.task.locomotion

Builder sim.task.locomotion.avgArea()

s.task.l.avgArea(transientTime)

Param	Type	Default	Java type
transientTime	d	0.0	double

Produces Function<Outcome<?>, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.LocomotionOutcomeFunctions.avgArea() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.locomotion.avgTerrainHeight()

s.task.l.avgTerrainHeight(transientTime)

Param	Type	Default	Java type
transientTime	d	0.0	double

Produces Function<Outcome<?>, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.LocomotionOutcomeFunctions.avgTerrainHeight() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.locomotion.xDistance()

s.task.l.xDistance(transientTime)

Param	Type	Default	Java type
transientTime	d	0.0	double

Produces Function<Outcome<?>, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.LocomotionOutcomeFunctions.xDistance() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.locomotion.xVelocity()

s.task.l.xVelocity(transientTime)

Param	Type	Default	Java type
transientTime	d	0.0	double

Produces Function<Outcome<?>, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.LocomotionOutcomeFunctions.xVelocity() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Package sim.task.piling

Aliases: s.task.p, s.task.piling, sim.task.p, sim.task.piling

Builder sim.task.piling.avgH()

s.task.p.avgH(transientTime)

Param	Type	Default	Java type
transientTime	d	0.0	double

Produces Function<Outcome<?>, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.PilingOutcomeFunctions.avgH() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.piling.avgW()

s.task.p.avgW(transientTime)

Param	Type	Default	Java type
transientTime	d	0.0	double

Produces Function<Outcome<?>, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.PilingOutcomeFunctions.avgW() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.piling.maxH()

s.task.p.maxH(transientTime)

Param	Type	Default	Java type
transientTime	d	0.0	double

Produces Function<Outcome<?>, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.PilingOutcomeFunctions.maxH() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.task.piling.maxW()

s.task.p.maxW(transientTime)

Param	Type	Default	Java type
transientTime	d	0.0	double

Produces Function<Outcome<?>, Double>; built from io.github.ericmedvet.mrsim2d.buildable.builders.PilingOutcomeFunctions.maxW() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Package sim.terrain

Aliases: s.t, s.terrain, sim.t, sim.terrain

Builder sim.terrain.downhill()

s.t.downhill(w; h; borderW; borderH; a)

Param	Type	Default	Java type
w	d	500.0	Double
h	d	25.0	Double
borderW	d	10.0	Double
borderH	d	100.0	Double
a	d	10.0	Double

Produces Terrain; built from io.github.ericmedvet.mrsim2d.buildable.builders.Terrains.downhill() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.terrain.flat()

s.t.flat(w; h; borderW; borderH)

Param	Type	Default	Java type
w	d	500.0	Double
h	d	25.0	Double
borderW	d	10.0	Double
borderH	d	100.0	Double

Produces Terrain; built from io.github.ericmedvet.mrsim2d.buildable.builders.Terrains.flat() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.terrain.hilly()

s.t.hilly(w; h; borderW; borderH; chunkW; chunkH; seed)

Param	Type	Default	Java type
w	d	500.0	Double
h	d	25.0	Double
borderW	d	10.0	Double
borderH	d	100.0	Double
chunkW	d	5.0	Double
chunkH	d	0.75	Double
seed	i	1	Integer

Produces Terrain; built from io.github.ericmedvet.mrsim2d.buildable.builders.Terrains.hilly() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.terrain.steppy()

s.t.steppy(w; h; borderW; borderH; chunkW; chunkH; seed)

Param	Type	Default	Java type
w	d	500.0	Double
h	d	25.0	Double
borderW	d	10.0	Double
borderH	d	100.0	Double
chunkW	d	5.0	Double
chunkH	d	0.75	Double
seed	i	1	Integer

Produces Terrain; built from io.github.ericmedvet.mrsim2d.buildable.builders.Terrains.steppy() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z

Builder sim.terrain.uphill()

s.t.uphill(w; h; borderW; borderH; a)

Param	Type	Default	Java type
w	d	500.0	Double
h	d	25.0	Double
borderW	d	10.0	Double
borderH	d	100.0	Double
a	d	10.0	Double

Produces Terrain; built from io.github.ericmedvet.mrsim2d.buildable.builders.Terrains.uphill() by mrsim2d-buildable:1.0.3-SNAPSHOT:2024-02-26T23:35:43Z