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//package ca.mcgill.ecse.dslreasoner.vampire.test
//
//import hu.bme.mit.inf.dlsreasoner.alloy.reasoner.AlloySolver
//import hu.bme.mit.inf.dlsreasoner.alloy.reasoner.AlloySolverConfiguration
//import hu.bme.mit.inf.dslreasomer.domains.transima.fam.FunctionalArchitecture.FunctionalArchitecturePackage
//import hu.bme.mit.inf.dslreasoner.domains.transima.fam.patterns.Pattern
//import hu.bme.mit.inf.dslreasoner.ecore2logic.EcoreMetamodelDescriptor
//import hu.bme.mit.inf.dslreasoner.logic.model.builder.LogicProblemBuilder
//import hu.bme.mit.inf.dslreasoner.logic.model.builder.LogicReasoner
//import hu.bme.mit.inf.dslreasoner.logic.model.logicproblem.LogicProblem
//import hu.bme.mit.inf.dslreasoner.logic.model.logicresult.LogicResult
//import hu.bme.mit.inf.dslreasoner.logic.model.logicresult.ModelResult
//import hu.bme.mit.inf.dslreasoner.viatra2logic.ViatraQuerySetDescriptor
//import hu.bme.mit.inf.dslreasoner.viatrasolver.partialinterpretationlanguage.partialinterpretation.PartialInterpretation
//import hu.bme.mit.inf.dslreasoner.viatrasolver.partialinterpretationlanguage.visualisation.PartialInterpretation2Gml
//import hu.bme.mit.inf.dslreasoner.workspace.FileSystemWorkspace
//import hu.bme.mit.inf.dslreasoner.workspace.ReasonerWorkspace
//import java.util.LinkedHashMap
//import java.util.List
//import org.eclipse.emf.ecore.EAttribute
//import org.eclipse.emf.ecore.EClass
//import org.eclipse.emf.ecore.EEnum
//import org.eclipse.emf.ecore.EEnumLiteral
//import org.eclipse.emf.ecore.EObject
//import org.eclipse.emf.ecore.EReference
//import org.eclipse.emf.ecore.resource.Resource
//import org.eclipse.emf.ecore.xmi.impl.XMIResourceFactoryImpl
//
//class SimpleRun {
//
// def static void main(String[] args) {
// val inputs = new FileSystemWorkspace('''initialModels/''', "")
// val workspace = new FileSystemWorkspace('''outputModels/''', "")
// workspace.initAndClear
////
//// println("Input and output workspaces are created")
////
//// val metamodel = loadMetamodel()
//// val partialModel = loadPartialModel(inputs)
//// val queries = loadQueries(metamodel)
////
//// println("DSL loaded")
////
//// val Ecore2Logic ecore2Logic = new Ecore2Logic
//// val Logic2Ecore logic2Ecore = new Logic2Ecore(ecore2Logic)
//// val Viatra2Logic viatra2Logic = new Viatra2Logic(ecore2Logic)
//// val InstanceModel2Logic instanceModel2Logic = new InstanceModel2Logic
////
//// val modelGenerationProblem = ecore2Logic.transformMetamodel(metamodel,new Ecore2LogicConfiguration())
//// val modelExtensionProblem = instanceModel2Logic.transform(modelGenerationProblem,partialModel)
//// val validModelExtensionProblem = viatra2Logic.transformQueries(queries,modelGenerationProblem,new Viatra2LogicConfiguration)
////
//// val logicProblem = validModelExtensionProblem.output
//// //*************xmi.save. advntageous cuz seperate and only contains things that are necessary
//// //Write to file. This is importnat to understand
//// //furthermore, output solution1.partialInterpretation contains also the logic probelm
//// //that needs to be solved
////
//// //Logic problem same for vamp,l alloy, viatra. but fr alloy, vamp, it is mapped into the specific ecore metamodel using the xtext.
//// //initial simple example: take one thing (ex. iff) from the logic problem generated for one of the sample examples, try to make it into vampire
//// //xtext (but only the instance model, not the lines of code) to see how mapping will work. Then ishteh use vampire on it to "solve" it.
// // create logic problem
// var extension builder = new LogicProblemBuilder
// var LogicProblem problem = builder.createProblem
//
// val rock = Element("Rock")
// val paper = Element("Paper")
// val scissor = Element("Scissor")
//
// problem.elements += rock
// problem.elements += paper
// problem.elements += scissor
//
//// val red = Element("Red")
//// val green = Element("Green")
////
//// problem.elements += red
//// problem.elements += green
//
//// val allRPS = problem.add(TypeDeclaration("allRPS", true))
// val oldRPS = problem.add(TypeDefinition("oldRPS", false, rock, paper, scissor)) // n+1 axioms, where n is the number of type definitions. 1. rocjk, paper, scissor are all rps. 2. every object is rps
//// val newRPS = problem.add(TypeDeclaration("newRPS", false))
//// val color = problem.add(TypeDefinition("color", false, red, green))
//// Supertype(oldRPS, allRPS)
//// Supertype(newRPS, allRPS)
//
// val beats2 = problem.add(RelationDeclaration("beats2", oldRPS, oldRPS))
// problem.add(Assertion(Forall[
// val x = addVar("x", oldRPS)
// // x.range
// Exists[
// val y = addVar("y", oldRPS)
// beats2.call(x, y)
// ]
// ]))
//
//// val beats = problem.add(RelationDefinition("beats",[
//// val x = addVar("x",RPS)
//// val y = addVar("y",RPS)
//// (x==rock && y==scissor)||(x==scissor && y==paper)||(x==paper && y==rock)
//// ]))
////
//// //below needs to be added as an axiom
//// val beats2 = problem.add(RelationDeclaration("beats2",RPS,RPS))
//// problem.add(Assertion(Forall[
//// val x = addVar("x",RPS)
//// Exists[
//// val y = addVar("y",RPS)
//// beats2.call(x,y)
//// ]
//// ]))
// println("Problem created")
// var LogicResult solution
// var LogicReasoner reasoner
// /*
// * reasoner = new ViatraReasoner
// * val viatraConfig = new ViatraReasonerConfiguration => [
// * it.typeScopes.maxNewElements = 5
// * it.typeScopes.minNewElements = 5
// * it.solutionScope.numberOfRequiredSolution = 1
// * it.existingQueries = queries.patterns.map[it.internalQueryRepresentation]
// * it.debugCongiguration.logging = false
// * it.debugCongiguration.partalInterpretationVisualisationFrequency = 1
// * it.debugCongiguration.partialInterpretatioVisualiser = new GraphvizVisualisation
// * ]
// * solution = reasoner.solve(logicProblem,viatraConfig,workspace)
// /*/
// reasoner = new AlloySolver
// val alloyConfig = new AlloySolverConfiguration => [
// it.typeScopes.maxNewElements = 5
// it.typeScopes.minNewElements = 5
// it.solutionScope.numberOfRequiredSolution = 1
// it.typeScopes.maxNewIntegers = 0
// it.writeToFile = false
// ]
// solution = reasoner.solve(problem, alloyConfig, workspace)
// // */
// // ************
// // since input logic model is also output, we can check out what is the input for alloy and then
// // see what should be input for vampire, as it should be similar to alloy. once i can create the input,
// // that is the first step.
// // look at allo2logic
// // always keep looking at output
// // try to figure out what rule is used
// println("Problem solved")
//
//// val interpretations = reasoner.getInterpretations(solution as ModelResult)
//// val models = new LinkedList
//// for(interpretation : interpretations) {
//// val instanceModel = logic2Ecore.transformInterpretation(interpretation,modelGenerationProblem.trace)
//// models+=instanceModel
//// }
////
//// solution.writeSolution(workspace, #[])
// }
//
// def private static loadMetamodel() {
// val pckg = FunctionalArchitecturePackage.eINSTANCE
// val List<EClass> classes = pckg.EClassifiers.filter(EClass).toList
// val List<EEnum> enums = pckg.EClassifiers.filter(EEnum).toList
// val List<EEnumLiteral> literals = enums.map[ELiterals].flatten.toList
// val List<EReference> references = classes.map[EReferences].flatten.toList
// val List<EAttribute> attributes = classes.map[EAttributes].flatten.toList
// return new EcoreMetamodelDescriptor(classes, #{}, false, enums, literals, references, attributes)
// }
//
// def private static loadQueries(EcoreMetamodelDescriptor metamodel) {
// val i = Pattern.instance
// val patterns = i.specifications.toList
// val wfPatterns = patterns.filter[it.allAnnotations.exists[it.name == "Constraint"]].toSet
// val derivedFeatures = new LinkedHashMap
// derivedFeatures.put(i.type.internalQueryRepresentation, metamodel.attributes.filter[it.name == "type"].head)
// derivedFeatures.put(i.model.internalQueryRepresentation, metamodel.references.filter[it.name == "model"].head)
// val res = new ViatraQuerySetDescriptor(
// patterns,
// wfPatterns,
// derivedFeatures
// )
// return res
// }
//
// def static loadPartialModel(ReasonerWorkspace inputs) {
// Resource.Factory.Registry.INSTANCE.getExtensionToFactoryMap().put("*", new XMIResourceFactoryImpl());
// inputs.readModel(EObject, "FAM.xmi").eResource.allContents.toList
// }
//
// def static writeSolution(LogicResult solution, ReasonerWorkspace workspace, List<EObject> models) {
// if (solution instanceof ModelResult) {
// val representations = solution.representation
// for (representationIndex : 0 ..< representations.size) {
// val representation = representations.get(representationIndex)
// val representationNumber = representationIndex + 1
// if (representation instanceof PartialInterpretation) {
// workspace.writeModel(representation, '''solution«representationNumber».partialinterpretation''')
// val partialInterpretation2GML = new PartialInterpretation2Gml
// val gml = partialInterpretation2GML.transform(representation)
// // ecore2GML.transform(root)
// workspace.writeText('''solutionVisualisation.gml''', gml)
//
// } else {
// workspace.writeText('''solution«representationNumber».txt''', representation.toString)
// }
// }
// for (model : models) {
// workspace.writeModel(model, "model.xmi")
// }
// println("Solution saved and visualised")
// }
// }
//
// def static visualizeSolution() {
// }
//}
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