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package ca.mcgill.ecse.dslreasoner.vampire.reasoner.builder
import ca.mcgill.ecse.dslreasoner.vampire.reasoner.VampireSolverConfiguration
import ca.mcgill.ecse.dslreasoner.vampireLanguage.VLSTerm
import ca.mcgill.ecse.dslreasoner.vampireLanguage.VLSVariable
import ca.mcgill.ecse.dslreasoner.vampireLanguage.VampireLanguageFactory
import hu.bme.mit.inf.dslreasoner.logic.model.logiclanguage.Type
import hu.bme.mit.inf.dslreasoner.logic.model.logiclanguage.TypeDefinition
import java.util.ArrayList
import java.util.HashMap
import java.util.List
import java.util.Map
import static extension hu.bme.mit.inf.dslreasoner.util.CollectionsUtil.*
class Logic2VampireLanguageMapper_ScopeMapper {
private val extension VampireLanguageFactory factory = VampireLanguageFactory.eINSTANCE
private val Logic2VampireLanguageMapper_Support support = new Logic2VampireLanguageMapper_Support
val Logic2VampireLanguageMapper base
private val VLSVariable variable = createVLSVariable => [it.name = "A"]
public new(Logic2VampireLanguageMapper base) {
this.base = base
}
def dispatch public void transformScope(List<Type> types, VampireSolverConfiguration config, Logic2VampireLanguageMapperTrace trace) {
val ABSOLUTE_MIN = 0
val ABSOLUTE_MAX = Integer.MAX_VALUE
// TODO HANDLE ERRORS RELATED TO MAX > MIN
// TODO HANDLE ERROR RELATED TO SUM(MIN TYPES)+1(for root) > MAX OBJECTS
// TODO HANDLE
// 1. make a list of constants equaling the min number of specified objects
//These numbers do not include enums or initial model elements
//Number of defined non-abstract elements that are not enum elements
//Equals the number of elements in te initial model
var elemsInIM = trace.definedElement2String.size
// var elemsInIM = 0
//
// for(t : types.filter(TypeDefinition).filter[!isIsAbstract]) {
// val len = t.name.length
// val isNotEnum = !t.name.substring(len-4, len).equals("enum")
// if (isNotEnum) {
// elemsInIM += 1
// }
// }
//TODO handle errors related to GLOBAL_MIN/MAX < 0
val GLOBAL_MIN = config.typeScopes.minNewElements-elemsInIM
val GLOBAL_MAX = config.typeScopes.maxNewElements-elemsInIM
val localInstances = newArrayList
val consistant = GLOBAL_MAX > GLOBAL_MIN
// Handling Minimum_General
if (GLOBAL_MIN != ABSOLUTE_MIN) {
getInstanceConstants(GLOBAL_MIN, 0, localInstances, trace, true, !consistant)
if (consistant) {
for (i : trace.uniqueInstances) {
localInstances.add(support.duplicate(i))
}
makeFofFormula(localInstances, trace, true, null)
} else {
makeFofFormula(trace.uniqueInstances as ArrayList, trace, true, null)
}
}
// Handling Maximum_General
if (GLOBAL_MAX != ABSOLUTE_MAX) {
getInstanceConstants(GLOBAL_MAX, 0, localInstances, trace, true, consistant)
if (consistant) {
makeFofFormula(trace.uniqueInstances as ArrayList, trace, false, null)
} else {
makeFofFormula(localInstances, trace, false, null)
}
}
// Handling Minimum_Specific
var i = 1
if (trace.topLvlElementIsInInitialModel as Boolean){
i = 0
}
var minNum = -1
var Map<Type, Integer> startPoints = new HashMap
// var inIM = false
for (tConfig : config.typeScopes.minNewElementsByType.keySet) {
// var numIniIntModel = 0
// for (elem : trace.definedElement2String.keySet) {
// println(elem.definedInType)
// for (tDefined : elem.definedInType) {
// inIM = support.dfsSubtypeCheck(tConfig, tDefined) || tConfig.equals(tDefined)
// }
// if (inIM) {
// numIniIntModel += 1
// }
// inIM = false
// }
minNum = tConfig.lookup(config.typeScopes.minNewElementsByType)//-numIniIntModel
if (minNum != 0) {
getInstanceConstants(i + minNum, i, localInstances, trace, true, false)
startPoints.put(tConfig, i)
i += minNum
makeFofFormula(localInstances, trace, true, tConfig)
}
}
// TODO: calc sum of mins, compare to current value of i
// Handling Maximum_Specific
for (tConfig : config.typeScopes.maxNewElementsByType.keySet) {
// var numIniIntModel = 0
// for (elem : trace.definedElement2String.keySet) {
// println(elem.definedInType)
// for (tDefined : elem.definedInType) {
// inIM = support.dfsSubtypeCheck(tConfig, tDefined) || tConfig.equals(tDefined)
// }
// if (inIM) {
// numIniIntModel += 1
// }
// inIM = false
// }
var maxNum = tConfig.lookup(config.typeScopes.maxNewElementsByType)//-numIniIntModel
minNum = tConfig.lookup(config.typeScopes.minNewElementsByType)//-numIniIntModel
var startpoint = tConfig.lookup(startPoints)
if (minNum != 0) {
getInstanceConstants(startpoint + minNum, startpoint, localInstances, trace, true, false)
}
//I do not understand the line below
if (maxNum != minNum) {
var instEndInd = Math.min(GLOBAL_MAX, i + maxNum - minNum)
getInstanceConstants(instEndInd, i, localInstances, trace, false, false)
makeFofFormula(localInstances, trace, false, tConfig)
}
}
// 3. Specify uniqueness of elements
// TEMP
val DUPLICATES = config.uniquenessDuplicates
val numInst = trace.uniqueInstances.length
var ind = 1
if (numInst != 0) {
if (DUPLICATES) {
// W/ DUPLICATES
for (e : trace.uniqueInstances) {
val x = ind
val uniqueness = createVLSFofFormula => [
it.name = support.toIDMultiple("t_uniqueness", e.name)
it.fofRole = "axiom"
it.fofFormula = support.establishUniqueness(trace.uniqueInstances, e)
]
trace.specification.formulas += uniqueness
ind++
}
} else {
// W/O DUPLICATES
for (e : trace.uniqueInstances.subList(0, numInst - 1)) {
val x = ind
val uniqueness = createVLSFofFormula => [
it.name = support.toIDMultiple("t_uniqueness", e.name)
it.fofRole = "axiom"
it.fofFormula = support.establishUniqueness(trace.uniqueInstances.subList(x, numInst), e)
]
trace.specification.formulas += uniqueness
ind++
}
}
}
}
def protected void getInstanceConstants(int endInd, int startInd, ArrayList list,
Logic2VampireLanguageMapperTrace trace, boolean clear, boolean addToTrace) {
if (clear) {
list.clear
}
for (var i = startInd; i < endInd; i++) {
val num = i + 1
val cst = createVLSConstant => [
it.name = "o" + num
]
if (addToTrace) {
trace.uniqueInstances.add(cst)
}
list.add(cst)
}
}
def protected void makeFofFormula(ArrayList list, Logic2VampireLanguageMapperTrace trace, boolean minimum,
Type type) {
var nm = ""
var VLSTerm tm = null
if (type === null) {
nm = "object"
tm = support.topLevelTypeFunc
} else {
nm = type.lookup(trace.type2Predicate).constant.toString
tm = createVLSAnd => [
it.left = support.duplicate(type.lookup(trace.type2Predicate))
it.right = support.topLevelTypeFunc
]
// tm = support.duplicate(type.lookup(trace.type2Predicate))
}
val name = nm
val term = tm
val cstDec = createVLSFofFormula => [
it.name = support.toIDMultiple("typeScope", if(minimum) "min" else "max", name)
it.fofRole = "axiom"
it.fofFormula = createVLSUniversalQuantifier => [
it.variables += support.duplicate(variable)
// check below
it.operand = createVLSImplies => [
if (minimum) {
it.left = support.unfoldOr(list.map [ i |
createVLSEquality => [
it.left = createVLSVariable => [it.name = variable.name]
it.right = i
]
])
it.right = term
} else {
it.left = term
it.right = support.unfoldOr(list.map [ i |
createVLSEquality => [
it.left = createVLSVariable => [it.name = variable.name]
it.right = i
]
])
}
]
]
]
trace.specification.formulas += cstDec
}
}
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