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package ca.mcgill.ecse.dslreasoner.vampire.reasoner.builder
import ca.mcgill.ecse.dslreasoner.vampireLanguage.VLSFunction
import ca.mcgill.ecse.dslreasoner.vampireLanguage.VLSVariable
import ca.mcgill.ecse.dslreasoner.vampireLanguage.VampireLanguageFactory
import hu.bme.mit.inf.dslreasoner.logic.model.builder.LogicSolverConfiguration
import hu.bme.mit.inf.dslreasoner.logic.model.logiclanguage.Type
import java.util.ArrayList
import java.util.Map
import static extension hu.bme.mit.inf.dslreasoner.util.CollectionsUtil.*
import java.util.HashMap
import ca.mcgill.ecse.dslreasoner.vampireLanguage.VLSTerm
import java.util.List
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(LogicSolverConfiguration config, Logic2VampireLanguageMapperTrace trace) {
// TODO HANDLE ERRORS RELATED TO MAX > MIN
// TODO HANDLE ERROR RELATED TO SUM(MIN TYPES)+1(for root) > MAX OBJECTS
// TODO HANDLE
// TODO NOT SPECIFIED MEANS =0 ?
// 1. make a list of constants equaling the min number of specified objects
val GLOBAL_MIN = config.typeScopes.minNewElements
val GLOBAL_MAX = config.typeScopes.maxNewElements
val localInstances = newArrayList
// Handling Minimum_General
if (GLOBAL_MIN != 0) {
getInstanceConstants(GLOBAL_MIN, 0, localInstances, trace, true, false)
for(i : trace.uniqueInstances){
localInstances.add(support.duplicate(i))
}
makeFofFormula(localInstances, trace, true, null)
}
// Handling Maximum_General
if (GLOBAL_MAX != 0) {
getInstanceConstants(GLOBAL_MAX, 0, localInstances, trace, true, true)
makeFofFormula(trace.uniqueInstances as ArrayList, trace, false, null)
}
// Handling Minimum_Specific
var i = 1
var minNum = -1
var Map<Type, Integer> startPoints = new HashMap
for (t : config.typeScopes.minNewElementsByType.keySet) {
minNum = t.lookup(config.typeScopes.minNewElementsByType)
if (minNum != 0) {
getInstanceConstants(i + minNum, i, localInstances, trace, true, false)
startPoints.put(t, i)
i += minNum
makeFofFormula(localInstances, trace, true, t)
}
}
// TODO: calc sum of mins, compare to current value of i
// Handling Maximum_Specific
for (t : config.typeScopes.maxNewElementsByType.keySet) {
var maxNum = t.lookup(config.typeScopes.maxNewElementsByType)
minNum = t.lookup(config.typeScopes.minNewElementsByType)
var startpoint = t.lookup(startPoints)
if (minNum != 0) {
getInstanceConstants(startpoint + minNum, startpoint, localInstances, trace, true, false)
}
if (maxNum != minNum) {
var instEndInd = Math.min(GLOBAL_MAX, i + maxNum - minNum)
getInstanceConstants(instEndInd, i, localInstances, trace, false, false)
makeFofFormula(localInstances, trace, false, t)
}
}
// 3. Specify uniqueness of elements
if (trace.uniqueInstances.length != 0) {
val uniqueness = createVLSFofFormula => [
it.name = "typeUniqueness"
it.fofRole = "axiom"
it.fofFormula = support.establishUniqueness(trace.uniqueInstances)
]
trace.specification.formulas += uniqueness
}
}
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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