1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
|
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 case where init model does not satisfy for example ine and only one criterion of toplvl elem
// We are currently ignoring all typescope spec related to the topLevel type
// TODO Case where typeScope spec continas numbers for a type and its subtype
// We shouldnt waste constants for each one
// 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
for (t : config.typeScopes.minNewElementsByType.keySet.filter[!equals(trace.topLevelType)]) {
var numIniIntModel = 0
for (elem : trace.definedElement2String.keySet) {
for (tDefined : elem.definedInType) {
if (support.dfsSubtypeCheck(t, tDefined)) {
numIniIntModel += 1
}
}
}
minNum = t.lookup(config.typeScopes.minNewElementsByType) - numIniIntModel
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.filter[!equals(trace.topLevelType)]) {
var numIniIntModel = 0
for (elem : trace.definedElement2String.keySet) {
if (elem.definedInType == t) {
numIniIntModel += 1
}
}
var maxNum = t.lookup(config.typeScopes.maxNewElementsByType) - numIniIntModel
if (config.typeScopes.minNewElementsByType.keySet.contains(t)) {
minNum = t.lookup(config.typeScopes.minNewElementsByType) - numIniIntModel
} else {
minNum = 0
}
if (minNum != 0) {
var startpoint = t.lookup(startPoints)
getInstanceConstants(startpoint + minNum, startpoint, localInstances, trace, true, false)
}
else {
localInstances.clear
}
// 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, t)
// }
}
// 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
}
}
|