use of com.sri.ai.grinder.theory.equality.EqualityTheory in project aic-expresso by aic-sri-international.
the class CompilationTest method test.
@Test
public void test() {
Expression input;
Expression expected;
Theory theory = new CompoundTheory(new EqualityTheory(true, true), new PropositionalTheory());
Map<String, String> mapFromCategoricalTypeNameToSizeString;
Map<String, String> mapFromVariableNameToTypeName;
Map<String, String> mapFromUniquelyNamedConstantToTypeName;
input = Expressions.parse("if X = a then if X = b then 1 else 2 else 3");
expected = parse("if X = a then 2 else 3");
mapFromCategoricalTypeNameToSizeString = Util.map("Everything", "2");
mapFromVariableNameToTypeName = Util.map("X", "Everything");
mapFromUniquelyNamedConstantToTypeName = Util.map("a", "Everything", "b", "Everything");
runTest(input, expected, theory, mapFromCategoricalTypeNameToSizeString, mapFromVariableNameToTypeName, mapFromUniquelyNamedConstantToTypeName);
input = Expressions.parse("" + "if X = a and Y = a then 0.1 else " + "if X = a and Y = b then 0.1 else " + "if X = b and Y = a then 0.2 else " + // + "if X = b and Y = b then 0.2" // no need to test because it is the last case
"0.2");
expected = parse("if X = a then 0.1 else 0.2");
mapFromCategoricalTypeNameToSizeString = Util.map("Everything", "2");
mapFromVariableNameToTypeName = Util.map("X", "Everything", "Y", "Everything");
mapFromUniquelyNamedConstantToTypeName = Util.map("a", "Everything", "b", "Everything");
runTest(input, expected, theory, mapFromCategoricalTypeNameToSizeString, mapFromVariableNameToTypeName, mapFromUniquelyNamedConstantToTypeName);
input = Expressions.parse("" + "if X = a and Y = a and Z = a then 0.1 else " + "if X = a and Y = a and Z = b then 0.1 else " + "if X = a and Y = a and Z = c then 0.1 else " + "if X = a and Y = b and Z = a then 0.1 else " + "if X = a and Y = b and Z = b then 0.1 else " + "if X = a and Y = b and Z = c then 0.1 else " + "if X = a and Y = c and Z = a then 0.1 else " + "if X = a and Y = c and Z = b then 0.1 else " + "if X = a and Y = c and Z = c then 0.1 else " + "if X = b and Y = a and Z = a then 0.2 else " + "if X = b and Y = a and Z = b then 0.2 else " + "if X = b and Y = a and Z = c then 0.2 else " + "if X = b and Y = b and Z = a then 0.2 else " + "if X = b and Y = b and Z = b then 0.2 else " + "if X = b and Y = b and Z = c then 0.2 else " + "if X = b and Y = c and Z = a then 0.2 else " + "if X = b and Y = c and Z = b then 0.2 else " + "if X = b and Y = c and Z = c then 0.2 else " + "if X = c and Y = a and Z = a then 0.3 else " + "if X = c and Y = a and Z = b then 0.3 else " + "if X = c and Y = a and Z = c then 0.3 else " + "if X = c and Y = b and Z = a then 0.3 else " + "if X = c and Y = b and Z = b then 0.3 else " + "if X = c and Y = b and Z = c then 0.3 else " + "if X = c and Y = c and Z = a then 0.3 else " + "if X = c and Y = c and Z = b then 0.3 else " + /* X = c and Y = c and Z = c ; no need as it is implied by domain definition */
"0.3");
expected = parse("if X = a then 0.1 else if X = b then 0.2 else 0.3");
mapFromCategoricalTypeNameToSizeString = Util.map("Everything", "3");
mapFromVariableNameToTypeName = Util.map("X", "Everything", "Y", "Everything", "Z", "Everything");
mapFromUniquelyNamedConstantToTypeName = Util.map("a", "Everything", "b", "Everything", "c", "Everything");
runTest(input, expected, theory, mapFromCategoricalTypeNameToSizeString, mapFromVariableNameToTypeName, mapFromUniquelyNamedConstantToTypeName);
// Same thing, but with non-capitalized variables that should still be recognized as variables
input = Expressions.parse("" + "if x = a and y = a and z = a then 0.1 else " + "if x = a and y = a and z = b then 0.1 else " + "if x = a and y = a and z = c then 0.1 else " + "if x = a and y = b and z = a then 0.1 else " + "if x = a and y = b and z = b then 0.1 else " + "if x = a and y = b and z = c then 0.1 else " + "if x = a and y = c and z = a then 0.1 else " + "if x = a and y = c and z = b then 0.1 else " + "if x = a and y = c and z = c then 0.1 else " + "if x = b and y = a and z = a then 0.2 else " + "if x = b and y = a and z = b then 0.2 else " + "if x = b and y = a and z = c then 0.2 else " + "if x = b and y = b and z = a then 0.2 else " + "if x = b and y = b and z = b then 0.2 else " + "if x = b and y = b and z = c then 0.2 else " + "if x = b and y = c and z = a then 0.2 else " + "if x = b and y = c and z = b then 0.2 else " + "if x = b and y = c and z = c then 0.2 else " + "if x = c and y = a and z = a then 0.3 else " + "if x = c and y = a and z = b then 0.3 else " + "if x = c and y = a and z = c then 0.3 else " + "if x = c and y = b and z = a then 0.3 else " + "if x = c and y = b and z = b then 0.3 else " + "if x = c and y = b and z = c then 0.3 else " + "if x = c and y = c and z = a then 0.3 else " + "if x = c and y = c and z = b then 0.3 else " + /* x = c and y = c and z = c ; no need as it is implied by domain definition */
"0.3");
expected = parse("if x = a then 0.1 else if x = b then 0.2 else 0.3");
mapFromCategoricalTypeNameToSizeString = Util.map("Everything", "3");
mapFromVariableNameToTypeName = Util.map("x", "Everything", "y", "Everything", "z", "Everything");
mapFromUniquelyNamedConstantToTypeName = Util.map("a", "Everything", "b", "Everything", "c", "Everything");
runTest(input, expected, theory, mapFromCategoricalTypeNameToSizeString, mapFromVariableNameToTypeName, mapFromUniquelyNamedConstantToTypeName);
input = Expressions.parse("" + "if not g0 and (g1 = consg1_0)\r\n" + "then 0.0001\r\n" + "else if not g0 and (g1 = consg1_1)\r\n" + " then 1\r\n" + " else if not g0 and (g1 = consg1_2)\r\n" + " then 0.0001\r\n" + " else if not g0 and (g1 = consg1_3)\r\n" + " then 1\r\n" + " else if g0 and (g1 = consg1_0)\r\n" + " then 1\r\n" + " else if g0 and (g1 = consg1_1)\r\n" + " then 1\r\n" + " else if g0 and (g1 = consg1_2)\r\n" + " then 1\r\n" + " else 1\r\n" + "");
expected = parse("if not g0 then if g1 = consg1_0 then 0.0001 else if g1 = consg1_1 then 1 else if g1 = consg1_2 then 0.0001 else 1 else 1");
mapFromCategoricalTypeNameToSizeString = Util.map("G1Type", "4", "Boolean", "2");
mapFromVariableNameToTypeName = Util.map("g0", "Boolean", "g1", "G1Type");
mapFromUniquelyNamedConstantToTypeName = Util.map("consg1_0", "G1Type", "consg1_1", "G1Type", "consg1_2", "G1Type", "consg1_3", "G1Type");
runTest(input, expected, theory, mapFromCategoricalTypeNameToSizeString, mapFromVariableNameToTypeName, mapFromUniquelyNamedConstantToTypeName);
input = Expressions.parse("if not g0 then 1 else 1");
expected = parse("1");
mapFromCategoricalTypeNameToSizeString = Util.map("G1Type", "4", "Boolean", "2");
mapFromVariableNameToTypeName = Util.map("g0", "Boolean", "g1", "G1Type");
mapFromUniquelyNamedConstantToTypeName = Util.map();
runTest(input, expected, theory, mapFromCategoricalTypeNameToSizeString, mapFromVariableNameToTypeName, mapFromUniquelyNamedConstantToTypeName);
}
use of com.sri.ai.grinder.theory.equality.EqualityTheory in project aic-expresso by aic-sri-international.
the class ExpressionStepSolverToLiteralSplitterStepSolverAdapterTest method testCompoundTheoryWithDifferenceArithmeticWithRandomDisjunctiveFormulas.
@Test
public void testCompoundTheoryWithDifferenceArithmeticWithRandomDisjunctiveFormulas() {
TheoryTestingSupport theoryTestingSupport = TheoryTestingSupport.make(makeRandom(), new CompoundTheory(new EqualityTheory(false, true), new DifferenceArithmeticTheory(false, true), new PropositionalTheory()));
// using different testing variables and types to test distribution of testing information
// to sub constraint theories.
Categorical booleanType = BOOLEAN_TYPE;
Categorical dogsType = new Categorical("Dogs", 4, arrayList(parse("fido"), parse("rex")));
IntegerInterval oneTwoThree = new IntegerInterval(1, 3);
Map<String, Type> variablesAndTypes = map("F", booleanType, "G", booleanType, "R", dogsType, "S", dogsType, "T", oneTwoThree, "U", oneTwoThree);
theoryTestingSupport.setVariableNamesAndTypesForTesting(variablesAndTypes);
runRandomDisjunctiveFormulasTest(theoryTestingSupport);
}
use of com.sri.ai.grinder.theory.equality.EqualityTheory in project aic-expresso by aic-sri-international.
the class ExpressionStepSolverToLiteralSplitterStepSolverAdapterTest method testCompoundTheoryWithoutDifferenceArithmeticWithRandomDisjunctiveFormulas.
@Test
public void testCompoundTheoryWithoutDifferenceArithmeticWithRandomDisjunctiveFormulas() {
TheoryTestingSupport theoryTestingSupport = TheoryTestingSupport.make(makeRandom(), new CompoundTheory(new EqualityTheory(false, true), new DifferenceArithmeticTheory(false, true), new PropositionalTheory()));
runRandomDisjunctiveFormulasTest(theoryTestingSupport);
}
use of com.sri.ai.grinder.theory.equality.EqualityTheory in project aic-expresso by aic-sri-international.
the class Tests method main.
public static void main(String[] args) {
// Theory initialization
Theory theory = new CompoundTheory(new EqualityTheory(false, true), new DifferenceArithmeticTheory(false, false), new LinearRealArithmeticTheory(false, false), new TupleTheory(), new PropositionalTheory());
Context context = new TrueContext(theory);
context = context.extendWithSymbolsAndTypes("A", "Boolean");
Model m;
String modelName;
Triple<Set<Expression>, Context, Expression> a = IsingModel(4, 4, context, parse("Boolean"));
println(a);
m = new Model(a, theory, true);
Expression b = ModelGenerator.lveCalculation(m);
println(b);
// testFunction(modelName, m,true);
// modelName = "Line Model";
// m = new Model(lineModel(10, context, parse("Boolean")),theory, true);
//
// testFunction(modelName, m,true);
//
// modelName = "Binary Tree Model";
// m = new Model(nTreeModel(4, 2, context, parse("Boolean")),theory, true);
//
// testFunction(modelName, m,true);
//
// modelName = "Random Model";
// m = new Model(ModelGenerator.randomModel(8, 10, context, parse("Boolean")),theory, true);
//
// testFunction(modelName, m,true);
modelName = "Ising Model";
List<List<TupleOfData>> listOdModelsToPrintInFile = new ArrayList<>();
// m = new Model(IsingModel(20, 4, context, parse("Boolean")),theory, true);
// List<InferenceResult> IsingModel2X2 = testing("IsingModel",m,2,2);
// listOdModelsToPrintInFile.add(IsingModel2X2);
// println("ok");
//
// m = new Model(IsingModel(3, 3, context, parse("Boolean")),theory, true);
// List<InferenceResult> IsingModel3X3 = testing("IsingModel",m,3,3);
// listOdModelsToPrintInFile.add(IsingModel3X3);
// println("ok");
//
// m = new Model(IsingModel(3, 4, context, parse("Boolean")),theory, true);
// List<InferenceResult> IsingModel3X4 = testing("IsingModel",m,3,4);
// listOdModelsToPrintInFile.add(IsingModel3X4);
// println("ok");
//
// m = new Model(IsingModel(4, 4, context, parse("Boolean")),theory, true);
// List<InferenceResult> IsingModel4X4 = testing("IsingModel",m,4,4);
// listOdModelsToPrintInFile.add(IsingModel4X4);
// println("ok");
//
// // m = new Model(IsingModel(4, 5, context, parse("Boolean")),theory, true);
// // List<InferenceResult> IsingModel4X5 = testing("IsingModel",m,4,5);
// // listOdModelsToPrintInFile.add(IsingModel4X5);
// // println("ok");
//
// modelName = "Line Model";
// m = new Model(lineModel(20, context, parse("Boolean")),theory, true);
// List<InferenceResult> line10 = testing(modelName,m,4,5);
// listOdModelsToPrintInFile.add(line10);
// println("ok");
modelName = "Binary Tree Model";
m = new Model(IsingModel(4, 4, context, parse("Boolean")), theory, true);
List<TupleOfData> btree = testing(modelName, m, 4, 5);
listOdModelsToPrintInFile.add(btree);
println("ok");
testingAndWritingToFile(modelName + ".csv", listOdModelsToPrintInFile);
}
use of com.sri.ai.grinder.theory.equality.EqualityTheory in project aic-expresso by aic-sri-international.
the class EvaluationTest method testEvaluationOfCardinalityExpressions.
@Test
public void testEvaluationOfCardinalityExpressions() {
TheoryTestingSupport theoryTestingSupport = TheoryTestingSupport.make(makeRandom(), new CompoundTheory(new EqualityTheory(false, true), new DifferenceArithmeticTheory(false, true), new PropositionalTheory()));
Map<String, Type> variablesAndTypes = new LinkedHashMap<>(theoryTestingSupport.getVariableNamesAndTypesForTesting());
Type booleanType = variablesAndTypes.get("P");
variablesAndTypes.put("S", booleanType);
variablesAndTypes.put("T", booleanType);
variablesAndTypes.put("U", booleanType);
theoryTestingSupport.setVariableNamesAndTypesForTesting(variablesAndTypes);
Context context = theoryTestingSupport.makeContextWithTestingInformation();
String expressionString;
Expression expected;
expressionString = "| {{ (on I in 1..10) 3 : I != 4 and P }} |";
expected = parse("if P then 9 else 0");
runTest(expressionString, expected, context);
expressionString = "| I in 1..10 : I != 4 and P |";
expected = parse("if P then 9 else 0");
runTest(expressionString, expected, context);
expressionString = "| {{ (on ) 3 : I != 4 and P }} |";
expected = parse("if I != 4 then if P then 1 else 0 else 0");
runTest(expressionString, expected, context);
expressionString = "| : I != 4 and P |";
expected = parse("if I != 4 then if P then 1 else 0 else 0");
runTest(expressionString, expected, context);
expressionString = "| {{ (on ) 3 : P and not P }} |";
expected = parse("0");
runTest(expressionString, expected, context);
expressionString = "| : P and not P |";
expected = parse("0");
runTest(expressionString, expected, context);
expressionString = "| {{ (on I in 1..10, J in 1..2) 3 : I != 4 }} |";
expected = parse("18");
runTest(expressionString, expected, context);
expressionString = "| I in 1..10, J in 1..2 : I != 4 |";
expected = parse("18");
runTest(expressionString, expected, context);
expressionString = "| {{ (on I in 1..10, P in Boolean) 3 : I != 4 }} |";
expected = parse("18");
runTest(expressionString, expected, context);
expressionString = "| I in 1..10, P in Boolean: I != 4 |";
expected = parse("18");
runTest(expressionString, expected, context);
}
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