using System; using System.Collections.Generic; using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; using Microsoft.VisualStudio.TestTools.UnitTesting; namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Tests { [TestClass] public class AutoDiffIntervalInterpreterTest { private IRegressionProblemData problemData; private IDictionary variableRanges; [TestInitialize] public void InitTest() { double[,] arr = new double[4, 3]; arr[0, 0] = 3; arr[0, 1] = 6; arr[0, 2] = 2; arr[1, 0] = 5; arr[1, 1] = 2; arr[1, 2] = 1; arr[2, 0] = 8; arr[2, 1] = 5; arr[2, 2] = 0; arr[3, 0] = 3; arr[3, 1] = 4; arr[3, 2] = 2; // intervals for dataset // x1: 3 .. 8 // x2: 2 .. 6 var ds = new Dataset(new string[] { "x1", "x2", "y" }, arr); problemData = (IRegressionProblemData)new RegressionProblemData(ds, new string[] { "x1", "x2" }, "y"); variableRanges = new Dictionary(); variableRanges.Add("x1", new Interval(1, 10)); variableRanges.Add("x2", new Interval(4, 6)); } private void EvaluateTest(string expression, Interval expectedResult, IDictionary variableRanges = null, double lowerDelta = 1e-6, double upperDelta = 1e-6) { var parser = new InfixExpressionParser(); var tree = parser.Parse(expression); var interpreter = new IntervalEvaluator(); Interval result; if (variableRanges == null) variableRanges = problemData.VariableRanges.GetIntervals(); result = interpreter.Evaluate(tree, variableRanges, new ISymbolicExpressionTreeNode[0], out double[] _, out double[] __); Assert.AreEqual(expectedResult.LowerBound, result.LowerBound, lowerDelta); Assert.AreEqual(expectedResult.UpperBound, result.UpperBound, upperDelta); } [TestMethod] [TestCategory("Problems.DataAnalysis.Symbolic")] [TestProperty("Time", "short")] public void TestIntervalInterpreterAdd() { EvaluateTest("x1 + x2", new Interval(5, 14)); EvaluateTest("x1 + x2", new Interval(5, 16), variableRanges); } [TestMethod] [TestCategory("Problems.DataAnalysis.Symbolic")] [TestProperty("Time", "short")] public void TestIntervalInterpreterLogAdd() { EvaluateTest("log(x1 + x2)", new Interval(Math.Log(5), Math.Log(14))); EvaluateTest("log(x1 + x2)", new Interval(Math.Log(5), Math.Log(16)), variableRanges); } [TestMethod] [TestCategory("Problems.DataAnalysis.Symbolic")] [TestProperty("Time", "short")] public void TestIntervalInterpreterLogAddMul() { EvaluateTest("log(3*x1 + x2)", new Interval(Math.Log(11), Math.Log(30))); EvaluateTest("log(3*x1 + x2)", new Interval(Math.Log(7), Math.Log(36)), variableRanges); } [TestMethod] [TestCategory("Problems.DataAnalysis.Symbolic")] [TestProperty("Time", "short")] public void TestIntervalInterpreterSin() { EvaluateTest("sin(x1+x2)", new Interval(-1, 1)); EvaluateTest("sin(x1+x2)", new Interval(-1, 1), variableRanges); EvaluateTest("sin(1+2)", new Interval(Math.Sin(3), Math.Sin(3))); var localVarRanges = new Dictionary(); localVarRanges.Add("x1", new Interval(-1, 1)); localVarRanges.Add("x2", new Interval(-(Math.PI / 2), 0)); localVarRanges.Add("x3", new Interval(0, Math.PI / 2)); localVarRanges.Add("x4", new Interval(-Math.PI, Math.PI)); localVarRanges.Add("x5", new Interval(Math.PI / 4, Math.PI * 3.0 / 4)); EvaluateTest("sin(x1)", new Interval(Math.Sin(-1), Math.Sin(1)), localVarRanges, 1E-8, 1E-8); EvaluateTest("sin(x2)", new Interval(-1, 0), localVarRanges, 1E-8, 1E-8); EvaluateTest("sin(x3)", new Interval(0, 1), localVarRanges, 1E-8, 1E-8); EvaluateTest("sin(x4)", new Interval(-1, 1), localVarRanges, 1E-8, 1E-8); EvaluateTest("sin(x5)", new Interval(Math.Sin(Math.PI / 4), 1), localVarRanges, 1E-8, 1E-8); } [TestMethod] [TestCategory("Problems.DataAnalysis.Symbolic")] [TestProperty("Time", "short")] public void TestIntervalInterpreterCos() { EvaluateTest("cos(x1+x2)", new Interval(-1, 1)); EvaluateTest("cos(x1+x2)", new Interval(-1, 1), variableRanges); EvaluateTest("cos(1+2)", new Interval(Math.Cos(3), Math.Cos(3))); var localVarRanges = new Dictionary(); localVarRanges.Add("x1", new Interval(-1, 1)); localVarRanges.Add("x2", new Interval(-(Math.PI / 2), 0)); localVarRanges.Add("x3", new Interval(0, Math.PI / 2)); localVarRanges.Add("x4", new Interval(-Math.PI, Math.PI)); localVarRanges.Add("x5", new Interval(Math.PI / 4, Math.PI * 3.0 / 4)); EvaluateTest("cos(x1)", new Interval(Math.Cos(-1), 1), localVarRanges, 1E-8, 1E-8); EvaluateTest("cos(x2)", new Interval(0, 1), localVarRanges, 1E-8, 1E-8); EvaluateTest("cos(x3)", new Interval(0, 1), localVarRanges, 1E-8, 1E-8); EvaluateTest("cos(x4)", new Interval(-1, 1), localVarRanges, 1E-8, 1E-8); EvaluateTest("cos(x5)", new Interval(Math.Cos(Math.PI * 3.0 / 4), Math.Cos(Math.PI / 4)), localVarRanges, 1E-8, 1E-8); } [TestMethod] [TestCategory("Problems.DataAnalysis.Symbolic")] [TestProperty("Time", "short")] public void TestIntervalInterpreterTan() { throw new NotSupportedException(); // critical values: // lim tan(x) = -inf for x => -pi/2 // lim tan(x) = +inf for x => pi/2 var variableRanges = new Dictionary(); variableRanges.Add("x1", new Interval(-1, 1)); variableRanges.Add("x2", new Interval(-(Math.PI / 2), 0)); variableRanges.Add("x3", new Interval(0, Math.PI / 2)); variableRanges.Add("x4", new Interval(-Math.PI, Math.PI)); EvaluateTest("tan(x1)", new Interval(Math.Tan(-1), Math.Tan(1)), variableRanges, 1E-8, 1E-8); EvaluateTest("tan(x2)", new Interval(double.NegativeInfinity, 0), variableRanges, 0, 1E-8); EvaluateTest("tan(x3)", new Interval(0, 8.16588936419192E+15), variableRanges, 0, 1E6); // actually upper bound should be infinity. EvaluateTest("tan(x4)", new Interval(double.NegativeInfinity, double.PositiveInfinity), variableRanges); } [TestMethod] [TestCategory("Problems.DataAnalysis.Symbolic")] [TestProperty("Time", "short")] public void TestIntervalInterpreterTanh() { // critical values: // lim tanh(x) = -1 for x => -inf // lim tanh(x) = 1 for x => inf var variableRanges = new Dictionary(); variableRanges.Add("x1", new Interval(-1, 1)); variableRanges.Add("x2", new Interval(double.NegativeInfinity, 0)); variableRanges.Add("x3", new Interval(0, double.PositiveInfinity)); EvaluateTest("tanh(x1)", new Interval(Math.Tanh(-1), Math.Tanh(1)), variableRanges); EvaluateTest("tanh(x2)", new Interval(-1, 0), variableRanges); EvaluateTest("tanh(x3)", new Interval(0, 1), variableRanges); } [TestMethod] [TestCategory("Problems.DataAnalysis.Symbolic")] [TestProperty("Time", "short")] public void TestIntervalInterpreterExp() { EvaluateTest("exp(x1-x2)", new Interval(Math.Exp(-3), Math.Exp(6))); EvaluateTest("exp(x1-x2)", new Interval(Math.Exp(-5), Math.Exp(6)), variableRanges); } [TestMethod] [TestCategory("Problems.DataAnalysis.Symbolic")] [TestProperty("Time", "short")] public void TestIntervalInterpreterExpRoot() { EvaluateTest("exp(sqrt(x1*x2))", new Interval(Math.Exp(Math.Sqrt(6)), Math.Exp(Math.Sqrt(48)))); EvaluateTest("exp(sqrt(x1*x2))", new Interval(Math.Exp(Math.Sqrt(4)), Math.Exp(Math.Sqrt(60))), variableRanges); } [TestMethod] [TestCategory("Problems.DataAnalysis.Symbolic")] [TestProperty("Time", "short")] public void TestIntervalInterpreterSqr() { EvaluateTest("sqr(x1)", new Interval(Math.Pow(3, 2), Math.Pow(8, 2))); } [TestMethod] [TestCategory("Problems.DataAnalysis")] [TestProperty("Time", "short")] public void TestDivisionAndSqr() { Dictionary dataIntervals = new Dictionary() { {"R", new Interval(0.2, 0.5) }, {"r", new Interval(0.5, 0.8) }, }; EvaluateTest("R*R", new Interval(0.2 * 0.2, 0.5 * 0.5), dataIntervals); EvaluateTest("sqr(R)", new Interval(0.2 * 0.2, 0.5 * 0.5), dataIntervals); EvaluateTest("r*r", new Interval(0.5 * 0.5, 0.8 * 0.8), dataIntervals); EvaluateTest("sqr(r)", new Interval(0.5 * 0.5, 0.8 * 0.8), dataIntervals); EvaluateTest("R/r", new Interval(0.2 / 0.8, 0.5 / 0.5), dataIntervals); EvaluateTest("R/(r*r)", new Interval(0.2 / (0.8 * 0.8), 0.5 / (0.5 * 0.5)), dataIntervals); EvaluateTest("R/sqr(r)", new Interval(0.2 / (0.8 * 0.8), 0.5 / (0.5 * 0.5)), dataIntervals); EvaluateTest("R*R/sqr(r)", new Interval(0.2 * 0.2 / (0.8 * 0.8), 0.5 * 0.5 / (0.5 * 0.5)), dataIntervals); EvaluateTest("sqr(R)/sqr(r)", new Interval(0.2 * 0.2 / (0.8 * 0.8), 0.5 * 0.5 / (0.5 * 0.5)), dataIntervals); EvaluateTest("sqr(R/r)", new Interval(0.2 * 0.2 / (0.8 * 0.8), 0.5 * 0.5 / (0.5 * 0.5)), dataIntervals); } } }