- Timestamp:
- 09/10/11 15:34:19 (13 years ago)
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trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Tests/SymbolicDataAnalysisExpressionTreeInterpreterTest.cs
r5809 r6732 30 30 31 31 32 /// <summary>33 ///This is a test class for SimpleArithmeticExpressionInterpreter and is intended34 ///to contain all SimpleArithmeticExpressionInterpreter Unit Tests35 ///</summary>36 32 [TestClass()] 37 33 public class SymbolicDataAnalysisExpressionTreeInterpreterTest { … … 55 51 56 52 [TestMethod] 57 public void FullGrammarSimpleArithmeticExpressionInterpreterPerformanceTest() { 53 public void SymbolicDataAnalysisExpressionTreeInterpreterFullGrammarPerformanceTest() { 54 FullGrammarPerformanceTest(new SymbolicDataAnalysisExpressionTreeInterpreter(), 12.5e6); 55 } 56 [TestMethod] 57 public void SymbolicDataAnalysisExpressionTreeInterpreterArithmeticGrammarPerformanceTest() { 58 FullGrammarPerformanceTest(new SymbolicDataAnalysisExpressionTreeInterpreter(), 12.5e6); 59 } 60 61 [TestMethod] 62 public void SymbolicDataAnalysisExpressionTreeILEmittingInterpreterFullGrammarPerformanceTest() { 63 FullGrammarPerformanceTest(new SymbolicDataAnalysisExpressionTreeILEmittingInterpreter(), 25e6); 64 } 65 [TestMethod] 66 public void SymbolicDataAnalysisExpressionTreeILEmittingInterpreterArithmeticGrammarPerformanceTest() { 67 FullGrammarPerformanceTest(new SymbolicDataAnalysisExpressionTreeILEmittingInterpreter(), 25e6); 68 } 69 70 private void FullGrammarPerformanceTest(ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double nodesPerSecThreshold) { 58 71 var twister = new MersenneTwister(31415); 59 72 var dataset = Util.CreateRandomDataset(twister, Rows, Columns); … … 64 77 grammar.MinimumFunctionDefinitions = 0; 65 78 var randomTrees = Util.CreateRandomTrees(twister, dataset, grammar, N, 1, 100, 0, 0); 66 double[] estimation = new double[Rows];67 79 foreach (ISymbolicExpressionTree tree in randomTrees) { 68 80 Util.InitTree(tree, twister, new List<string>(dataset.VariableNames)); 69 81 } 70 SymbolicDataAnalysisExpressionTreeInterpreter interpreter = new SymbolicDataAnalysisExpressionTreeInterpreter();71 82 double nodesPerSec = Util.CalculateEvaluatedNodesPerSec(randomTrees, interpreter, dataset, 3); 72 Assert.IsTrue(nodesPerSec > 12.5e6); // evaluated nodes per seconds must be larger than 15mNodes/sec 73 } 74 75 [TestMethod] 76 public void ArithmeticGrammarSimpleArithmeticExpressionInterpreterPerformanceTest() { 83 Assert.IsTrue(nodesPerSec > nodesPerSecThreshold); // evaluated nodes per seconds must be larger than 15mNodes/sec 84 } 85 86 private void ArithmeticGrammarPerformanceTest(ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double nodesPerSecThreshold) { 77 87 var twister = new MersenneTwister(31415); 78 88 var dataset = Util.CreateRandomDataset(twister, Rows, Columns); … … 83 93 grammar.MinimumFunctionDefinitions = 0; 84 94 var randomTrees = Util.CreateRandomTrees(twister, dataset, grammar, N, 1, 100, 0, 0); 85 double[] estimation = new double[Rows];86 95 foreach (SymbolicExpressionTree tree in randomTrees) { 87 96 Util.InitTree(tree, twister, new List<string>(dataset.VariableNames)); 88 97 } 89 SymbolicDataAnalysisExpressionTreeInterpreter interpreter = new SymbolicDataAnalysisExpressionTreeInterpreter(); 98 90 99 double nodesPerSec = Util.CalculateEvaluatedNodesPerSec(randomTrees, interpreter, dataset, 3); 91 Assert.IsTrue(nodesPerSec > 12.5e6); // evaluated nodes per seconds must be larger than 15mNodes/sec100 Assert.IsTrue(nodesPerSec > nodesPerSecThreshold); // evaluated nodes per seconds must be larger than 15mNodes/sec 92 101 } 93 102 … … 97 106 ///</summary> 98 107 [TestMethod] 99 public void SimpleArithmeticExpressionInterpreterEvaluateTest() { 100 108 public void SymbolicDataAnalysisExpressionTreeInterpreterEvaluateTest() { 101 109 Dataset ds = new Dataset(new string[] { "Y", "A", "B" }, new double[,] { 102 110 { 1.0, 1.0, 1.0 }, … … 105 113 }); 106 114 107 SymbolicDataAnalysisExpressionTreeInterpreter interpreter = new SymbolicDataAnalysisExpressionTreeInterpreter(); 108 115 var interpreter = new SymbolicDataAnalysisExpressionTreeInterpreter(); 116 EvaluateTerminals(interpreter, ds); 117 EvaluateOperations(interpreter, ds); 118 EvaluateAdf(interpreter, ds); 119 } 120 121 [TestMethod] 122 public void SymbolicDataAnalysisExpressionILEmittingTreeInterpreterEvaluateTest() { 123 Dataset ds = new Dataset(new string[] { "Y", "A", "B" }, new double[,] { 124 { 1.0, 1.0, 1.0 }, 125 { 2.0, 2.0, 2.0 }, 126 { 3.0, 1.0, 2.0 } 127 }); 128 129 var interpreter = new SymbolicDataAnalysisExpressionTreeILEmittingInterpreter(); 130 EvaluateTerminals(interpreter, ds); 131 EvaluateOperations(interpreter, ds); 132 } 133 134 private void EvaluateTerminals(ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, Dataset ds) { 109 135 // constants 110 136 Evaluate(interpreter, ds, "(+ 1.5 3.5)", 0, 5.0); … … 113 139 Evaluate(interpreter, ds, "(variable 2.0 a)", 0, 2.0); 114 140 Evaluate(interpreter, ds, "(variable 2.0 a)", 1, 4.0); 115 116 141 } 142 143 private void EvaluateAdf(ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, Dataset ds) { 144 145 // ADF 146 Evaluate(interpreter, ds, @"(PROG 147 (MAIN 148 (CALL ADF0)) 149 (defun ADF0 1.0))", 1, 1.0); 150 Evaluate(interpreter, ds, @"(PROG 151 (MAIN 152 (* (CALL ADF0) (CALL ADF0))) 153 (defun ADF0 2.0))", 1, 4.0); 154 Evaluate(interpreter, ds, @"(PROG 155 (MAIN 156 (CALL ADF0 2.0 3.0)) 157 (defun ADF0 158 (+ (ARG 0) (ARG 1))))", 1, 5.0); 159 Evaluate(interpreter, ds, @"(PROG 160 (MAIN (CALL ADF1 2.0 3.0)) 161 (defun ADF0 162 (- (ARG 1) (ARG 0))) 163 (defun ADF1 164 (+ (CALL ADF0 (ARG 1) (ARG 0)) 165 (CALL ADF0 (ARG 0) (ARG 1)))))", 1, 0.0); 166 Evaluate(interpreter, ds, @"(PROG 167 (MAIN (CALL ADF1 (variable 2.0 a) 3.0)) 168 (defun ADF0 169 (- (ARG 1) (ARG 0))) 170 (defun ADF1 171 (CALL ADF0 (ARG 1) (ARG 0))))", 1, 1.0); 172 Evaluate(interpreter, ds, 173 @"(PROG 174 (MAIN (CALL ADF1 (variable 2.0 a) 3.0)) 175 (defun ADF0 176 (- (ARG 1) (ARG 0))) 177 (defun ADF1 178 (+ (CALL ADF0 (ARG 1) (ARG 0)) 179 (CALL ADF0 (ARG 0) (ARG 1)))))", 1, 0.0); 180 } 181 182 private void EvaluateOperations(ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, Dataset ds) { 117 183 // addition 118 184 Evaluate(interpreter, ds, "(+ (variable 2.0 a ))", 1, 4.0); … … 148 214 Evaluate(interpreter, ds, "(> (variable 2.0 a) 1.9)", 0, 1.0); 149 215 Evaluate(interpreter, ds, "(> 1.9 (variable 2.0 a))", 0, -1.0); 150 //Evaluate(interpreter, ds, "(> (sqrt-1.0) (log -1.0))", 0, -1.0); // (> nan nan) should be false216 Evaluate(interpreter, ds, "(> (log -1.0) (log -1.0))", 0, -1.0); // (> nan nan) should be false 151 217 152 218 // lt … … 155 221 Evaluate(interpreter, ds, "(< (variable 2.0 a) 1.9)", 0, -1.0); 156 222 Evaluate(interpreter, ds, "(< 1.9 (variable 2.0 a))", 0, 1.0); 157 //Evaluate(interpreter, ds, "(< (sqrt -1,0) (log -1,0))", 0, -1.0); // (< nan nan) should be false223 Evaluate(interpreter, ds, "(< (log -1.0) (log -1.0))", 0, -1.0); // (< nan nan) should be false 158 224 159 225 // If … … 163 229 Evaluate(interpreter, ds, "(if 1.0 2.0 3.0)", 0, 2.0); 164 230 Evaluate(interpreter, ds, "(if 10.0 2.0 3.0)", 0, 2.0); 165 // Evaluate(interpreter, ds, "(if (sqrt-1.0) 2.0 3.0)", 0, 3.0); // if(nan) should return the else branch231 Evaluate(interpreter, ds, "(if (log -1.0) 2.0 3.0)", 0, 3.0); // if(nan) should return the else branch 166 232 167 233 // NOT … … 171 237 Evaluate(interpreter, ds, "(not 2.0)", 0, -1.0); 172 238 Evaluate(interpreter, ds, "(not 0.0)", 0, 1.0); 239 Evaluate(interpreter, ds, "(not (log -1.0))", 0, 1.0); 173 240 174 241 // AND … … 181 248 Evaluate(interpreter, ds, "(and 1.0 2.0 3.0)", 0, 1.0); 182 249 Evaluate(interpreter, ds, "(and 1.0 -2.0 3.0)", 0, -1.0); 250 Evaluate(interpreter, ds, "(and (log -1.0))", 0, -1.0); // (and NaN) 251 Evaluate(interpreter, ds, "(and (log -1.0) 1.0)", 0, -1.0); // (and NaN 1.0) 252 183 253 184 254 // OR … … 190 260 Evaluate(interpreter, ds, "(or -1.0 -2.0 -3.0)", 0, -1.0); 191 261 Evaluate(interpreter, ds, "(or -1.0 -2.0 3.0)", 0, 1.0); 262 Evaluate(interpreter, ds, "(or (log -1.0))", 0, -1.0); // (or NaN) 263 Evaluate(interpreter, ds, "(or (log -1.0) 1.0)", 0, -1.0); // (or NaN 1.0) 192 264 193 265 // sin, cos, tan … … 207 279 Evaluate(interpreter, ds, "(mean -1.0 1.0 -1.0)", 0, -1.0 / 3.0); 208 280 209 // ADF 210 Evaluate(interpreter, ds, @"(PROG 211 (MAIN 212 (CALL ADF0)) 213 (defun ADF0 1.0))", 1, 1.0); 214 Evaluate(interpreter, ds, @"(PROG 215 (MAIN 216 (* (CALL ADF0) (CALL ADF0))) 217 (defun ADF0 2.0))", 1, 4.0); 218 Evaluate(interpreter, ds, @"(PROG 219 (MAIN 220 (CALL ADF0 2.0 3.0)) 221 (defun ADF0 222 (+ (ARG 0) (ARG 1))))", 1, 5.0); 223 Evaluate(interpreter, ds, @"(PROG 224 (MAIN (CALL ADF1 2.0 3.0)) 225 (defun ADF0 226 (- (ARG 1) (ARG 0))) 227 (defun ADF1 228 (+ (CALL ADF0 (ARG 1) (ARG 0)) 229 (CALL ADF0 (ARG 0) (ARG 1)))))", 1, 0.0); 230 Evaluate(interpreter, ds, @"(PROG 231 (MAIN (CALL ADF1 (variable 2.0 a) 3.0)) 232 (defun ADF0 233 (- (ARG 1) (ARG 0))) 234 (defun ADF1 235 (CALL ADF0 (ARG 1) (ARG 0))))", 1, 1.0); 236 Evaluate(interpreter, ds, @"(PROG 237 (MAIN (CALL ADF1 (variable 2.0 a) 3.0)) 238 (defun ADF0 239 (- (ARG 1) (ARG 0))) 240 (defun ADF1 241 (+ (CALL ADF0 (ARG 1) (ARG 0)) 242 (CALL ADF0 (ARG 0) (ARG 1)))))", 1, 0.0); 243 } 244 245 private void Evaluate(SymbolicDataAnalysisExpressionTreeInterpreter interpreter, Dataset ds, string expr, int index, double expected) { 281 } 282 283 private void Evaluate(ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, Dataset ds, string expr, int index, double expected) { 246 284 var importer = new SymbolicExpressionImporter(); 247 285 ISymbolicExpressionTree tree = importer.Import(expr);
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