1 | using HeuristicLab.Problems.ProgramSynthesis;
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2 |
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3 | namespace HeuristicLab.BenchmarkSuite.Problems {
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4 | public class MirrorImage : BenchmarkSuiteDataDescriptor {
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5 | private const string name = "Mirror Image - Medium";
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6 | private const string fileName = "MirrorImage.csv";
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7 | private const string description = "Given two vectors of integers, return true if one vector is the reverse of the other, and false otherwise.";
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8 |
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9 | protected override string FileName { get { return fileName; } }
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10 | public override string Name { get { return name; } }
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11 | public override string Description { get { return description; } }
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12 | protected override int InputArgumentCount { get { return 2; } }
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13 | protected override int OutputArgumentCount { get { return 1; } }
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14 |
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15 | public override ProblemData CreateProblemData() {
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16 | return new ProblemData(ProblemType.MirrorImage) {
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17 | Name = Name,
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18 | Description = Description,
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19 | ProgramExecutionBudget = 30000000,
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20 | Examples = CloneExamples(),
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21 | BestResult = 0,
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22 | WorstResult = 1,
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23 | InputArgumentTypes = new[] { ExampleArgumentType.IntegerVector, ExampleArgumentType.IntegerVector },
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24 | OutputArgumentTypes = new[] { ExampleArgumentType.Boolean },
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25 | TrainingCount = 100,
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26 | TestCount = 1000,
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27 | EnabledDataTypes = DataTypes.Exec | DataTypes.Integer | DataTypes.Boolean | DataTypes.IntegerVector,
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28 | MaxSize = 300,
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29 | EvalLimit = 600,
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30 | ErcOptions = {
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31 | ErcProbability = 0.05,
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32 | BooleanErcOptions = new BooleanErcOptions(
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33 | new BooleanRandomErc {
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34 | AllowFalse = true,
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35 | AllowTrue = true
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36 | })
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37 | }
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38 | };
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39 | }
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40 |
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41 | protected override Example ParseExample(string[] input, string[] output) {
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42 | return new Example {
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43 | InputArgs = input,
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44 | OutputArgs = output,
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45 | InputIntegerVector = new[] {
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46 | ExampleArgumentConverter.ConvertIntegers(input[0]),
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47 | ExampleArgumentConverter.ConvertIntegers(input[1])
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48 | },
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49 | OutputBoolean = ExampleArgumentConverter.ConvertBooleans(output[0]),
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50 | };
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51 | }
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52 | }
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53 | }
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