[15771] | 1 | using System.Linq;
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[14909] | 2 |
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[15771] | 3 | using HeuristicLab.Core;
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| 4 | using HeuristicLab.Data;
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| 5 | using HeuristicLab.Random;
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| 6 | using HeuristicLab.Problems.ProgramSynthesis;
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[14909] | 7 |
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[15771] | 8 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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[14909] | 9 |
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[15771] | 10 | namespace HeuristicLab.Tests.Erc {
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[14909] | 11 | [TestClass]
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| 12 | public class ErcTests {
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| 13 | private const double tolerance = 0.15;
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| 14 | private IRandom random;
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| 15 |
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| 16 | [TestInitialize]
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| 17 | public void BeforeTest() {
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| 18 | random = new MersenneTwister(1337);
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| 19 | }
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| 20 |
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| 21 | [TestMethod]
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| 22 | [TestProperty("Time", "Short")]
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| 23 | [TestCategory("ErcTests")]
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| 24 | public void MixedIntegerErcValueTests() {
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| 25 | var options = new IntegerErcOptions(
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[14952] | 26 | new IntegerConstantErc(true, 0.8, 11, 12, 13),
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| 27 | new IntegerRangeErc(true, -10, 10, 0.2));
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[14909] | 28 |
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| 29 | Assert.IsTrue(options.IsEnabled);
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| 30 |
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| 31 | var distribution = Enumerable.Range(0, 1000)
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| 32 | .Select(_ => options.GetErcValue(random))
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| 33 | .GroupBy(x => x <= 10 ? "range" : "constants")
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| 34 | .ToDictionary(group => group.Key, group => group.Count());
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| 35 |
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| 36 | var estimatedRatio = 0.8 / 0.2;
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| 37 | var ratio = distribution["constants"] / (double)distribution["range"];
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| 38 |
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| 39 | Assert.IsTrue(IsAlmost(estimatedRatio, ratio, tolerance));
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| 40 | }
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| 41 |
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| 42 | [TestMethod]
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| 43 | [TestProperty("Time", "Short")]
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| 44 | [TestCategory("ErcTests")]
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| 45 | public void MixedFloatErcValueTests() {
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| 46 | var options = new FloatErcOptions(
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[14952] | 47 | new FloatConstantErc(true, 0.8, 11.1, 12.1, 13.1),
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| 48 | new FloatRangeErc(true, -10.5, 10.5, 0.2));
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[14909] | 49 |
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| 50 | Assert.IsTrue(options.IsEnabled);
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| 51 |
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| 52 | var distribution = Enumerable.Range(0, 1000)
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| 53 | .Select(_ => options.GetErcValue(random))
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| 54 | .GroupBy(x => x <= 10.5 ? "range" : "constants")
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| 55 | .ToDictionary(group => group.Key, group => group.Count());
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| 56 |
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| 57 | var estimatedRatio = 0.8 / 0.2;
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| 58 | var ratio = distribution["constants"] / (double)distribution["range"];
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| 59 |
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| 60 | Assert.IsTrue(IsAlmost(estimatedRatio, ratio, tolerance));
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| 61 | }
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| 62 |
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| 63 | [TestMethod]
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| 64 | [TestProperty("Time", "Short")]
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| 65 | [TestCategory("ErcTests")]
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| 66 | public void MixedCharErcValueTests() {
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| 67 | var options = new CharErcOptions(
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[14952] | 68 | new IntegerConstantErc(true, 0.8, 11, 12, 13),
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| 69 | new IntegerRangeErc(true, 65, 98, 0.2));
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[14909] | 70 |
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| 71 | Assert.IsTrue(options.IsEnabled);
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| 72 |
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| 73 | var distribution = Enumerable.Range(0, 1000)
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| 74 | .Select(_ => options.GetErcValue(random))
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| 75 | .GroupBy(x => x >= 65 ? "range" : "constants")
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| 76 | .ToDictionary(group => group.Key, group => group.Count());
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| 77 |
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| 78 | var estimatedRatio = 0.8 / 0.2;
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| 79 | var ratio = distribution["constants"] / (double)distribution["range"];
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| 80 |
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| 81 | Assert.IsTrue(IsAlmost(estimatedRatio, ratio, tolerance));
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| 82 | }
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| 83 |
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| 84 | [TestMethod]
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| 85 | [TestProperty("Time", "Short")]
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| 86 | [TestCategory("ErcTests")]
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| 87 | public void MixedStringErcValueTests() {
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| 88 | var options = new StringErcOptions(
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[14952] | 89 | new StringConstantErc(true, 0.8, "_1", "_2", "_3"),
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| 90 | new StringRandomErc(true, 0.2));
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[14909] | 91 |
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| 92 | Assert.IsTrue(options.IsEnabled);
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| 93 |
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| 94 | var distribution = Enumerable.Range(0, 1000)
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| 95 | .Select(_ => options.GetErcValue(random))
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| 96 | .GroupBy(x => x.StartsWith("_") ? "constants" : "random")
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| 97 | .ToDictionary(group => group.Key, group => group.Count());
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| 98 |
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| 99 | var estimatedRatio = 0.8 / 0.2;
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| 100 | var ratio = distribution["constants"] / (double)distribution["random"];
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| 101 |
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| 102 | Assert.IsTrue(IsAlmost(estimatedRatio, ratio, tolerance));
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| 103 | }
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| 104 |
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| 105 | [TestMethod]
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| 106 | [TestProperty("Time", "Short")]
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| 107 | [TestCategory("ErcTests")]
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[15017] | 108 | public void StringStringErcValueTests() {
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| 109 | var options = new StringErcOptions(
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| 110 | new StringConstantErc(true, 1.0, "_1", "_2", "_3"));
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| 111 |
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| 112 | Assert.IsTrue(options.IsEnabled);
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| 113 |
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| 114 | var distribution = Enumerable.Range(0, 1000)
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| 115 | .Select(_ => options.GetErcValue(random))
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| 116 | .GroupBy(x => x)
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| 117 | .ToDictionary(group => group.Key, group => group.Count());
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| 118 |
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| 119 | var estimatedRatio = 1.0 / 3.0;
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| 120 |
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| 121 | Assert.IsTrue(IsAlmost(estimatedRatio, distribution["_1"] / 1000.0, tolerance));
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| 122 | Assert.IsTrue(IsAlmost(estimatedRatio, distribution["_2"] / 1000.0, tolerance));
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| 123 | Assert.IsTrue(IsAlmost(estimatedRatio, distribution["_3"] / 1000.0, tolerance));
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| 124 | }
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| 125 |
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| 126 | [TestMethod]
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| 127 | [TestProperty("Time", "Short")]
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| 128 | [TestCategory("ErcTests")]
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[14909] | 129 | public void MixedIntegerVectorErcValueTests() {
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| 130 | var options = new IntegerVectorErcOptions(
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[14952] | 131 | new IntegerVectorConstantsErc(true, 0.8, new[] { 1, 2, 3 }, new[] { 4, 5, 6 }),
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| 132 | new IntegerVectorConstantsErc(true, 0.2, new[] { 10, 11, 12 }, new[] { 13, 14, 15 }));
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[14909] | 133 |
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| 134 | Assert.IsTrue(options.IsEnabled);
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| 135 |
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| 136 | var distribution = Enumerable.Range(0, 1000)
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| 137 | .Select(_ => options.GetErcValue(random))
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| 138 | .GroupBy(x => x.All(_ => _ < 10) ? "constants1" : "constants2")
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| 139 | .ToDictionary(group => group.Key, group => group.Count());
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| 140 |
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| 141 | var estimatedRatio = 0.8 / 0.2;
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| 142 | var ratio = distribution["constants1"] / (double)distribution["constants2"];
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| 143 |
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| 144 | Assert.IsTrue(IsAlmost(estimatedRatio, ratio, tolerance));
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| 145 | }
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| 146 |
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| 147 | [TestMethod]
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| 148 | [TestProperty("Time", "Short")]
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| 149 | [TestCategory("ErcTests")]
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[15017] | 150 | public void DisabledIntegerVectorErcValueTests() {
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| 151 | var options = new IntegerVectorErcOptions(
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| 152 | new IntegerVectorConstantsErc(false, 0.8, new[] { 1, 2, 3 }, new[] { 4, 5, 6 }),
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| 153 | new IntegerVectorConstantsErc(true, 0.2, new[] { 10, 11, 12 }, new[] { 13, 14, 15 }));
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| 154 |
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| 155 | Assert.IsTrue(options.IsEnabled);
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| 156 |
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| 157 | var distribution = Enumerable.Range(0, 1000)
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| 158 | .Select(_ => options.GetErcValue(random))
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| 159 | .GroupBy(x => x.All(_ => _ < 10) ? "constants1" : "constants2")
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| 160 | .ToDictionary(group => group.Key, group => group.Count());
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| 161 |
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| 162 | Assert.IsFalse(distribution.ContainsKey("constants1"));
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| 163 | Assert.AreEqual(1000, distribution["constants2"]);
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| 164 | }
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| 165 |
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| 166 | [TestMethod]
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| 167 | [TestProperty("Time", "Short")]
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| 168 | [TestCategory("ErcTests")]
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[14909] | 169 | public void MixedFloatVectorErcValueTests() {
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| 170 | var options = new FloatVectorErcOptions(
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[14952] | 171 | new FloatVectorConstantsErc(true, 0.8, new[] { 1.0, 2.2, 3.1 }, new[] { 4.1, 5.2, 6.3 }),
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| 172 | new FloatVectorConstantsErc(true, 0.2, new[] { 10.1, 11.1, 12.2 }, new[] { 13.1, 14.2, 15.3 }));
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[14909] | 173 |
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| 174 | Assert.IsTrue(options.IsEnabled);
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| 175 |
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| 176 | var distribution = Enumerable.Range(0, 1000)
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| 177 | .Select(_ => options.GetErcValue(random))
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| 178 | .GroupBy(x => x.All(_ => _ < 10) ? "constants1" : "constants2")
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| 179 | .ToDictionary(group => group.Key, group => group.Count());
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| 180 |
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| 181 | var estimatedRatio = 0.8 / 0.2;
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| 182 | var ratio = distribution["constants1"] / (double)distribution["constants2"];
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| 183 |
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| 184 | Assert.IsTrue(IsAlmost(estimatedRatio, ratio, tolerance));
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| 185 | }
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| 186 |
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| 187 | [TestMethod]
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| 188 | [TestProperty("Time", "Short")]
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| 189 | [TestCategory("ErcTests")]
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| 190 | public void MixedStringVectorErcValueTests() {
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| 191 | var options = new StringVectorErcOptions(
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[14952] | 192 | new StringVectorConstantsErc(true, 0.8, new StringArray(new[] { "_1", "_2", "_3" }), new StringArray(new[] { "_4", "_5", "_5" })),
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| 193 | new StringVectorConstantsErc(true, 0.2, new StringArray(new[] { "-1", "-2", "-3" }), new StringArray(new[] { "-4", "-5", "-5" })));
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[14909] | 194 |
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| 195 | Assert.IsTrue(options.IsEnabled);
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| 196 |
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| 197 | var distribution = Enumerable.Range(0, 1000)
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| 198 | .Select(_ => options.GetErcValue(random))
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| 199 | .GroupBy(x => x.Any(_ => _.StartsWith("_")) ? "constants1" : "constants2")
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| 200 | .ToDictionary(group => group.Key, group => group.Count());
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| 201 |
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| 202 | var estimatedRatio = 0.8 / 0.2;
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| 203 | var ratio = distribution["constants1"] / (double)distribution["constants2"];
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| 204 |
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| 205 | Assert.IsTrue(IsAlmost(estimatedRatio, ratio, tolerance));
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| 206 | }
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| 207 |
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| 208 | private static bool IsAlmost(double x, double y, double tolerance) {
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| 209 | return y < x * (1 + tolerance) && y > x * (1 - tolerance);
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| 210 | }
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| 211 | }
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| 212 | }
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