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Distributions: rework CommonDistributionTests to use test cases

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Christoph Ruegg 9 years ago
parent
9f03564208
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67295a7a7e
1 changed files with 50 additions and 77 deletions
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  1. 127
      src/Numerics.Tests/DistributionTests/CommonDistributionTests.cs

127
src/Numerics.Tests/DistributionTests/CommonDistributionTests.cs
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@ -28,7 +28,6 @@
// </copyright>
using System;
using System.Collections.Generic;
using System.Linq;
using MathNet.Numerics.Distributions;
using MathNet.Numerics.Random;
@ -50,8 +49,7 @@ namespace MathNet.Numerics.UnitTests.DistributionTests
public const double ErrorTolerance = 0.01;
public const double ErrorProbability = 0.001;
readonly List<IDiscreteDistribution> _discreteDistributions =
new List<IDiscreteDistribution>
static readonly IDiscreteDistribution[] DiscreteDistributions =
{
new Bernoulli(0.6),
new Binomial(0.7, 10),
@ -65,8 +63,7 @@ namespace MathNet.Numerics.UnitTests.DistributionTests
new Zipf(3.0, 10),
};
readonly List<IContinuousDistribution> _continuousDistributions =
new List<IContinuousDistribution>
static readonly IContinuousDistribution[] ContinuousDistributions =
{
new Beta(1.0, 1.0),
new BetaScaled(1.0, 1.5, 0.5, 2.0),
@ -90,100 +87,76 @@ namespace MathNet.Numerics.UnitTests.DistributionTests
new Weibull(1.0, 1.0),
};
[Test]
public void ValidateThatUnivariateDistributionsHaveRandomSource()
[Test, TestCaseSource(nameof(DiscreteDistributions))]
public void HasRandomSourceDiscrete(IDiscreteDistribution distribution)
{
foreach (var dd in _discreteDistributions)
{
Assert.IsNotNull(dd.RandomSource);
}
Assert.IsNotNull(distribution.RandomSource);
}
foreach (var cd in _continuousDistributions)
{
Assert.IsNotNull(cd.RandomSource);
}
[Test, TestCaseSource(nameof(ContinuousDistributions))]
public void HasRandomSourceContinuous(IContinuousDistribution distribution)
{
Assert.IsNotNull(distribution.RandomSource);
}
[Test]
public void CanSetRandomSource()
[Test, TestCaseSource(nameof(DiscreteDistributions))]
public void CanSetRandomSourceDiscrete(IDiscreteDistribution distribution)
{
foreach (var dd in _discreteDistributions)
{
dd.RandomSource = MersenneTwister.Default;
}
distribution.RandomSource = MersenneTwister.Default;
}
foreach (var cd in _continuousDistributions)
{
cd.RandomSource = MersenneTwister.Default;
}
[Test, TestCaseSource(nameof(ContinuousDistributions))]
public void CanSetRandomSourceContinuous(IContinuousDistribution distribution)
{
distribution.RandomSource = MersenneTwister.Default;
}
[Test]
public void HasRandomSourceEvenAfterSetToNull()
[Test, TestCaseSource(nameof(DiscreteDistributions))]
public void HasRandomSourceEvenAfterSetToNullDiscrete(IDiscreteDistribution distribution)
{
foreach (var dd in _discreteDistributions)
{
Assert.DoesNotThrow(() => dd.RandomSource = null);
Assert.IsNotNull(dd.RandomSource);
}
Assert.DoesNotThrow(() => distribution.RandomSource = null);
Assert.IsNotNull(distribution.RandomSource);
}
foreach (var cd in _continuousDistributions)
{
Assert.DoesNotThrow(() => cd.RandomSource = null);
Assert.IsNotNull(cd.RandomSource);
}
[Test, TestCaseSource(nameof(ContinuousDistributions))]
public void HasRandomSourceEvenAfterSetToNullContinuous(IContinuousDistribution distribution)
{
Assert.DoesNotThrow(() => distribution.RandomSource = null);
Assert.IsNotNull(distribution.RandomSource);
}
[Test, Category("LongRunning")]
public void DiscreteSampleIsDistributedCorrectly()
[Test, Category("LongRunning"), TestCaseSource(nameof(DiscreteDistributions))]
public void SampleIsDistributedCorrectlyDiscrete(IDiscreteDistribution distribution)
{
foreach (var dist in _discreteDistributions)
{
dist.RandomSource = new SystemRandomSource(1, false);
var samples = new int[NumberOfTestSamples];
for (var i = 0; i < NumberOfTestSamples; i++)
{
samples[i] = dist.Sample();
}
DiscreteVapnikChervonenkisTest(ErrorTolerance, ErrorProbability, samples, dist);
}
distribution.RandomSource = new SystemRandomSource(1, false);
var samples = new int[NumberOfTestSamples];
distribution.Samples(samples);
DiscreteVapnikChervonenkisTest(ErrorTolerance, ErrorProbability, samples, distribution);
}
[Test, Category("LongRunning")]
public void DiscreteSampleSequenceIsDistributedCorrectly()
[Test, Category("LongRunning"), TestCaseSource(nameof(DiscreteDistributions))]
public void SampleSequenceIsDistributedCorrectlyDiscrete(IDiscreteDistribution distribution)
{
foreach (var dist in _discreteDistributions)
{
dist.RandomSource = new SystemRandomSource(1, false);
var samples = dist.Samples().Take(NumberOfTestSamples).ToArray();
DiscreteVapnikChervonenkisTest(ErrorTolerance, ErrorProbability, samples, dist);
}
distribution.RandomSource = new SystemRandomSource(1, false);
var samples = distribution.Samples().Take(NumberOfTestSamples).ToArray();
DiscreteVapnikChervonenkisTest(ErrorTolerance, ErrorProbability, samples, distribution);
}
[Test, Category("LongRunning")]
public void ContinuousSampleIsDistributedCorrectly()
[Test, Category("LongRunning"), TestCaseSource(nameof(ContinuousDistributions))]
public void SampleIsDistributedCorrectlyContinuous(IContinuousDistribution distribution)
{
foreach (var dist in _continuousDistributions)
{
dist.RandomSource = new SystemRandomSource(1, false);
var samples = new double[NumberOfTestSamples];
for (var i = 0; i < NumberOfTestSamples; i++)
{
samples[i] = dist.Sample();
}
ContinuousVapnikChervonenkisTest(ErrorTolerance, ErrorProbability, samples, dist);
}
distribution.RandomSource = new SystemRandomSource(1, false);
var samples = new double[NumberOfTestSamples];
distribution.Samples(samples);
ContinuousVapnikChervonenkisTest(ErrorTolerance, ErrorProbability, samples, distribution);
}
[Test, Category("LongRunning")]
public void ContinuousSampleSequenceIsDistributedCorrectly()
[Test, Category("LongRunning"), TestCaseSource(nameof(ContinuousDistributions))]
public void SampleSequenceIsDistributedCorrectlyContinuous(IContinuousDistribution distribution)
{
foreach (var dist in _continuousDistributions)
{
dist.RandomSource = new SystemRandomSource(1, false);
var samples = dist.Samples().Take(NumberOfTestSamples).ToArray();
ContinuousVapnikChervonenkisTest(ErrorTolerance, ErrorProbability, samples, dist);
}
distribution.RandomSource = new SystemRandomSource(1, false);
var samples = distribution.Samples().Take(NumberOfTestSamples).ToArray();
ContinuousVapnikChervonenkisTest(ErrorTolerance, ErrorProbability, samples, distribution);
}
/// <summary>

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