Math.NET Numerics
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// <copyright file="Combinatorics.cs" company="Math.NET">
// Math.NET Numerics, part of the Math.NET Project
// http://mathnet.opensourcedotnet.info
//
// Copyright (c) 2009 Math.NET
//
// Permission is hereby granted, free of charge, to any person
// obtaining a copy of this software and associated documentation
// files (the "Software"), to deal in the Software without
// restriction, including without limitation the rights to use,
// copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following
// conditions:
//
// The above copyright notice and this permission notice shall be
// included in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
// OTHER DEALINGS IN THE SOFTWARE.
// </copyright>
namespace MathNet.Numerics.UnitTests
{
using System;
using MbUnit.Framework;
using MathNet.Numerics.Distributions;
[TestFixture]
public class NormalTests
{
[Test, MultipleAsserts]
public void CanCreateStandardNormal()
{
var n = new Normal();
AssertEx.AreEqual<double>(0.0, n.Mean);
AssertEx.AreEqual<double>(1.0, n.StdDev);
}
[Test, MultipleAsserts]
[Row(0.0, 0.0)]
[Row(0.0, 0.1)]
[Row(0.0, 1.0)]
[Row(0.0, 10.0)]
[Row(10.0, 1.0)]
[Row(-5.0, 100.0)]
[Row(0.0, Double.PositiveInfinity)]
public void CanCreateNormal(double mean, double sdev)
{
var n = new Normal(mean, sdev);
AssertEx.AreEqual<double>(mean, n.Mean);
AssertEx.AreEqual<double>(sdev, n.StdDev);
}
[Test]
[ExpectedException(typeof(ArgumentOutOfRangeException))]
public void NormalCreateFailsWithMeanIsNaN()
{
var n = new Normal(Double.NaN, 1.0);
}
[Test]
[ExpectedException(typeof(ArgumentOutOfRangeException))]
public void NormalCreateFailsWithStdDevIsNaN()
{
var n = new Normal(0.0, Double.NaN);
}
[Test, MultipleAsserts]
[Row(0.0, 0.0)]
[Row(0.0, 0.1)]
[Row(0.0, 1.0)]
[Row(0.0, 10.0)]
[Row(10.0, 1.0)]
[Row(-5.0, 100.0)]
[Row(0.0, Double.PositiveInfinity)]
public void CanCreateNormalFromMeanAndStdDev(double mean, double sdev)
{
var n = Normal.WithMeanStdDev(mean, sdev);
AssertEx.AreEqual<double>(mean, n.Mean);
AssertEx.AreEqual<double>(sdev, n.StdDev);
}
[Test, MultipleAsserts]
[Row(0.0, 0.0)]
[Row(0.0, 0.1)]
[Row(0.0, 1.0)]
[Row(0.0, 10.0)]
[Row(10.0, 1.0)]
[Row(-5.0, 100.0)]
[Row(0.0, Double.PositiveInfinity)]
public void CanCreateNormalFromMeanAndVariance(double mean, double var)
{
var n = Normal.WithMeanVariance(mean, var);
AssertEx.AreEqual<double>(mean, n.Mean);
AssertEx.AreEqual<double>(var, n.Variance);
}
[Test, MultipleAsserts]
[Row(0.0, 0.0)]
[Row(0.0, 0.1)]
[Row(0.0, 1.0)]
[Row(0.0, 10.0)]
[Row(10.0, 1.0)]
[Row(-5.0, 100.0)]
[Row(0.0, Double.PositiveInfinity)]
public void CanCreateNormalFromMeanAndPrecision(double mean, double prec)
{
var n = Normal.WithMeanAndPrecision(mean, prec);
AssertEx.AreEqual<double>(mean, n.Mean);
AssertEx.AreEqual<double>(prec, n.Precision);
}
[Test]
public void ToStringTest()
{
var n = new Normal(1.0, 2.0);
AssertEx.AreEqual<string>("Normal(Mean = 1, StdDev = 2)", n.ToString());
}
[Test]
public void CanGetRandomNumberGenerator()
{
var n = new Normal();
var rs = n.RandomNumberGenerator;
Assert.IsNotNull(rs);
}
[Test]
public void CanSetRandomNumberGenerator()
{
var n = new Normal();
n.RandomNumberGenerator = new Random();
}
[Test]
[Row(-0.0)]
[Row(0.0)]
[Row(0.1)]
[Row(1.0)]
[Row(10.0)]
[Row(Double.PositiveInfinity)]
public void CanSetPrecision(double prec)
{
var n = new Normal();
n.Precision = prec;
}
[Test]
[ExpectedException(typeof(ArgumentOutOfRangeException))]
public void SetPrecisionFailsWithNegativePrecision()
{
var n = new Normal();
n.Precision = -1.0;
}
[Test]
[Row(-0.0)]
[Row(0.0)]
[Row(0.1)]
[Row(1.0)]
[Row(10.0)]
[Row(Double.PositiveInfinity)]
public void CanSetVariance(double var)
{
var n = new Normal();
n.Variance = var;
}
[Test]
[ExpectedException(typeof(ArgumentOutOfRangeException))]
public void SetVarianceFailsWithNegativeVariance()
{
var n = new Normal();
n.Variance = -1.0;
}
[Test]
[Row(-0.0)]
[Row(0.0)]
[Row(0.1)]
[Row(1.0)]
[Row(10.0)]
[Row(Double.PositiveInfinity)]
public void CanSetStdDev(double sdev)
{
var n = new Normal();
n.StdDev = sdev;
}
[Test]
[ExpectedException(typeof(ArgumentOutOfRangeException))]
public void SetStdDevFailsWithNegativeStdDev()
{
var n = new Normal();
n.StdDev = -1.0;
}
[Test]
[Row(Double.NegativeInfinity)]
[Row(-0.0)]
[Row(0.0)]
[Row(0.1)]
[Row(1.0)]
[Row(10.0)]
[Row(Double.PositiveInfinity)]
public void CanSetMean(double mean)
{
var n = new Normal();
n.Mean = mean;
}
}
}