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