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289 lines
9.1 KiB
289 lines
9.1 KiB
// <copyright file="DenseVectorTests.cs" company="Math.NET">
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// Math.NET Numerics, part of the Math.NET Project
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// http://numerics.mathdotnet.com
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// http://github.com/mathnet/mathnet-numerics
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// http://mathnetnumerics.codeplex.com
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// Copyright (c) 2009-2010 Math.NET
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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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// 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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// 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.LinearAlgebraTests.Double
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{
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using System;
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using System.Collections.Generic;
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using LinearAlgebra.Double;
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using MbUnit.Framework;
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public class DenseVectorTests : VectorTests
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{
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protected override Vector CreateVector(int size)
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{
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return new DenseVector(size);
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}
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protected override Vector CreateVector(IList<double> data)
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{
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var vector = new DenseVector(data.Count);
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for (var index = 0; index < data.Count; index++)
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{
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vector[index] = data[index];
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}
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return vector;
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}
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[Test]
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[MultipleAsserts]
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public void CanCreateDenseVectorFromArray()
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{
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var data = new double[Data.Length];
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Array.Copy(Data, data, Data.Length);
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var vector = new DenseVector(data);
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Assert.AreSame(data, vector.Data);
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for (var i = 0; i < data.Length; i++)
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{
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Assert.AreEqual(data[i], vector[i]);
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}
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vector[0] = 100.0;
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Assert.AreEqual(100.0, data[0]);
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}
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[Test]
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[MultipleAsserts]
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public void CanCreateDenseVectorFromAnotherDenseVector()
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{
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var vector = new DenseVector(Data);
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var other = new DenseVector(vector);
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Assert.AreNotSame(vector, other);
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for (var i = 0; i < Data.Length; i++)
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{
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Assert.AreEqual(vector[i], other[i]);
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}
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}
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[Test]
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[MultipleAsserts]
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public void CanCreateDenseVectorFromAnotherVector()
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{
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var vector = (Vector)new DenseVector(Data);
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var other = new DenseVector(vector);
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Assert.AreNotSame(vector, other);
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for (var i = 0; i < Data.Length; i++)
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{
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Assert.AreEqual(vector[i], other[i]);
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}
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}
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[Test]
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[MultipleAsserts]
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public void CanCreateDenseVectorFromUserDefinedVector()
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{
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var vector = new UserDefinedVector(Data);
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var other = new DenseVector(vector);
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for (var i = 0; i < Data.Length; i++)
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{
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Assert.AreEqual(vector[i], other[i]);
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}
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}
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[Test]
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public void CanCreateDenseVectorWithConstantValues()
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{
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var vector = new DenseVector(5, 5);
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Assert.ForAll(vector, value => value == 5);
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}
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[Test]
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[MultipleAsserts]
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public void CanCreateDenseMatrix()
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{
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var vector = new DenseVector(3);
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var matrix = vector.CreateMatrix(2, 3);
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Assert.AreEqual(2, matrix.RowCount);
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Assert.AreEqual(3, matrix.ColumnCount);
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}
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[Test]
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[MultipleAsserts]
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public void CanConvertDenseVectorToArray()
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{
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var vector = new DenseVector(Data);
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var array = (double[])vector;
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Assert.IsInstanceOfType(typeof(double[]), array);
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Assert.AreSame(vector.Data, array);
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Assert.AreElementsEqual(vector, array);
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}
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[Test]
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[MultipleAsserts]
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public void CanConvertArrayToDenseVector()
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{
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var array = new[] { 0.0, 1.0, 2.0, 3.0, 4.0 };
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var vector = (DenseVector)array;
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Assert.IsInstanceOfType(typeof(DenseVector), vector);
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Assert.AreElementsEqual(array, array);
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}
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[Test]
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public void CanCallUnaryPlusOperatorOnDenseVector()
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{
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var vector = new DenseVector(Data);
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var other = +vector;
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for (var i = 0; i < Data.Length; i++)
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{
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Assert.AreEqual(vector[i], other[i]);
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}
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}
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[Test]
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[MultipleAsserts]
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public void CanAddTwoDenseVectorsUsingOperator()
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{
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var vector = new DenseVector(Data);
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var other = new DenseVector(Data);
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var result = vector + other;
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for (var i = 0; i < Data.Length; i++)
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{
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Assert.AreEqual(Data[i], vector[i], "Making sure the original vector wasn't modified.");
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Assert.AreEqual(Data[i], other[i], "Making sure the original vector wasn't modified.");
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Assert.AreEqual(Data[i] * 2.0, result[i]);
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}
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}
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[Test]
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public void CanCallUnaryNegationOperatorOnDenseVector()
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{
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var vector = new DenseVector(Data);
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var other = -vector;
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for (var i = 0; i < Data.Length; i++)
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{
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Assert.AreEqual(-Data[i], other[i]);
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}
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}
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[Test]
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[MultipleAsserts]
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public void CanSubtractTwoDenseVectorsUsingOperator()
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{
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var vector = new DenseVector(Data);
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var other = new DenseVector(Data);
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var result = vector - other;
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for (var i = 0; i < Data.Length; i++)
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{
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Assert.AreEqual(Data[i], vector[i], "Making sure the original vector wasn't modified.");
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Assert.AreEqual(Data[i], other[i], "Making sure the original vector wasn't modified.");
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Assert.AreEqual(0.0, result[i]);
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}
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}
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[Test]
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[MultipleAsserts]
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public void CanMultiplyDenseVectorByScalarUsingOperators()
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{
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var vector = new DenseVector(Data);
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vector = vector * 2.0;
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for (var i = 0; i < Data.Length; i++)
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{
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Assert.AreEqual(Data[i] * 2.0, vector[i]);
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}
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vector = vector * 1.0;
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for (var i = 0; i < Data.Length; i++)
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{
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Assert.AreEqual(Data[i] * 2.0, vector[i]);
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}
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vector = new DenseVector(Data);
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vector = 2.0 * vector;
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for (var i = 0; i < Data.Length; i++)
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{
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Assert.AreEqual(Data[i] * 2.0, vector[i]);
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}
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vector = 1.0 * vector;
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for (var i = 0; i < Data.Length; i++)
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{
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Assert.AreEqual(Data[i] * 2.0, vector[i]);
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}
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}
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[Test]
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[MultipleAsserts]
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public void CanDivideDenseVectorByScalarUsingOperators()
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{
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var vector = new DenseVector(Data);
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vector = vector / 2.0;
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for (var i = 0; i < Data.Length; i++)
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{
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Assert.AreEqual(Data[i] / 2.0, vector[i]);
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}
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vector = vector / 1.0;
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for (var i = 0; i < Data.Length; i++)
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{
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Assert.AreEqual(Data[i] / 2.0, vector[i]);
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}
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}
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[Test]
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public void CanCalculateOuterProductForDenseVector()
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{
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var vector1 = CreateVector(Data);
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var vector2 = CreateVector(Data);
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Matrix m = Vector.OuterProduct(vector1, vector2);
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for (var i = 0; i < vector1.Count; i++)
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{
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for (var j = 0; j < vector2.Count; j++)
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{
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Assert.AreEqual(m[i, j], vector1[i] * vector2[j]);
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}
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}
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}
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[Test]
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[ExpectedArgumentNullException]
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public void OuterProducForDenseVectortWithFirstParameterNullShouldThrowException()
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{
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DenseVector vector1 = null;
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var vector2 = CreateVector(Data);
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Vector.OuterProduct(vector1, vector2);
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}
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[Test]
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[ExpectedArgumentNullException]
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public void OuterProductForDenseVectorWithSecondParameterNullShouldThrowException()
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{
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var vector1 = CreateVector(Data);
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DenseVector vector2 = null;
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Vector.OuterProduct(vector1, vector2);
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}
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}
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}
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