Math.NET Numerics
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// <copyright file="SparseVectorTest.cs" company="Math.NET">
// Math.NET Numerics, part of the Math.NET Project
// http://numerics.mathdotnet.com
// http://github.com/mathnet/mathnet-numerics
//
// Copyright (c) 2009-2016 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.LinearAlgebraTests.Single
{
using LinearAlgebra;
using LinearAlgebra.Single;
using LinearAlgebra.Storage;
using NUnit.Framework;
using System;
using System.Collections.Generic;
/// <summary>
/// Sparse vector tests.
/// </summary>
[TestFixture, Category("LA")]
public class SparseVectorTest : VectorTests
{
/// <summary>
/// Creates a new instance of the Vector class.
/// </summary>
/// <param name="size">The size of the <strong>Vector</strong> to construct.</param>
/// <returns>The new <c>Vector</c>.</returns>
protected override Vector<float> CreateVector(int size)
{
return new SparseVector(size);
}
/// <summary>
/// Creates a new instance of the Vector class.
/// </summary>
/// <param name="data">The array to create this vector from.</param>
/// <returns>The new <c>Vector</c>.</returns>
protected override Vector<float> CreateVector(IList<float> data)
{
var vector = new SparseVector(data.Count);
for (var index = 0; index < data.Count; index++)
{
vector[index] = data[index];
}
return vector;
}
/// <summary>
/// Can create a sparse vector form array.
/// </summary>
[Test]
public void CanCreateSparseVectorFromArray()
{
var data = new float[Data.Length];
Array.Copy(Data, data, Data.Length);
var vector = SparseVector.OfEnumerable(data);
for (var i = 0; i < data.Length; i++)
{
Assert.AreEqual(data[i], vector[i]);
}
}
/// <summary>
/// Can create a sparse vector from another sparse vector.
/// </summary>
[Test]
public void CanCreateSparseVectorFromAnotherSparseVector()
{
var vector = SparseVector.OfEnumerable(Data);
var other = SparseVector.OfVector(vector);
Assert.AreNotSame(vector, other);
for (var i = 0; i < Data.Length; i++)
{
Assert.AreEqual(vector[i], other[i]);
}
}
/// <summary>
/// Can create a sparse vector from another vector.
/// </summary>
[Test]
public void CanCreateSparseVectorFromAnotherVector()
{
var vector = (Vector<float>)SparseVector.OfEnumerable(Data);
var other = SparseVector.OfVector(vector);
Assert.AreNotSame(vector, other);
for (var i = 0; i < Data.Length; i++)
{
Assert.AreEqual(vector[i], other[i]);
}
}
/// <summary>
/// Can create a sparse vector from user defined vector.
/// </summary>
[Test]
public void CanCreateSparseVectorFromUserDefinedVector()
{
var vector = new UserDefinedVector(Data);
var other = SparseVector.OfVector(vector);
for (var i = 0; i < Data.Length; i++)
{
Assert.AreEqual(vector[i], other[i]);
}
}
/// <summary>
/// Can create a sparse matrix.
/// </summary>
[Test]
public void CanCreateSparseMatrix()
{
var vector = new SparseVector(3);
var matrix = Matrix<float>.Build.SameAs(vector, 2, 3);
Assert.IsInstanceOf<SparseMatrix>(matrix);
Assert.AreEqual(2, matrix.RowCount);
Assert.AreEqual(3, matrix.ColumnCount);
}
/// <summary>
/// Can convert a sparse vector to an array.
/// </summary>
[Test]
public void CanConvertSparseVectorToArray()
{
var vector = SparseVector.OfEnumerable(Data);
var array = vector.ToArray();
Assert.IsInstanceOf(typeof (float[]), array);
CollectionAssert.AreEqual(vector, array);
}
/// <summary>
/// Can convert an array to a sparse vector.
/// </summary>
[Test]
public void CanConvertArrayToSparseVector()
{
var array = new[] {0.0f, 1.0f, 2.0f, 3.0f, 4.0f};
var vector = SparseVector.OfEnumerable(array);
Assert.IsInstanceOf(typeof (SparseVector), vector);
CollectionAssert.AreEqual(vector, array);
}
/// <summary>
/// Can multiply a sparse vector by a scalar using "*" operator.
/// </summary>
[Test]
public void CanMultiplySparseVectorByScalarUsingOperators()
{
var vector = SparseVector.OfEnumerable(Data);
vector = vector*2.0f;
for (var i = 0; i < Data.Length; i++)
{
Assert.AreEqual(Data[i]*2.0f, vector[i]);
}
vector = vector*1.0f;
for (var i = 0; i < Data.Length; i++)
{
Assert.AreEqual(Data[i]*2.0f, vector[i]);
}
vector = SparseVector.OfEnumerable(Data);
vector = 2.0f*vector;
for (var i = 0; i < Data.Length; i++)
{
Assert.AreEqual(Data[i]*2.0f, vector[i]);
}
vector = 1.0f*vector;
for (var i = 0; i < Data.Length; i++)
{
Assert.AreEqual(Data[i]*2.0f, vector[i]);
}
}
/// <summary>
/// Can divide a sparse vector by a scalar using "/" operator.
/// </summary>
[Test]
public void CanDivideSparseVectorByScalarUsingOperators()
{
var vector = SparseVector.OfEnumerable(Data);
vector = vector/2.0f;
for (var i = 0; i < Data.Length; i++)
{
Assert.AreEqual(Data[i]/2.0f, vector[i]);
}
vector = vector/1.0f;
for (var i = 0; i < Data.Length; i++)
{
Assert.AreEqual(Data[i]/2.0f, vector[i]);
}
}
/// <summary>
/// Can calculate an outer product for a sparse vector.
/// </summary>
[Test]
public void CanCalculateOuterProductForSparseVector()
{
var vector1 = CreateVector(Data);
var vector2 = CreateVector(Data);
var m = Vector<float>.OuterProduct(vector1, vector2);
for (var i = 0; i < vector1.Count; i++)
{
for (var j = 0; j < vector2.Count; j++)
{
Assert.AreEqual(m[i, j], vector1[i]*vector2[j]);
}
}
}
/// <summary>
/// Check sparse mechanism by setting values.
/// </summary>
[Test]
public void CheckSparseMechanismBySettingValues()
{
var vector = new SparseVector(10000);
var storage = (SparseVectorStorage<float>) vector.Storage;
// Add non-zero elements
vector[200] = 1.5f;
Assert.AreEqual(1.5f, vector[200]);
Assert.AreEqual(1, storage.ValueCount);
vector[500] = 3.5f;
Assert.AreEqual(3.5f, vector[500]);
Assert.AreEqual(2, storage.ValueCount);
vector[800] = 5.5f;
Assert.AreEqual(5.5f, vector[800]);
Assert.AreEqual(3, storage.ValueCount);
vector[0] = 7.5f;
Assert.AreEqual(7.5f, vector[0]);
Assert.AreEqual(4, storage.ValueCount);
// Remove non-zero elements
vector[200] = 0;
Assert.AreEqual(0, vector[200]);
Assert.AreEqual(3, storage.ValueCount);
vector[500] = 0;
Assert.AreEqual(0, vector[500]);
Assert.AreEqual(2, storage.ValueCount);
vector[800] = 0;
Assert.AreEqual(0, vector[800]);
Assert.AreEqual(1, storage.ValueCount);
vector[0] = 0;
Assert.AreEqual(0, vector[0]);
Assert.AreEqual(0, storage.ValueCount);
}
/// <summary>
/// Check sparse mechanism by zero multiply.
/// </summary>
[Test]
public void CheckSparseMechanismByZeroMultiply()
{
var vector = new SparseVector(10000);
// Add non-zero elements
vector[200] = 1.5f;
vector[500] = 3.5f;
vector[800] = 5.5f;
vector[0] = 7.5f;
// Multiply by 0
vector *= 0;
var storage = (SparseVectorStorage<float>) vector.Storage;
Assert.AreEqual(0, vector[200]);
Assert.AreEqual(0, vector[500]);
Assert.AreEqual(0, vector[800]);
Assert.AreEqual(0, vector[0]);
Assert.AreEqual(0, storage.ValueCount);
}
/// <summary>
/// Can calculate a dot product of two sparse vectors.
/// </summary>
[Test]
public void CanDotProductOfTwoSparseVectors()
{
var vectorA = new SparseVector(10000);
vectorA[200] = 1;
vectorA[500] = 3;
vectorA[800] = 5;
vectorA[100] = 7;
vectorA[900] = 9;
var vectorB = new SparseVector(10000);
vectorB[300] = 3;
vectorB[500] = 5;
vectorB[800] = 7;
Assert.AreEqual(50.0f, vectorA.DotProduct(vectorB));
}
/// <summary>
/// Can pointwise multiple a sparse vector.
/// </summary>
[Test]
public void CanPointwiseMultiplySparseVector()
{
var zeroArray = new[] {0.0f, 1.0f, 0.0f, 1.0f, 0.0f};
var vector1 = SparseVector.OfEnumerable(Data);
var vector2 = SparseVector.OfEnumerable(zeroArray);
var result = new SparseVector(vector1.Count);
vector1.PointwiseMultiply(vector2, result);
for (var i = 0; i < vector1.Count; i++)
{
Assert.AreEqual(Data[i]*zeroArray[i], result[i]);
}
var resultStorage = (SparseVectorStorage<float>) result.Storage;
Assert.AreEqual(2, resultStorage.ValueCount);
}
/// <summary>
/// Test for issues #52. When setting previous non-zero values to zero,
/// DoMultiply would copy non-zero values to the result, but use the
/// length of nonzerovalues instead of NonZerosCount.
/// </summary>
[Test]
public void CanScaleAVectorWhenSettingPreviousNonzeroElementsToZero()
{
var vector = new SparseVector(20);
vector[10] = 1.0f;
vector[11] = 2.0f;
vector[11] = 0.0f;
var scaled = new SparseVector(20);
vector.Multiply(3.0f, scaled);
Assert.AreEqual(3.0f, scaled[10]);
Assert.AreEqual(0.0f, scaled[11]);
}
}
}