// // Math.NET Numerics, part of the Math.NET Project // http://numerics.mathdotnet.com // http://github.com/mathnet/mathnet-numerics // http://mathnetnumerics.codeplex.com // // Copyright (c) 2009-2011 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. // namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Complex32 { using LinearAlgebra.Complex32; using LinearAlgebra.Generic; using Numerics; using NUnit.Framework; [TestFixture] public class SparseVectorArithmeticTheory : VectorArithmeticTheory { [Datapoints] Vector[] denseVectors = new Vector[] { new SparseVector(new[] { new Complex32(1, 1), new Complex32(2, 1), new Complex32(3, 1), new Complex32(4, 1), new Complex32(5, 1) }), new SparseVector(new[] { new Complex32(2, -1), new Complex32(0, 0), new Complex32(0, 2), new Complex32(-5, 1), new Complex32(0, 0) }), new SparseVector(5), new SparseVector(int.MaxValue) }; [Datapoints] private Complex32[] scalars = new[] { new Complex32(2f, -1f) }; } }