mathnet-numerics/src/UnitTests/LinearAlgebraTests/Complex/TestData.cs

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using System;
using MathNet.Numerics.LinearAlgebra;

namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Complex
{
#if NOSYSNUMERICS
    using Complex = Numerics.Complex;
#else
    using Complex = System.Numerics.Complex;
#endif

    public static class TestData
    {
        static readonly MatrixBuilder<Complex> M = Matrix<Complex>.Build;
        static readonly VectorBuilder<Complex> V = Vector<Complex>.Build;

        public static Matrix<Complex> Matrix(TestMatrix matrix)
        {
            switch (matrix)
            {
                case TestMatrix.DenseSquare3x3: return M.DenseOfArray(new[,] { { 1d, new Complex(1.1d, -4d), 2d }, { 1d, 1d, 2d }, { 1d, new Complex(1d, 2d), 2d } });
                case TestMatrix.DenseSquare3x3b: return M.DenseOfArray(new[,] { { -1.1d, -2.2d, -3.3d }, { 0d, 1.1d, new Complex(2.2d, -1.2d) }, { -4.4d, 5.5d, 6.6d } });
                case TestMatrix.DenseSquare3x3c: return M.DenseOfArray(new[,] { { 1d, 2d, 3d }, { 2d, new Complex(2d, 2d), 0d }, { 3d, Complex.Zero, 3d } });
                case TestMatrix.DenseSquare4x4: return M.DenseOfArray(new[,] { { new Complex(-1.1d, -2d), -2.2d, -3.3d, -4.4d }, { 0d, 1.1d, 2.2d, 3.3d }, { 1d, 2.1d, 6.2d, 4.3d }, { -4.4d, 5.5d, 6.6d, -7.7d } });
                case TestMatrix.DenseSquare4x4b: return M.DenseOfArray(new[,] { { -1.1d, new Complex(-2.2d, 3.4d), -3.3d, -4.4d }, { -1.1d, -2.2d, -3.3d, -4.4d }, { -1.1d, -2.2d, -3.3d, -4.4d }, { -1.1d, -2.2d, -3.3d, -4.4d } });
                case TestMatrix.DenseTall3x2: return M.DenseOfArray(new[,] { { -1.1d, -2.2d }, { Complex.Zero, 1.1d }, { -4.4d, 5.5d } });
                case TestMatrix.DenseWide2x3: return M.DenseOfArray(new[,] { { -1.1d, -2.2d, -3.3d }, { 0d, new Complex(1.1d, 0.1d), 2.2d } });

                case TestMatrix.SparseSquare3x3: return M.SparseOfArray(new[,]  { { 7d, 1d, 2d }, { 1d, 1d, 2d }, { 1d, 1d + Complex.ImaginaryOne, 2d } });
                case TestMatrix.SparseSquare3x3b: return M.SparseOfArray(new[,] { { 7d, 1d, 2d }, { new Complex(1d, 2d), 0d, Complex.Zero }, { -2d, 0d, 0d } });
                case TestMatrix.SparseWide2x3: return M.SparseOfArray(new[,] { { -1.1d, 0d, 0d }, { 0d, new Complex(1.1d, 2d), 2.2d } });

                case TestMatrix.DiagonalSquare3x3: return M.Diagonal(3, 3, new[] { new Complex(1d, 1d), -2d, 1.5d });
                case TestMatrix.DiagonalSquare3x3b: return M.Diagonal(3, 3, new[] { new Complex(1d, 2d), 0d, -1.5d });

                case TestMatrix.UserSquare3x3: return new UserDefinedMatrix(new[,] { { 0d, 1d, 2d }, { -1d, 7.7d, 0d }, { -2d, Complex.Zero, 0d } });
                default: throw new NotSupportedException();
            }
        }

        public static Vector<Complex> Vector(TestVector vector)
        {
            switch (vector)
            {
                case TestVector.Dense5: return V.Dense(new[] { new Complex(1, 1), new Complex(2, 1), new Complex(3, 1), new Complex(4, 1), new Complex(5, 1) });
                case TestVector.Dense5WithZeros: return V.Dense(new[] { new Complex(2, -1), new Complex(0, 0), new Complex(0, 2), new Complex(-5, 1), new Complex(0, 0) });

                case TestVector.Sparse5: return V.SparseOfEnumerable(new[] { new Complex(1, 1), new Complex(2, 1), new Complex(3, 1), new Complex(4, 1), new Complex(5, 1) });
                case TestVector.Sparse5WithZeros: return V.SparseOfEnumerable(new[] { new Complex(2, -1), new Complex(0, 0), new Complex(0, 2), new Complex(-5, 1), new Complex(0, 0) });
                case TestVector.Sparse5AllZeros: return V.Sparse(5);
                case TestVector.SparseMaxLengthAllZeros: return V.Sparse(int.MaxValue);

                default: throw new NotSupportedException();
            }
        }
    }
}