diff --git a/MathNet.Numerics.Data.sln b/MathNet.Numerics.Data.sln
new file mode 100644
index 00000000..1941f4a3
--- /dev/null
+++ b/MathNet.Numerics.Data.sln
@@ -0,0 +1,49 @@
+
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio 2013
+VisualStudioVersion = 12.0.30501.0
+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Matlab", "src\Data\Matlab\Matlab.csproj", "{550FB330-C86F-4C9D-9B4C-6D830CEB7520}"
+EndProject
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "UnitTests", "src\DataUnitTests\UnitTests.csproj", "{6B0247F6-B332-41BC-B100-C0E5509EE612}"
+EndProject
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Text", "src\Data\Text\Text.csproj", "{9D3A08E1-6B96-4552-A535-412E589B3264}"
+EndProject
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Numerics", "src\Numerics\Numerics.csproj", "{B7CAE5F4-A23F-4438-B5BE-41226618B695}"
+EndProject
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+ GlobalSection(SolutionConfigurationPlatforms) = preSolution
+ Debug|Any CPU = Debug|Any CPU
+ Release|Any CPU = Release|Any CPU
+ Release-Signed|Any CPU = Release-Signed|Any CPU
+ EndGlobalSection
+ GlobalSection(ProjectConfigurationPlatforms) = postSolution
+ {550FB330-C86F-4C9D-9B4C-6D830CEB7520}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+ {550FB330-C86F-4C9D-9B4C-6D830CEB7520}.Debug|Any CPU.Build.0 = Debug|Any CPU
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diff --git a/RELEASENOTES.md b/RELEASENOTES.md
index 77e30992..f33b249e 100644
--- a/RELEASENOTES.md
+++ b/RELEASENOTES.md
@@ -2,7 +2,7 @@
* Linear Algebra: vector outer product now follows common style, supports explicit result argument, more efficient.
* Interpolation: must not modify/sort original data; alternative Sorted and Inplace functions.
* Distributions: static IsValidParameterSet functions.
-* Distributions: all distributions are now immutable in their distribution parameters.
+* Distributions: all distributions are now immutable in their distribution parameters. **Breaking.**
* NuGet: attempt to create proper symbol+source packages on symbolsource; primary packages smaller, w/o pdbs
* Build: skip long tests with new "quick" argument (FAKE)
* Build: clearing is more explicit, fixes most locking issues if solution is also open in IDE.
@@ -17,7 +17,7 @@
* matrix FoldRows/FoldColumns.
* matrix column/row norms, normalization.
* prefer enums over boolean parameters (e.g. `Zeros.AllowSkip`).
- * IsSymmetric is now a method, add IsConjugateSymmetric. **breaking**
+ * IsSymmetric is now a method, add IsConjugateSymmetric. **Breaking.**
* Eigenvalue decomposition can optionally skip symmetry test.
* Direct diagonal-scalar division implementation
* Test Functions: Rosenbrock, Rastrigin, DropWave, Ackley, Bohachevsky, Matyas, SixHumpCamel, Himmelblau
diff --git a/data/MatrixMarket/fidap007.mtx b/data/MatrixMarket/fidap007.mtx
new file mode 100644
index 00000000..a2babb5a
--- /dev/null
+++ b/data/MatrixMarket/fidap007.mtx
@@ -0,0 +1,54489 @@
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diff --git a/src/Data/Matlab/Adler32.cs b/src/Data/Matlab/Adler32.cs
new file mode 100644
index 00000000..0879dd9e
--- /dev/null
+++ b/src/Data/Matlab/Adler32.cs
@@ -0,0 +1,95 @@
+//
+// 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) 2009-2013 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.
+//
+
+/* This code is a port and simplification of
+ adler32.c -- compute the Adler-32 checksum of a data stream
+ Copyright (C) 1995-2011 Mark Adler
+ zlib license:
+ Copyright (C) 1995-2012 Jean-loup Gailly and Mark Adler
+
+ This software is provided 'as-is', without any express or implied
+ warranty. In no event will the authors be held liable for any damages
+ arising from the use of this software.
+
+ Permission is granted to anyone to use this software for any purpose,
+ including commercial applications, and to alter it and redistribute it
+ freely, subject to the following restrictions:
+
+ 1. The origin of this software must not be misrepresented; you must not
+ claim that you wrote the original software. If you use this software
+ in a product, an acknowledgment in the product documentation would be
+ appreciated but is not required.
+ 2. Altered source versions must be plainly marked as such, and must not be
+ misrepresented as being the original software.
+ 3. This notice may not be removed or altered from any source distribution.
+
+ Jean-loup Gailly Mark Adler
+ jloup@gzip.org madler@alumni.caltech.edu
+
+*/
+
+namespace MathNet.Numerics.Data.Matlab
+{
+ internal static class Adler32
+ {
+ /* largest prime smaller than 65536 */
+ const int Base = 65521;
+ /* NMAX is the largest n such that 255n(n+1)/2 + (n+1)(BASE-1) <= 2^32-1 */
+ const int Nmax = 5552;
+
+ ///
+ /// Computes the Adler-32 checksum of the given data.
+ ///
+ /// The data to create the checksum.
+ /// The checksum
+ public static uint Compute(byte[] data)
+ {
+ uint adler = 1;
+ uint sum2 = 0;
+ var len = data.Length;
+ var offset = 0;
+ while (len > 0)
+ {
+ var tlen = len < Nmax ? len : Nmax;
+ len -= tlen;
+
+ do
+ {
+ adler += data[offset++];
+ sum2 += adler;
+ } while (--tlen > 0);
+
+ adler %= Base;
+ sum2 %= Base;
+ }
+ return adler | (sum2 << 16);
+ }
+ }
+}
diff --git a/src/Data/Matlab/ArrayClass.cs b/src/Data/Matlab/ArrayClass.cs
new file mode 100644
index 00000000..11c045c5
--- /dev/null
+++ b/src/Data/Matlab/ArrayClass.cs
@@ -0,0 +1,123 @@
+//
+// 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) 2009-2013 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.Data.Matlab
+{
+ ///
+ /// Enumeration for the Matlab array types
+ ///
+ internal enum ArrayClass : byte
+ {
+ ///
+ /// mxUNKNOWN CLASS
+ ///
+ Unknown = 0,
+
+ ///
+ /// mxCELL CLASS
+ ///
+ Cell = 1,
+
+ ///
+ /// mxSTRUCT CLASS
+ ///
+ Structure = 2,
+
+ ///
+ /// mxOBJECT CLASS
+ ///
+ Object = 3,
+
+ ///
+ /// mxCHAR CLASS
+ ///
+ Character = 4,
+
+ ///
+ /// mxSPARSE CLASS
+ ///
+ Sparse = 5,
+
+ ///
+ /// mxDOUBLE CLASS
+ ///
+ Double = 6,
+
+ ///
+ /// mxSINGLE CLASS
+ ///
+ Single = 7,
+
+ ///
+ /// mxINT8 CLASS
+ ///
+ Int8 = 8,
+
+ ///
+ /// mxUINT8 CLASS
+ ///
+ UInt8 = 9,
+
+ ///
+ /// mxINT16 CLASS
+ ///
+ Int16 = 10,
+
+ ///
+ /// mxUINT16 CLASS
+ ///
+ UInt16 = 11,
+
+ ///
+ /// mxINT32 CLASS
+ ///
+ Int32 = 12,
+
+ ///
+ /// mxUINT32 CLASS
+ ///
+ UInt32 = 13,
+
+ ///
+ /// mxINT64 CLASS
+ ///
+ Int64 = 14,
+
+ ///
+ /// mxUINT64 CLASS
+ ///
+ UInt64 = 15,
+
+ ///
+ /// mxFUNCTION CLASS
+ ///
+ Function = 16
+ }
+}
diff --git a/src/Data/Matlab/ArrayFlags.cs b/src/Data/Matlab/ArrayFlags.cs
new file mode 100644
index 00000000..9fb40976
--- /dev/null
+++ b/src/Data/Matlab/ArrayFlags.cs
@@ -0,0 +1,56 @@
+//
+// 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) 2009-2013 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.
+//
+
+using System;
+
+namespace MathNet.Numerics.Data.Matlab
+{
+ ///
+ /// Matlab Array Flags
+ ///
+ [Flags]
+ internal enum ArrayFlags
+ {
+ ///
+ /// Complex flag
+ ///
+ Complex = 8,
+
+ ///
+ /// Global flag
+ ///
+ Global = 4,
+
+ ///
+ /// Logical flag
+ ///
+ Logical = 2
+ }
+}
diff --git a/src/Data/Matlab/DataType.cs b/src/Data/Matlab/DataType.cs
new file mode 100644
index 00000000..bcf3b5db
--- /dev/null
+++ b/src/Data/Matlab/DataType.cs
@@ -0,0 +1,118 @@
+//
+// 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) 2009-2013 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.Data.Matlab
+{
+ ///
+ /// Matlab data types
+ ///
+ internal enum DataType
+ {
+ ///
+ /// Unkown type
+ ///
+ Unknown = 0,
+
+ ///
+ /// miINT8 type
+ ///
+ Int8 = 1,
+
+ ///
+ /// miUINT8 type
+ ///
+ UInt8 = 2,
+
+ ///
+ /// miINT16 type
+ ///
+ Int16 = 3,
+
+ ///
+ /// miUINT16 type
+ ///
+ UInt16 = 4,
+
+ ///
+ /// miINT32 type
+ ///
+ Int32 = 5,
+
+ ///
+ /// miUINT32 type
+ ///
+ UInt32 = 6,
+
+ ///
+ /// miSINGLE type
+ ///
+ Single = 7,
+
+ ///
+ /// miDOUBLE type
+ ///
+ Double = 9,
+
+ ///
+ /// miINT64 type
+ ///
+ Int64 = 12,
+
+ ///
+ /// miUINT6 4type
+ ///
+ UInt64 = 13,
+
+ ///
+ /// miMATRIX type
+ ///
+ Matrix = 14,
+
+ ///
+ /// miCOMPRESSED type
+ ///
+ Compressed = 15,
+
+ ///
+ /// miUTF8 type
+ ///
+ Utf8 = 16,
+
+ ///
+ /// miUTF16 type
+ ///
+ Utf16 = 17,
+
+ ///
+ /// miUTF32 type
+ ///
+ Utf32 = 18
+ }
+}
diff --git a/src/Data/Matlab/Matlab.csproj b/src/Data/Matlab/Matlab.csproj
new file mode 100644
index 00000000..037bb356
--- /dev/null
+++ b/src/Data/Matlab/Matlab.csproj
@@ -0,0 +1,75 @@
+
+
+
+
+ Debug
+ AnyCPU
+ {550FB330-C86F-4C9D-9B4C-6D830CEB7520}
+ Library
+ Properties
+ MathNet.Numerics.Data.Matlab
+ MathNet.Numerics.Data.Matlab
+ v4.0
+ 512
+
+
+ true
+ full
+ false
+ ..\..\..\out\lib-debug\Net40\
+ ..\..\..\obj\lib-debug\Net40\
+ ..\..\..\obj\lib-debug\Net40\
+ DEBUG;TRACE
+ prompt
+ 4
+
+
+ pdbonly
+ true
+ ..\..\..\out\lib\Net40\
+ ..\..\..\obj\lib\Net40\
+ ..\..\..\obj\lib\Net40\
+ ..\..\..\out\lib\Net40\MathNet.Numerics.Data.Matlab.xml
+ TRACE
+ prompt
+ 4
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ {b7cae5f4-a23f-4438-b5be-41226618b695}
+ Numerics
+
+
+
+
+
\ No newline at end of file
diff --git a/src/Data/Matlab/MatlabFile.cs b/src/Data/Matlab/MatlabFile.cs
new file mode 100644
index 00000000..b352576d
--- /dev/null
+++ b/src/Data/Matlab/MatlabFile.cs
@@ -0,0 +1,86 @@
+//
+// 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) 2009-2013 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.
+//
+
+using System;
+using System.Collections.Generic;
+using MathNet.Numerics.LinearAlgebra;
+
+namespace MathNet.Numerics.Data.Matlab
+{
+ ///
+ /// Represents a Matlab file
+ ///
+ /// The data type of the matrix to return.
+ internal class MatlabFile where TDataType : struct, IEquatable, IFormattable
+ {
+ ///
+ /// Matrices in a matlab file stored as 1-D arrays
+ ///
+ private readonly IDictionary> _matrices = new SortedList>();
+
+ ///
+ /// Gets or sets the header text.
+ ///
+ /// The header text.
+ public string HeaderText { get; set; }
+
+ ///
+ /// Gets or sets the first name of the matrix.
+ ///
+ /// The first name of the matrix.
+ public string FirstMatrixName { get; set; }
+
+ ///
+ /// Gets the first matrix.
+ ///
+ /// The first matrix.
+ public Matrix FirstMatrix
+ {
+ get
+ {
+ if (string.IsNullOrEmpty(FirstMatrixName) || !_matrices.ContainsKey(FirstMatrixName))
+ {
+ return null;
+ }
+
+ return _matrices[FirstMatrixName];
+ }
+ }
+
+ ///
+ /// Gets the matrices.
+ ///
+ /// The matrices.
+ public IDictionary> Matrices
+ {
+ get { return _matrices; }
+ }
+ }
+}
diff --git a/src/Data/Matlab/MatlabParser.cs b/src/Data/Matlab/MatlabParser.cs
new file mode 100644
index 00000000..6415c593
--- /dev/null
+++ b/src/Data/Matlab/MatlabParser.cs
@@ -0,0 +1,1525 @@
+//
+// 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) 2009-2013 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.
+//
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.IO.Compression;
+using System.Numerics;
+using System.Text;
+using MathNet.Numerics.LinearAlgebra;
+using MathNet.Numerics.Properties;
+
+namespace MathNet.Numerics.Data.Matlab
+{
+ ///
+ /// Parse a Matlab file
+ ///
+ /// The data type of the matrix.
+ internal class MatlabParser
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ ///
+ /// Large Block Size
+ ///
+ const int LargeBlockSize = 8;
+
+ ///
+ /// Little Endian Indicator
+ ///
+ const byte LittleEndianIndicator = 0x49;
+
+ ///
+ /// Small Block Size
+ ///
+ const int SmallBlockSize = 4;
+
+ ///
+ /// Holds the names of the matrices in the file.
+ ///
+ readonly IList _names = new List();
+
+ ///
+ /// The stream to read the matlab file from.
+ ///
+ readonly Stream _stream;
+
+ ///
+ /// Initializes a new instance of the class.
+ ///
+ /// Name of the file.
+ public MatlabParser(string fileName)
+ : this(fileName, new string[0])
+ {
+ }
+
+ ///
+ /// Initializes a new instance of the class.
+ ///
+ /// The stream to read from.
+ public MatlabParser(Stream stream)
+ : this(stream, new string[0])
+ {
+ }
+
+ ///
+ /// Initializes a new instance of the class.
+ ///
+ /// The stream to read from.
+ /// The name of the objects to retrieve.
+ public MatlabParser(Stream stream, IEnumerable objectNames)
+ {
+ if (stream == null)
+ {
+ throw new ArgumentNullException("stream");
+ }
+
+ _stream = stream;
+ SetNames(objectNames);
+ }
+
+ ///
+ /// Initializes a new instance of the class.
+ ///
+ /// Name of the file.
+ /// The name of the objects to retrieve.
+ public MatlabParser(string fileName, IEnumerable objectNames)
+ {
+ if (string.IsNullOrEmpty(fileName))
+ {
+ throw new ArgumentException(Resources.StringNullOrEmpty, "fileName");
+ }
+
+ _stream = File.OpenRead(fileName);
+ SetNames(objectNames);
+ }
+
+ ///
+ /// Copies the names of the objects to retrieve to a local field.
+ ///
+ /// The name of the objects to retrieve.
+ void SetNames(IEnumerable objectNames)
+ {
+ foreach (var name in objectNames)
+ {
+ _names.Add(name);
+ }
+ }
+
+ ///
+ /// Parses the file.
+ ///
+ /// The parsed Matlab file as a object.
+ public MatlabFile Parse()
+ {
+ var file = new MatlabFile();
+
+ using (var reader = new BinaryReader(_stream))
+ {
+ file.HeaderText = Encoding.ASCII.GetString(reader.ReadBytes(116));
+
+ // skipping subsystem offsets
+ reader.BaseStream.Position = 126;
+
+ if (reader.ReadByte() != LittleEndianIndicator)
+ {
+ throw new NotSupportedException(Resources.BigEndianNotSupported);
+ }
+
+ // skip version since it is always 0x0100.
+ reader.BaseStream.Position = 128;
+ var length = _stream.Length;
+
+ // for each data block add a Matlab object to the file.
+ while (reader.BaseStream.Position < length)
+ {
+ var type = (DataType) reader.ReadInt16();
+ int size = reader.ReadInt16();
+ var smallBlock = true;
+ if (size == 0)
+ {
+ size = reader.ReadInt32();
+ smallBlock = false;
+ }
+
+ byte[] data;
+ if (type == DataType.Compressed)
+ {
+ data = DecompressBlock(reader.ReadBytes(size), out type);
+ }
+ else
+ {
+ data = new byte[size];
+ reader.Read(data, 0, size);
+ AlignData(reader.BaseStream, size, smallBlock);
+ }
+
+ if (type == DataType.Matrix)
+ {
+ AddMatrix(data, file);
+ }
+ else
+ {
+ throw new NotSupportedException(string.Format(Resources.NotSupportedType, type));
+ }
+ }
+ }
+
+ return file;
+ }
+
+ ///
+ /// Aligns the data.
+ ///
+ /// The stream.
+ /// The size of the array.
+ /// if set to true if reading from a small block.
+ static void AlignData(Stream stream, int size, bool smallBlock)
+ {
+ var blockSize = smallBlock ? SmallBlockSize : LargeBlockSize;
+ var offset = 0;
+ var mod = size%blockSize;
+ if (mod != 0)
+ {
+ offset = blockSize - mod;
+ }
+
+ stream.Seek(offset, SeekOrigin.Current);
+ }
+
+ ///
+ /// Decompresses the block.
+ ///
+ /// The compressed data.
+ /// The type data type contained in the block.
+ /// The decompressed block.
+ static byte[] DecompressBlock(byte[] compressed, out DataType type)
+ {
+ byte[] data;
+ using (var compressedStream = new MemoryStream(compressed, 2, compressed.Length - 6))
+ {
+ using (var decompressor = new DeflateStream(compressedStream, CompressionMode.Decompress))
+ using (var decompressed = new MemoryStream())
+ {
+ decompressor.CopyTo(decompressed);
+ decompressed.Position = 0;
+ var buf = new byte[4];
+ decompressed.Read(buf, 0, 4);
+ type = (DataType) BitConverter.ToInt32(buf, 0);
+ decompressed.Read(buf, 0, 4);
+ var size = BitConverter.ToInt32(buf, 0);
+ data = new byte[size];
+ decompressed.Read(data, 0, size);
+ }
+ }
+
+ return data;
+ }
+
+ ///
+ /// Adds a matrix from the actual file into our presentation of a matlab file.
+ ///
+ /// The data of the matrix.
+ /// The instance.
+ void AddMatrix(byte[] data, MatlabFile file)
+ {
+ using (var ms = new MemoryStream(data))
+ {
+ using (var reader = new BinaryReader(ms))
+ {
+ // skip tag - doesn't tell us anything we don't already know
+ reader.BaseStream.Seek(8, SeekOrigin.Current);
+
+ var arrayClass = (ArrayClass) reader.ReadByte();
+ var flags = reader.ReadByte();
+ var isComplex = (flags & (byte) ArrayFlags.Complex) == (byte) ArrayFlags.Complex;
+
+ // skip unneeded bytes
+ reader.BaseStream.Seek(10, SeekOrigin.Current);
+
+ var numDimensions = reader.ReadInt32()/8;
+ if (numDimensions > 2)
+ {
+ throw new NotSupportedException(Resources.MoreThan2D);
+ }
+
+ var rows = reader.ReadInt32();
+ var columns = reader.ReadInt32();
+
+ // skip unneeded bytes
+ reader.BaseStream.Seek(2, SeekOrigin.Current);
+ int size = reader.ReadInt16();
+ var smallBlock = true;
+ if (size == 0)
+ {
+ size = reader.ReadInt32();
+ smallBlock = false;
+ }
+
+ var name = Encoding.ASCII.GetString(reader.ReadBytes(size));
+ AlignData(reader.BaseStream, size, smallBlock);
+
+ // only grab wanted objects
+ if (_names.Count != 0 && !_names.Contains(name))
+ {
+ return;
+ }
+
+ var type = (DataType) reader.ReadInt16();
+ size = reader.ReadInt16();
+ if (size == 0)
+ {
+ size = reader.ReadInt32();
+ }
+
+ Matrix matrix;
+ switch (arrayClass)
+ {
+ case ArrayClass.Sparse:
+ matrix = PopulateSparseMatrix(reader, isComplex, rows, columns, size);
+ break;
+ case ArrayClass.Function:
+ case ArrayClass.Character:
+ case ArrayClass.Object:
+ case ArrayClass.Structure:
+ case ArrayClass.Cell:
+ case ArrayClass.Unknown:
+ throw new NotSupportedException();
+ default:
+ matrix = PopulateDenseMatrix(type, reader, isComplex, rows, columns, size);
+ break;
+ }
+
+ file.Matrices.Add(name, matrix);
+ if (file.FirstMatrixName == null)
+ {
+ file.FirstMatrixName = name;
+ }
+ }
+ }
+ }
+
+ ///
+ /// Populates a sparse matrix.
+ ///
+ /// The reader.
+ /// if set to true if the Matlab complex flag is set.
+ /// The number of rows.
+ /// The number of columns.
+ /// The size of the block.
+ /// A populated sparse matrix.
+ static Matrix PopulateSparseMatrix(BinaryReader reader, bool isComplex, int rows, int columns, int size)
+ {
+ // populate the row data array
+ var ir = new int[size/4];
+ for (var i = 0; i < ir.Length; i++)
+ {
+ ir[i] = reader.ReadInt32();
+ }
+
+ AlignData(reader.BaseStream, size, false);
+
+ // skip data type since it will always be int32
+ reader.BaseStream.Seek(4, SeekOrigin.Current);
+
+ // populate the column data array
+ var jcsize = reader.ReadInt32();
+ var jc = new int[jcsize/4];
+ for (var j = 0; j < jc.Length; j++)
+ {
+ jc[j] = reader.ReadInt32();
+ }
+
+ AlignData(reader.BaseStream, jcsize, false);
+
+ var type = (DataType) reader.ReadInt32();
+ var dataSize = reader.ReadInt32();
+
+ var matrix = Matrix.Build.Sparse(rows, columns);
+ var dataType = typeof (TDataType);
+
+ if (dataType == typeof (double))
+ {
+ if (isComplex)
+ {
+ throw new ArgumentException("Invalid TDataType. Matrix is stored as a complex matrix, but a real data type was given.");
+ }
+
+ PopulateDoubleSparseMatrix((Matrix) (object) matrix, type, ir, jc, reader);
+ }
+ else if (dataType == typeof (float))
+ {
+ if (isComplex)
+ {
+ throw new ArgumentException("Invalid TDataType. Matrix is stored as a complex matrix, but a real data type was given.");
+ }
+
+ PopulateSingleSparseMatrix((Matrix) (object) matrix, type, ir, jc, reader);
+ }
+ else if (dataType == typeof (Complex))
+ {
+ PopulateComplexSparseMatrix((Matrix) (object) matrix, type, isComplex, ir, jc, reader, dataSize);
+ }
+ else if (dataType == typeof (Complex32))
+ {
+ PopulateComplex32SparseMatrix((Matrix) (object) matrix, type, isComplex, ir, jc, reader, dataSize);
+ }
+ else
+ {
+ throw new NotSupportedException();
+ }
+
+ return matrix;
+ }
+
+ ///
+ /// Populates the double sparse matrix.
+ ///
+ /// The matrix to populate
+ /// The Matlab data type.
+ /// The row indices.
+ /// The column indices.
+ /// The reader to read from.
+ static void PopulateDoubleSparseMatrix(Matrix matrix, DataType type, IList ir, IList jc, BinaryReader reader)
+ {
+ var col = 0;
+ for (var i = 0; i < ir.Count; i++)
+ {
+ var row = ir[i];
+ while (jc[col + 1] == i)
+ {
+ col++;
+ }
+
+ switch (type)
+ {
+ case DataType.Int8:
+ matrix.At(row, col, reader.ReadSByte());
+ break;
+ case DataType.UInt8:
+ matrix.At(row, col, reader.ReadByte());
+ break;
+ case DataType.Int16:
+ matrix.At(row, col, reader.ReadInt16());
+ break;
+ case DataType.UInt16:
+ matrix.At(row, col, reader.ReadUInt16());
+ break;
+ case DataType.Int32:
+ matrix.At(row, col, reader.ReadInt32());
+ break;
+ case DataType.UInt32:
+ matrix.At(row, col, reader.ReadUInt32());
+ break;
+ case DataType.Single:
+ matrix.At(row, col, reader.ReadSingle());
+ break;
+ case DataType.Int64:
+ matrix.At(row, col, reader.ReadInt64());
+ break;
+ case DataType.UInt64:
+ matrix.At(row, col, reader.ReadUInt64());
+ break;
+ case DataType.Double:
+ matrix.At(row, col, reader.ReadDouble());
+ break;
+ default:
+ throw new NotSupportedException();
+ }
+ }
+ }
+
+ ///
+ /// Populates the float sparse matrix.
+ ///
+ /// The matrix to populate
+ /// The Matlab data type.
+ /// The row indices.
+ /// The column indices.
+ /// The reader to read from.
+ static void PopulateSingleSparseMatrix(Matrix matrix, DataType type, IList ir, IList jc, BinaryReader reader)
+ {
+ var col = 0;
+ for (var i = 0; i < ir.Count; i++)
+ {
+ var row = ir[i];
+ while (jc[col + 1] == i)
+ {
+ col++;
+ }
+
+ switch (type)
+ {
+ case DataType.Int8:
+ matrix.At(row, col, reader.ReadSByte());
+ break;
+ case DataType.UInt8:
+ matrix.At(row, col, reader.ReadByte());
+ break;
+ case DataType.Int16:
+ matrix.At(row, col, reader.ReadInt16());
+ break;
+ case DataType.UInt16:
+ matrix.At(row, col, reader.ReadUInt16());
+ break;
+ case DataType.Int32:
+ matrix.At(row, col, reader.ReadInt32());
+ break;
+ case DataType.UInt32:
+ matrix.At(row, col, reader.ReadUInt32());
+ break;
+ case DataType.Single:
+ matrix.At(row, col, reader.ReadSingle());
+ break;
+ case DataType.Int64:
+ matrix.At(row, col, reader.ReadInt64());
+ break;
+ case DataType.UInt64:
+ matrix.At(row, col, reader.ReadUInt64());
+ break;
+ case DataType.Double:
+ matrix.At(row, col, Convert.ToSingle(reader.ReadDouble()));
+ break;
+ default:
+ throw new NotSupportedException();
+ }
+ }
+ }
+
+ ///
+ /// Populates the complex sparse matrix.
+ ///
+ /// The matrix to populate
+ /// The Matlab data type.
+ /// if set to true if the Matlab complex flag is set.
+ /// The row indices.
+ /// The column indices.
+ /// The reader to read from.
+ /// The length of the stored data.
+ static void PopulateComplexSparseMatrix(Matrix matrix, DataType type, bool isComplex, IList ir, IList jc, BinaryReader reader, int dataSize)
+ {
+ var col = 0;
+ for (var i = 0; i < ir.Count; i++)
+ {
+ var row = ir[i];
+ while (jc[col + 1] == i)
+ {
+ col++;
+ }
+
+ switch (type)
+ {
+ case DataType.Int8:
+ matrix.At(row, col, reader.ReadSByte());
+ break;
+ case DataType.UInt8:
+ matrix.At(row, col, reader.ReadByte());
+ break;
+ case DataType.Int16:
+ matrix.At(row, col, reader.ReadInt16());
+ break;
+ case DataType.UInt16:
+ matrix.At(row, col, reader.ReadUInt16());
+ break;
+ case DataType.Int32:
+ matrix.At(row, col, reader.ReadInt32());
+ break;
+ case DataType.UInt32:
+ matrix.At(row, col, reader.ReadUInt32());
+ break;
+ case DataType.Single:
+ matrix.At(row, col, reader.ReadSingle());
+ break;
+ case DataType.Int64:
+ matrix.At(row, col, reader.ReadInt64());
+ break;
+ case DataType.UInt64:
+ matrix.At(row, col, reader.ReadUInt64());
+ break;
+ case DataType.Double:
+ matrix.At(row, col, reader.ReadDouble());
+ break;
+ default:
+ throw new NotSupportedException();
+ }
+ }
+
+ if (isComplex)
+ {
+ var skip = dataSize%8;
+
+ // skip pad
+ reader.ReadBytes(skip);
+
+ // skip header
+ type = (DataType) reader.ReadInt32();
+ reader.ReadInt32();
+ col = 0;
+ for (var i = 0; i < ir.Count; i++)
+ {
+ var row = ir[i];
+ while (jc[col + 1] == i)
+ {
+ col++;
+ }
+
+ var real = matrix.At(row, col).Real;
+ switch (type)
+ {
+ case DataType.Int8:
+ matrix.At(row, col, new Complex(real, reader.ReadSByte()));
+ break;
+ case DataType.UInt8:
+ matrix.At(row, col, new Complex(real, reader.ReadByte()));
+ break;
+ case DataType.Int16:
+ matrix.At(row, col, new Complex(real, reader.ReadInt16()));
+ break;
+ case DataType.UInt16:
+ matrix.At(row, col, new Complex(real, reader.ReadUInt16()));
+ break;
+ case DataType.Int32:
+ matrix.At(row, col, new Complex(real, reader.ReadInt32()));
+ break;
+ case DataType.UInt32:
+ matrix.At(row, col, new Complex(real, reader.ReadUInt32()));
+ break;
+ case DataType.Single:
+ matrix.At(row, col, new Complex(real, reader.ReadSingle()));
+ break;
+ case DataType.Int64:
+ matrix.At(row, col, new Complex(real, reader.ReadInt64()));
+ break;
+ case DataType.UInt64:
+ matrix.At(row, col, new Complex(real, reader.ReadUInt64()));
+ break;
+ case DataType.Double:
+ matrix.At(row, col, new Complex(real, reader.ReadDouble()));
+ break;
+ default:
+ throw new NotSupportedException();
+ }
+ }
+ }
+ }
+
+ ///
+ /// Populates the complex32 sparse matrix.
+ ///
+ /// The matrix to populate
+ /// The Matlab data type.
+ /// if set to true if the Matlab complex flag is set.
+ /// The row indices.
+ /// The column indices.
+ /// The reader to read from.
+ /// The length of the stored data.
+ static void PopulateComplex32SparseMatrix(Matrix matrix, DataType type, bool isComplex, IList ir, IList jc, BinaryReader reader, int dataSize)
+ {
+ var col = 0;
+ for (var i = 0; i < ir.Count; i++)
+ {
+ var row = ir[i];
+ while (jc[col + 1] == i)
+ {
+ col++;
+ }
+
+ switch (type)
+ {
+ case DataType.Int8:
+ matrix.At(row, col, reader.ReadSByte());
+ break;
+ case DataType.UInt8:
+ matrix.At(row, col, reader.ReadByte());
+ break;
+ case DataType.Int16:
+ matrix.At(row, col, reader.ReadInt16());
+ break;
+ case DataType.UInt16:
+ matrix.At(row, col, reader.ReadUInt16());
+ break;
+ case DataType.Int32:
+ matrix.At(row, col, reader.ReadInt32());
+ break;
+ case DataType.UInt32:
+ matrix.At(row, col, reader.ReadUInt32());
+ break;
+ case DataType.Single:
+ matrix.At(row, col, reader.ReadSingle());
+ break;
+ case DataType.Int64:
+ matrix.At(row, col, reader.ReadInt64());
+ break;
+ case DataType.UInt64:
+ matrix.At(row, col, reader.ReadUInt64());
+ break;
+ case DataType.Double:
+ matrix.At(row, col, Convert.ToSingle(reader.ReadDouble()));
+ break;
+ default:
+ throw new NotSupportedException();
+ }
+ }
+
+ if (isComplex)
+ {
+ var skip = dataSize%8;
+
+ // skip pad
+ reader.ReadBytes(skip);
+
+ // skip header
+ type = (DataType) reader.ReadInt32();
+ reader.ReadInt32();
+
+ col = 0;
+ for (var i = 0; i < ir.Count; i++)
+ {
+ var row = ir[i];
+ while (jc[col + 1] == i)
+ {
+ col++;
+ }
+
+ var real = matrix.At(row, col).Real;
+ switch (type)
+ {
+ case DataType.Int8:
+ matrix.At(row, col, new Complex32(real, reader.ReadSByte()));
+ break;
+ case DataType.UInt8:
+ matrix.At(row, col, new Complex32(real, reader.ReadByte()));
+ break;
+ case DataType.Int16:
+ matrix.At(row, col, new Complex32(real, reader.ReadInt16()));
+ break;
+ case DataType.UInt16:
+ matrix.At(row, col, new Complex32(real, reader.ReadUInt16()));
+ break;
+ case DataType.Int32:
+ matrix.At(row, col, new Complex32(real, reader.ReadInt32()));
+ break;
+ case DataType.UInt32:
+ matrix.At(row, col, new Complex32(real, reader.ReadUInt32()));
+ break;
+ case DataType.Single:
+ matrix.At(row, col, new Complex32(real, reader.ReadSingle()));
+ break;
+ case DataType.Int64:
+ matrix.At(row, col, new Complex32(real, reader.ReadInt64()));
+ break;
+ case DataType.UInt64:
+ matrix.At(row, col, new Complex32(real, reader.ReadUInt64()));
+ break;
+ case DataType.Double:
+ matrix.At(row, col, new Complex32(real, Convert.ToSingle(reader.ReadDouble())));
+ break;
+ default:
+ throw new NotSupportedException();
+ }
+ }
+ }
+ }
+
+ ///
+ /// Populates a dense matrix.
+ ///
+ /// The Matlab data type.
+ /// The reader to read from.
+ /// if set to true if the Matlab complex flag is set.
+ /// The number of rows.
+ /// The number of columns.
+ /// The length of the stored data.
+ /// Returns a populated dense matrix.
+ static Matrix PopulateDenseMatrix(DataType type, BinaryReader reader, bool isComplex, int rows, int columns, int size)
+ {
+ var dataType = typeof (TDataType);
+ Matrix matrix;
+ if (type == DataType.Double && dataType == typeof (double))
+ {
+ var count = rows*columns;
+ var data = new double[count];
+ Buffer.BlockCopy(reader.ReadBytes(count*Constants.SizeOfDouble), 0, data, 0, count*Constants.SizeOfDouble);
+ matrix = (Matrix) (object) new LinearAlgebra.Double.DenseMatrix(rows, columns, data);
+ }
+ else if (type == DataType.Single && dataType == typeof (float))
+ {
+ var count = rows*columns;
+ var data = new float[count];
+ Buffer.BlockCopy(reader.ReadBytes(count*Constants.SizeOfFloat), 0, data, 0, count*Constants.SizeOfFloat);
+ matrix = (Matrix) (object) new LinearAlgebra.Single.DenseMatrix(rows, columns, data);
+ }
+ else
+ {
+ matrix = Matrix.Build.Dense(rows, columns);
+
+ if (dataType == typeof (double))
+ {
+ if (isComplex)
+ {
+ throw new ArgumentException("Invalid TDataType. Matrix is stored as a complex matrix, but a real data type was given.");
+ }
+
+ PopulateDoubleDenseMatrix((Matrix) (object) matrix, type, reader, rows, columns);
+ }
+ else if (dataType == typeof (float))
+ {
+ if (isComplex)
+ {
+ throw new ArgumentException("Invalid TDataType. Matrix is stored as a complex matrix, but a real data type was given.");
+ }
+
+ PopulateSingleDenseMatrix((Matrix) (object) matrix, type, reader, rows, columns);
+ }
+ else if (dataType == typeof (Complex))
+ {
+ PopulateComplexDenseMatrix((Matrix) (object) matrix, type, isComplex, reader, rows, columns, size);
+ }
+ else if (dataType == typeof (Complex32))
+ {
+ PopulateComplex32DenseMatrix((Matrix) (object) matrix, type, isComplex, reader, rows, columns, size);
+ }
+ else
+ {
+ throw new NotSupportedException();
+ }
+ }
+ return matrix;
+ }
+
+ ///
+ /// Populates the double dense matrix.
+ ///
+ /// The matrix to populate.
+ /// The Matlab data type.
+ /// The reader to read from.
+ /// The number of rows.
+ /// The number of columns.
+ public static void PopulateDoubleDenseMatrix(Matrix matrix, DataType type, BinaryReader reader, int rows, int columns)
+ {
+ switch (type)
+ {
+ case DataType.Int8:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadSByte());
+ }
+ }
+
+ break;
+ case DataType.UInt8:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadByte());
+ }
+ }
+
+ break;
+ case DataType.Int16:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadInt16());
+ }
+ }
+
+ break;
+ case DataType.UInt16:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadUInt16());
+ }
+ }
+
+ break;
+ case DataType.Int32:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadInt32());
+ }
+ }
+
+ break;
+ case DataType.UInt32:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadUInt32());
+ }
+ }
+
+ break;
+ case DataType.Single:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadSingle());
+ }
+ }
+
+ break;
+ case DataType.Int64:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadInt64());
+ }
+ }
+
+ break;
+ case DataType.UInt64:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadUInt64());
+ }
+ }
+
+ break;
+ case DataType.Double:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadDouble());
+ }
+ }
+
+ break;
+ default:
+ throw new NotSupportedException();
+ }
+ }
+
+ ///
+ /// Populates the complex dense matrix.
+ ///
+ /// The matrix to populate.
+ /// The Matlab data type.
+ /// if set to true if the Matlab complex flag is set.
+ /// The reader to read from.
+ /// The number of rows.
+ /// The number of columns.
+ /// The length of the stored data.
+ public static void PopulateComplexDenseMatrix(Matrix matrix, DataType type, bool isComplex, BinaryReader reader, int rows, int columns, int dataSize)
+ {
+ switch (type)
+ {
+ case DataType.Int8:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadSByte());
+ }
+ }
+
+ break;
+ case DataType.UInt8:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadByte());
+ }
+ }
+
+ break;
+ case DataType.Int16:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadInt16());
+ }
+ }
+
+ break;
+ case DataType.UInt16:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadUInt16());
+ }
+ }
+
+ break;
+ case DataType.Int32:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadInt32());
+ }
+ }
+
+ break;
+ case DataType.UInt32:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadUInt32());
+ }
+ }
+
+ break;
+ case DataType.Single:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadSingle());
+ }
+ }
+
+ break;
+ case DataType.Int64:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadInt64());
+ }
+ }
+
+ break;
+ case DataType.UInt64:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadUInt64());
+ }
+ }
+
+ break;
+ case DataType.Double:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadDouble());
+ }
+ }
+
+ break;
+ default:
+ throw new NotSupportedException();
+ }
+
+ if (isComplex)
+ {
+ var skip = dataSize%8;
+
+ // skip pad
+ reader.ReadBytes(skip);
+
+ // skip header
+ type = (DataType) reader.ReadInt32();
+ reader.ReadInt32();
+
+ switch (type)
+ {
+ case DataType.Int8:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex(matrix.At(i, j).Real, reader.ReadSByte()));
+ }
+ }
+
+ break;
+ case DataType.UInt8:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex(matrix.At(i, j).Real, reader.ReadByte()));
+ }
+ }
+
+ break;
+ case DataType.Int16:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex(matrix.At(i, j).Real, reader.ReadInt16()));
+ }
+ }
+
+ break;
+ case DataType.UInt16:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex(matrix.At(i, j).Real, reader.ReadUInt16()));
+ }
+ }
+
+ break;
+ case DataType.Int32:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex(matrix.At(i, j).Real, reader.ReadInt32()));
+ }
+ }
+
+ break;
+ case DataType.UInt32:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex(matrix.At(i, j).Real, reader.ReadUInt32()));
+ }
+ }
+
+ break;
+ case DataType.Single:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex(matrix.At(i, j).Real, reader.ReadSingle()));
+ }
+ }
+
+ break;
+ case DataType.Int64:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex(matrix.At(i, j).Real, reader.ReadInt64()));
+ }
+ }
+
+ break;
+ case DataType.UInt64:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex(matrix.At(i, j).Real, reader.ReadUInt64()));
+ }
+ }
+
+ break;
+ case DataType.Double:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex(matrix.At(i, j).Real, reader.ReadDouble()));
+ }
+ }
+
+ break;
+ default:
+ throw new NotSupportedException();
+ }
+ }
+ }
+
+ ///
+ /// Populates the complex32 dense matrix.
+ ///
+ /// The matrix to populate.
+ /// The Matlab data type.
+ /// if set to true if the Matlab complex flag is set.
+ /// The reader to read from.
+ /// The number of rows.
+ /// The number of columns.
+ /// The length of the stored data.
+ public static void PopulateComplex32DenseMatrix(Matrix matrix, DataType type, bool isComplex, BinaryReader reader, int rows, int columns, int dataSize)
+ {
+ switch (type)
+ {
+ case DataType.Int8:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadSByte());
+ }
+ }
+
+ break;
+ case DataType.UInt8:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadByte());
+ }
+ }
+
+ break;
+ case DataType.Int16:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadInt16());
+ }
+ }
+
+ break;
+ case DataType.UInt16:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadUInt16());
+ }
+ }
+
+ break;
+ case DataType.Int32:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadInt32());
+ }
+ }
+
+ break;
+ case DataType.UInt32:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadUInt32());
+ }
+ }
+
+ break;
+ case DataType.Single:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadSingle());
+ }
+ }
+
+ break;
+ case DataType.Int64:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadInt64());
+ }
+ }
+
+ break;
+ case DataType.UInt64:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadUInt64());
+ }
+ }
+
+ break;
+ case DataType.Double:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, Convert.ToSingle(reader.ReadDouble()));
+ }
+ }
+
+ break;
+ default:
+ throw new NotSupportedException();
+ }
+
+ if (isComplex)
+ {
+ var skip = dataSize%8;
+
+ // skip pad
+ reader.ReadBytes(skip);
+
+ // skip header
+ type = (DataType) reader.ReadInt32();
+ reader.ReadInt32();
+
+ switch (type)
+ {
+ case DataType.Int8:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex32(matrix.At(i, j).Real, reader.ReadSByte()));
+ }
+ }
+
+ break;
+ case DataType.UInt8:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex32(matrix.At(i, j).Real, reader.ReadByte()));
+ }
+ }
+
+ break;
+ case DataType.Int16:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex32(matrix.At(i, j).Real, reader.ReadInt16()));
+ }
+ }
+
+ break;
+ case DataType.UInt16:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex32(matrix.At(i, j).Real, reader.ReadUInt16()));
+ }
+ }
+
+ break;
+ case DataType.Int32:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex32(matrix.At(i, j).Real, reader.ReadInt32()));
+ }
+ }
+
+ break;
+ case DataType.UInt32:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex32(matrix.At(i, j).Real, reader.ReadUInt32()));
+ }
+ }
+
+ break;
+ case DataType.Single:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex32(matrix.At(i, j).Real, reader.ReadSingle()));
+ }
+ }
+
+ break;
+ case DataType.Int64:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex32(matrix.At(i, j).Real, reader.ReadInt64()));
+ }
+ }
+
+ break;
+ case DataType.UInt64:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex32(matrix.At(i, j).Real, reader.ReadUInt64()));
+ }
+ }
+
+ break;
+ case DataType.Double:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, new Complex32(matrix.At(i, j).Real, Convert.ToSingle(reader.ReadDouble())));
+ }
+ }
+
+ break;
+ default:
+ throw new NotSupportedException();
+ }
+ }
+ }
+
+ ///
+ /// Populates the float dense matrix.
+ ///
+ /// The matrix to populate.
+ /// The Matlab data type.
+ /// The reader to read from.
+ /// The number of rows.
+ /// The number of columns.
+ public static void PopulateSingleDenseMatrix(Matrix matrix, DataType type, BinaryReader reader, int rows, int columns)
+ {
+ switch (type)
+ {
+ case DataType.Int8:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadSByte());
+ }
+ }
+
+ break;
+ case DataType.UInt8:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadByte());
+ }
+ }
+
+ break;
+ case DataType.Int16:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadInt16());
+ }
+ }
+
+ break;
+ case DataType.UInt16:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadUInt16());
+ }
+ }
+
+ break;
+ case DataType.Int32:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadInt32());
+ }
+ }
+
+ break;
+ case DataType.UInt32:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadUInt32());
+ }
+ }
+
+ break;
+ case DataType.Single:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadSingle());
+ }
+ }
+
+ break;
+ case DataType.Int64:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadInt64());
+ }
+ }
+
+ break;
+ case DataType.UInt64:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, reader.ReadUInt64());
+ }
+ }
+
+ break;
+ case DataType.Double:
+ for (var j = 0; j < columns; j++)
+ {
+ for (var i = 0; i < rows; i++)
+ {
+ matrix.At(i, j, Convert.ToSingle(reader.ReadDouble()));
+ }
+ }
+
+ break;
+ default:
+ throw new NotSupportedException();
+ }
+ }
+ }
+}
diff --git a/src/Data/Matlab/MatlabReader.cs b/src/Data/Matlab/MatlabReader.cs
new file mode 100644
index 00000000..dbaa3e25
--- /dev/null
+++ b/src/Data/Matlab/MatlabReader.cs
@@ -0,0 +1,227 @@
+//
+// 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) 2009-2014 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.
+//
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using MathNet.Numerics.LinearAlgebra;
+using MathNet.Numerics.Properties;
+
+namespace MathNet.Numerics.Data.Matlab
+{
+ ///
+ /// Creates matrices from Matlab files.
+ ///
+ /// The data type of the Matrix. It can be either: double, float, Complex, or Complex32.
+ public class MatlabMatrixReader where TDataType : struct, IEquatable, IFormattable
+ {
+ ///
+ /// The name of the file to read from.
+ ///
+ private readonly string _filename;
+
+ ///
+ /// The stream to read from if we are not reading from a file directly.
+ ///
+ private readonly Stream _stream;
+
+ ///
+ /// Initializes a new instance of the class.
+ ///
+ /// Name of the file to read matrices from.
+ public MatlabMatrixReader(string filename)
+ {
+ if (string.IsNullOrEmpty(filename))
+ {
+ throw new ArgumentException(Resources.StringNullOrEmpty, "filename");
+ }
+
+ if (!File.Exists(filename))
+ {
+ throw new FileNotFoundException(Resources.FileDoesNotExist, "filename");
+ }
+
+ _filename = filename;
+ }
+
+ ///
+ /// Initializes a new instance of the class.
+ ///
+ /// The stream to reader matrices from.
+ public MatlabMatrixReader(Stream stream)
+ {
+ if (stream == null)
+ {
+ throw new ArgumentNullException("stream");
+ }
+
+ _stream = stream;
+ }
+
+ public static Matrix ReadMatrix(Stream stream, string matrixName = null)
+ {
+ var names = string.IsNullOrEmpty(matrixName) ? new string[] { } : new[] { matrixName };
+ var parser = new MatlabParser(stream, names);
+ var file = parser.Parse();
+
+ if (string.IsNullOrEmpty(matrixName))
+ {
+ return file.FirstMatrix;
+ }
+ if (!file.Matrices.ContainsKey(matrixName))
+ {
+ throw new KeyNotFoundException("Matrix with the provided name was not found.");
+ }
+ return file.Matrices[matrixName];
+ }
+
+ public static Matrix ReadMatrix(string filePath, string matrixName = null)
+ {
+ using (var stream = File.OpenRead(filePath))
+ {
+ return ReadMatrix(stream, matrixName);
+ }
+ }
+
+ public static Dictionary> ReadMatrices(Stream stream, params string[] matrixNames)
+ {
+ var reader = new MatlabMatrixReader(stream);
+ return reader.ReadMatrices(matrixNames);
+ }
+
+ public static Dictionary> ReadMatrices(string filePath, params string[] matrixNames)
+ {
+ using (var stream = File.OpenRead(filePath))
+ {
+ return ReadMatrices(stream, matrixNames);
+ }
+ }
+
+ ///
+ /// Reads the first matrix from the file or stream.
+ ///
+ ///
+ /// A sparse or dense matrix depending on how the matrix
+ /// is defined in the Matlab file.
+ ///
+ public Matrix ReadMatrix()
+ {
+ return ReadMatrix(null);
+ }
+
+ ///
+ /// Reads the named matrix from the file or stream.
+ ///
+ /// The name of the matrix to read.
+ ///
+ /// A sparse or dense matrix depending on how the matrix
+ /// is defined in the Matlab file.
+ /// is returned if a matrix with the requests name doesn't exist.
+ ///
+ public Matrix ReadMatrix(string matrixName)
+ {
+ Stream stream;
+ if (_filename == null)
+ {
+ stream = _stream;
+ _stream.Seek(0, SeekOrigin.Begin);
+ }
+ else
+ {
+ stream = new FileStream(_filename, FileMode.Open, FileAccess.Read);
+ }
+
+ var names = string.IsNullOrEmpty(matrixName) ? new string[] { } : new[] { matrixName };
+ var parser = new MatlabParser(stream, names);
+ var file = parser.Parse();
+
+ Matrix matrix = null;
+ if (string.IsNullOrEmpty(matrixName))
+ {
+ matrix = file.FirstMatrix;
+ }
+ else if (file.Matrices.ContainsKey(matrixName))
+ {
+ matrix = file.Matrices[matrixName];
+ }
+
+ if (_filename != null)
+ {
+ stream.Close();
+ stream.Dispose();
+ }
+
+ return matrix;
+ }
+
+ ///
+ /// Reads all matrices from the file or stream.
+ ///
+ /// All matrices from the file or stream. The key to the
+ /// is the matrix's name.
+ public Dictionary> ReadMatrices()
+ {
+ return ReadMatrices(new string[] { });
+ }
+
+ ///
+ /// Reads the named matrices from the file or stream.
+ ///
+ /// The names of the matrices to retrieve.
+ ///
+ /// The named matrices from the file or stream. The key to the
+ /// is the matrix's name.
+ public Dictionary> ReadMatrices(IEnumerable names)
+ {
+ Stream stream;
+ if (_filename == null)
+ {
+ stream = _stream;
+ _stream.Seek(0, SeekOrigin.Begin);
+ }
+ else
+ {
+ stream = new BufferedStream(new FileStream(_filename, FileMode.Open, FileAccess.Read));
+ }
+
+ var parser = new MatlabParser(stream, names);
+ var file = parser.Parse();
+
+ if (_filename != null)
+ {
+ stream.Close();
+ stream.Dispose();
+ }
+
+ return file.Matrices.ToDictionary(matrix => matrix.Key, matrix => matrix.Value);
+ }
+ }
+}
diff --git a/src/Data/Matlab/MatlabWriter.cs b/src/Data/Matlab/MatlabWriter.cs
new file mode 100644
index 00000000..55fbc634
--- /dev/null
+++ b/src/Data/Matlab/MatlabWriter.cs
@@ -0,0 +1,818 @@
+//
+// 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) 2009-2013 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.
+//
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.IO.Compression;
+using System.Numerics;
+using System.Text;
+using MathNet.Numerics.LinearAlgebra;
+using MathNet.Numerics.LinearAlgebra.Storage;
+using MathNet.Numerics.Properties;
+
+namespace MathNet.Numerics.Data.Matlab
+{
+ ///
+ /// Writes matrices to a Matlab file.
+ ///
+ public class MatlabMatrixWriter : IDisposable
+ {
+ ///
+ /// The file header value
+ ///
+ const string HeaderText = "MATLAB 5.0 MAT-file, Platform: .NET 4 - Math.NET Numerics, Created on: ";
+
+ ///
+ /// The length of the header text.
+ ///
+ const int HeaderTextLength = 116;
+
+ ///
+ /// Have we written the header yet.
+ ///
+ bool _headerWritten;
+
+ ///
+ /// The binary writer to write to.
+ ///
+ BinaryWriter _writer;
+
+ ///
+ /// Initializes a new instance of the class.
+ ///
+ /// The name of the Matlab file to save the matrices to.
+ public MatlabMatrixWriter(string filename)
+ {
+ if (string.IsNullOrEmpty(filename))
+ {
+ throw new ArgumentException(Resources.StringNullOrEmpty, "filename");
+ }
+
+ _writer =
+ new BinaryWriter(
+ new BufferedStream(new FileStream(filename, FileMode.Create, FileAccess.Write, FileShare.None)));
+ }
+
+ ///
+ /// Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources.
+ ///
+ public void Dispose()
+ {
+ if (_writer != null)
+ {
+ _writer.Flush();
+ _writer.Close();
+ _writer = null;
+ }
+ }
+
+ ///
+ /// Writes the given to the file.
+ ///
+ /// The matrix to write.
+ /// The name of the matrix to store in the file.
+ /// If either or is null.
+ /// The data type of the Matrix. It can be either: double, float, Complex, or Complex32.
+ public void WriteMatrix(Matrix matrix, string name)
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ if (matrix == null)
+ {
+ throw new ArgumentNullException("matrix");
+ }
+
+ if (string.IsNullOrEmpty(name))
+ {
+ throw new ArgumentException(Resources.StringNullOrEmpty, "name");
+ }
+
+ if (name.IndexOf(' ') > -1)
+ {
+ throw new ArgumentException(string.Format(Resources.NameCannotContainASpace, name), "name");
+ }
+
+ if (!_headerWritten)
+ {
+ WriteHeader();
+ _headerWritten = true;
+ }
+
+ // write datatype
+ _writer.Write((int) DataType.Compressed);
+
+ byte[] data;
+
+ if (typeof (TDataType) == typeof (double))
+ {
+ var o = matrix as LinearAlgebra.Double.SparseMatrix;
+ data = o != null
+ ? GetSparseDataArray((LinearAlgebra.Double.SparseMatrix) (object) matrix, name)
+ : GetDenseDataArray((LinearAlgebra.Double.Matrix) (object) matrix, name);
+ }
+ else if (typeof (TDataType) == typeof (float))
+ {
+ var o = matrix as LinearAlgebra.Single.SparseMatrix;
+ data = o != null
+ ? GetSparseDataArray((LinearAlgebra.Single.SparseMatrix) (object) matrix, name)
+ : GetDenseDataArray((LinearAlgebra.Single.Matrix) (object) matrix, name);
+ }
+ else if (typeof (TDataType) == typeof (Complex))
+ {
+ var o = matrix as LinearAlgebra.Complex.SparseMatrix;
+ data = o != null
+ ? GetSparseDataArray((LinearAlgebra.Complex.SparseMatrix) (object) matrix, name)
+ : GetDenseDataArray((LinearAlgebra.Complex.Matrix) (object) matrix, name);
+ }
+ else if (typeof (TDataType) == typeof (Complex32))
+ {
+ var o = matrix as LinearAlgebra.Complex32.SparseMatrix;
+ data = o != null
+ ? GetSparseDataArray((LinearAlgebra.Complex32.SparseMatrix) (object) matrix, name)
+ : GetDenseDataArray((LinearAlgebra.Complex32.Matrix) (object) matrix, name);
+ }
+ else
+ {
+ throw new NotSupportedException();
+ }
+
+ WriteCompressedData(data);
+ }
+
+ ///
+ /// Writes the given to the file.
+ ///
+ /// The matrices to write.
+ /// The names of the matrices to store in the file.
+ /// If either or is null.
+ /// The data type of the Matrix. It can be either: double, float, Complex, or Complex32.
+ public void WriteMatrices(IList> matrices, IList names)
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ if (matrices == null)
+ {
+ throw new ArgumentNullException("matrices");
+ }
+
+ if (names == null)
+ {
+ throw new ArgumentNullException("names");
+ }
+
+ if (matrices.Count != names.Count)
+ {
+ throw new ArgumentException(Resources.ArgumentMatrixDimensions);
+ }
+
+ for (var i = 0; i < matrices.Count; i++)
+ {
+ WriteMatrix(matrices[i], names[i]);
+ }
+ }
+
+ ///
+ /// Closes the stream the being written to.
+ ///
+ /// Calls .
+ public void Close()
+ {
+ Dispose();
+ }
+
+ ///
+ /// Writes the matrix tag and name.
+ ///
+ /// The writer we are using.
+ /// The array class we are writing.
+ /// if set to true if this a complex matrix.
+ /// The name name of the matrix.
+ /// The number of rows.
+ /// The columns of columns.
+ /// The maximum number of non-zero elements.
+ static void WriteMatrixTagAndName(BinaryWriter writer, ArrayClass arrayClass, bool isComplex,
+ string name, int rows, int columns, int nzmax)
+ {
+ writer.Write((int) DataType.Matrix);
+
+ // add place holder for data size
+ writer.Write(0);
+
+ // write flag, data type and size
+ writer.Write((int) DataType.UInt32);
+ writer.Write(8);
+
+ // write array class and flags
+ writer.Write((byte) arrayClass);
+ if (isComplex)
+ {
+ writer.Write((byte) ArrayFlags.Complex);
+ }
+ else
+ {
+ writer.Write((byte) 0);
+ }
+
+ writer.Write((short) 0);
+ writer.Write(nzmax);
+
+ // write dimensions
+ writer.Write((int) DataType.Int32);
+ writer.Write(8);
+ writer.Write(rows);
+ writer.Write(columns);
+
+ var nameBytes = Encoding.ASCII.GetBytes(name);
+
+ // write name
+ if (nameBytes.Length > 4)
+ {
+ writer.Write((int) DataType.Int8);
+ writer.Write(nameBytes.Length);
+ writer.Write(nameBytes);
+ var pad = 8 - (nameBytes.Length%8);
+ PadData(writer, pad);
+ }
+ else
+ {
+ writer.Write((short) DataType.Int8);
+ writer.Write((short) nameBytes.Length);
+ writer.Write(nameBytes);
+ PadData(writer, 4 - nameBytes.Length);
+ }
+ }
+
+ ///
+ /// Compresses the data array.
+ ///
+ /// The data to compress.
+ /// The compressed data.
+ static byte[] CompressData(byte[] data)
+ {
+ var adler = BitConverter.GetBytes(Adler32.Compute(data));
+ using (var compressedStream = new MemoryStream())
+ {
+ compressedStream.WriteByte(0x58);
+ compressedStream.WriteByte(0x85);
+ using (var outputStream = new DeflateStream(compressedStream, CompressionMode.Compress, true))
+ {
+ outputStream.Write(data, 0, data.Length);
+ }
+ compressedStream.WriteByte(adler[3]);
+ compressedStream.WriteByte(adler[2]);
+ compressedStream.WriteByte(adler[1]);
+ compressedStream.WriteByte(adler[0]);
+ return compressedStream.ToArray();
+ }
+ }
+
+ ///
+ /// Gets the dense data array.
+ ///
+ /// The matrix to get the data from.
+ /// The name of the matrix.
+ /// The matrix data as an array.
+ static byte[] GetDenseDataArray(Matrix matrix, string name)
+ {
+ byte[] data;
+ using (var dataMemoryStream = new MemoryStream())
+ using (var dataWriter = new BinaryWriter(dataMemoryStream))
+ {
+ WriteMatrixTagAndName(dataWriter, ArrayClass.Double, false, name, matrix.RowCount, matrix.ColumnCount, 0);
+
+ // write data
+ dataWriter.Write((int) DataType.Double);
+ dataWriter.Write(matrix.RowCount*matrix.ColumnCount*8);
+
+ for (var j = 0; j < matrix.ColumnCount; j++)
+ {
+ var column = matrix.Column(j);
+ foreach (var value in column)
+ {
+ dataWriter.Write(value);
+ }
+ }
+
+ data = dataMemoryStream.ToArray();
+ }
+
+ return data;
+ }
+
+ ///
+ /// Gets the dense data array.
+ ///
+ /// The matrix to get the data from.
+ /// The name of the matrix.
+ /// The matrix data as an array.
+ static byte[] GetDenseDataArray(Matrix matrix, string name)
+ {
+ byte[] data;
+ using (var dataMemoryStream = new MemoryStream())
+ using (var dataWriter = new BinaryWriter(dataMemoryStream))
+ {
+ WriteMatrixTagAndName(dataWriter, ArrayClass.Single, false, name, matrix.RowCount, matrix.ColumnCount, 0);
+
+ // write data
+ dataWriter.Write((int) DataType.Single);
+
+ dataWriter.Write(matrix.RowCount*matrix.ColumnCount*4);
+
+ for (var j = 0; j < matrix.ColumnCount; j++)
+ {
+ var column = matrix.Column(j);
+ foreach (var value in column)
+ {
+ dataWriter.Write(value);
+ }
+ }
+
+ var pad = (matrix.RowCount*matrix.ColumnCount*4)%8;
+ PadData(dataWriter, pad);
+
+ data = dataMemoryStream.ToArray();
+ }
+
+ return data;
+ }
+
+ ///
+ /// Gets the dense data array.
+ ///
+ /// The matrix to get the data from.
+ /// The name of the matrix.
+ /// The matrix data as an array.
+ static byte[] GetDenseDataArray(Matrix matrix, string name)
+ {
+ byte[] data;
+ using (var dataMemoryStream = new MemoryStream())
+ using (var dataWriter = new BinaryWriter(dataMemoryStream))
+ {
+ WriteMatrixTagAndName(dataWriter, ArrayClass.Double, true, name, matrix.RowCount, matrix.ColumnCount, 0);
+
+ // write data
+ dataWriter.Write((int) DataType.Double);
+ dataWriter.Write(matrix.RowCount*matrix.ColumnCount*8);
+
+ for (var j = 0; j < matrix.ColumnCount; j++)
+ {
+ var column = matrix.Column(j);
+ foreach (var value in column)
+ {
+ dataWriter.Write(value.Real);
+ }
+ }
+
+ dataWriter.Write((int) DataType.Double);
+ dataWriter.Write(matrix.RowCount*matrix.ColumnCount*8);
+
+ for (var j = 0; j < matrix.ColumnCount; j++)
+ {
+ var column = matrix.Column(j);
+ foreach (var value in column)
+ {
+ dataWriter.Write(value.Imaginary);
+ }
+ }
+
+ data = dataMemoryStream.ToArray();
+ }
+
+ return data;
+ }
+
+ ///
+ /// Gets the dense data array.
+ ///
+ /// The matrix to get the data from.
+ /// The name of the matrix.
+ /// The matrix data as an array.
+ static byte[] GetDenseDataArray(Matrix matrix, string name)
+ {
+ byte[] data;
+ using (var dataMemoryStream = new MemoryStream())
+ using (var dataWriter = new BinaryWriter(dataMemoryStream))
+ {
+ WriteMatrixTagAndName(dataWriter, ArrayClass.Single, true, name, matrix.RowCount, matrix.ColumnCount, 0);
+
+ // write data
+ dataWriter.Write((int) DataType.Single);
+ dataWriter.Write(matrix.RowCount*matrix.ColumnCount*4);
+
+ for (var j = 0; j < matrix.ColumnCount; j++)
+ {
+ var column = matrix.Column(j);
+ foreach (var value in column)
+ {
+ dataWriter.Write(value.Real);
+ }
+ }
+
+ var pad = (matrix.RowCount*matrix.ColumnCount*4)%8;
+ PadData(dataWriter, pad);
+
+ dataWriter.Write((int) DataType.Single);
+ dataWriter.Write(matrix.RowCount*matrix.ColumnCount*4);
+
+ for (var j = 0; j < matrix.ColumnCount; j++)
+ {
+ var column = matrix.Column(j);
+ foreach (var value in column)
+ {
+ dataWriter.Write(value.Real);
+ }
+ }
+
+ PadData(dataWriter, pad);
+
+ data = dataMemoryStream.ToArray();
+ }
+
+ return data;
+ }
+
+ ///
+ /// Gets the sparse data array.
+ ///
+ /// The matrix to get the data from.
+ /// The name of the matrix.
+ /// The matrix data as an array.
+ static byte[] GetSparseDataArray(LinearAlgebra.Double.SparseMatrix matrix, string name)
+ {
+ byte[] data;
+ using (var dataMemoryStream = new MemoryStream())
+ using (var dataWriter = new BinaryWriter(dataMemoryStream))
+ {
+ var nzmax = matrix.NonZerosCount;
+ WriteMatrixTagAndName(dataWriter, ArrayClass.Sparse, false, name, matrix.RowCount, matrix.ColumnCount,
+ nzmax);
+
+ // write ir
+ dataWriter.Write((int) DataType.Int32);
+ dataWriter.Write(nzmax*4);
+
+ foreach (var column in matrix.EnumerateColumns())
+ {
+ foreach (var row in column.EnumerateNonZeroIndexed())
+ {
+ dataWriter.Write(row.Item1);
+ }
+ }
+
+ // add pad if needed
+ if (nzmax%2 == 1)
+ {
+ dataWriter.Write(0);
+ }
+
+ // write jc
+ dataWriter.Write((int) DataType.Int32);
+ dataWriter.Write((matrix.ColumnCount + 1)*4);
+ dataWriter.Write(0);
+ var count = 0;
+ foreach (var column in matrix.EnumerateColumns())
+ {
+ count += ((SparseVectorStorage) column.Storage).ValueCount;
+ dataWriter.Write(count);
+ }
+
+ // add pad if needed
+ if (matrix.ColumnCount%2 == 0)
+ {
+ dataWriter.Write(0);
+ }
+
+ // write data
+ dataWriter.Write((int) DataType.Double);
+ dataWriter.Write(nzmax*8);
+
+ foreach (var column in matrix.EnumerateColumns())
+ {
+ foreach (var row in column.EnumerateNonZeroIndexed())
+ {
+ dataWriter.Write(row.Item2);
+ }
+ }
+
+ data = dataMemoryStream.ToArray();
+ }
+
+ return data;
+ }
+
+ ///
+ /// Gets the sparse data array.
+ ///
+ /// The matrix to get the data from.
+ /// The name of the matrix.
+ /// The matrix data as an array.
+ static byte[] GetSparseDataArray(LinearAlgebra.Single.SparseMatrix matrix, string name)
+ {
+ byte[] data;
+ using (var dataMemoryStream = new MemoryStream())
+ using (var dataWriter = new BinaryWriter(dataMemoryStream))
+ {
+ var nzmax = matrix.NonZerosCount;
+ WriteMatrixTagAndName(dataWriter, ArrayClass.Sparse, false, name, matrix.RowCount, matrix.ColumnCount,
+ nzmax);
+
+ // write ir
+ dataWriter.Write((int) DataType.Int32);
+ dataWriter.Write(nzmax*4);
+
+ foreach (var column in matrix.EnumerateColumns())
+ {
+ foreach (var row in column.EnumerateNonZeroIndexed())
+ {
+ dataWriter.Write(row.Item1);
+ }
+ }
+
+ // add pad if needed
+ if (nzmax%2 == 1)
+ {
+ dataWriter.Write(0);
+ }
+
+ // write jc
+ dataWriter.Write((int) DataType.Int32);
+ dataWriter.Write((matrix.ColumnCount + 1)*4);
+ dataWriter.Write(0);
+ var count = 0;
+ foreach (var column in matrix.EnumerateColumns())
+ {
+ count += ((SparseVectorStorage) column.Storage).ValueCount;
+ dataWriter.Write(count);
+ }
+
+ // add pad if needed
+ if (matrix.ColumnCount%2 == 0)
+ {
+ dataWriter.Write(0);
+ }
+
+ // write data
+ dataWriter.Write((int) DataType.Single);
+ dataWriter.Write(nzmax*4);
+
+ foreach (var column in matrix.EnumerateColumns())
+ {
+ foreach (var row in column.EnumerateNonZeroIndexed())
+ {
+ dataWriter.Write(row.Item2);
+ }
+ }
+
+ var pad = (nzmax*4)%8;
+ PadData(dataWriter, pad);
+
+ data = dataMemoryStream.ToArray();
+ }
+
+ return data;
+ }
+
+ ///
+ /// Gets the sparse data array.
+ ///
+ /// The matrix to get the data from.
+ /// The name of the matrix.
+ /// The matrix data as an array.
+ static byte[] GetSparseDataArray(LinearAlgebra.Complex.SparseMatrix matrix, string name)
+ {
+ byte[] data;
+ using (var dataMemoryStream = new MemoryStream())
+ using (var dataWriter = new BinaryWriter(dataMemoryStream))
+ {
+ var nzmax = matrix.NonZerosCount;
+ WriteMatrixTagAndName(dataWriter, ArrayClass.Sparse, true, name, matrix.RowCount, matrix.ColumnCount,
+ nzmax);
+
+ // write ir
+ dataWriter.Write((int) DataType.Int32);
+ dataWriter.Write(nzmax*4);
+
+ foreach (var column in matrix.EnumerateColumns())
+ {
+ foreach (var row in column.EnumerateNonZeroIndexed())
+ {
+ dataWriter.Write(row.Item1);
+ }
+ }
+
+ // add pad if needed
+ if (nzmax%2 == 1)
+ {
+ dataWriter.Write(0);
+ }
+
+ // write jc
+ dataWriter.Write((int) DataType.Int32);
+ dataWriter.Write((matrix.ColumnCount + 1)*4);
+ dataWriter.Write(0);
+ var count = 0;
+ foreach (var column in matrix.EnumerateColumns())
+ {
+ count += ((SparseVectorStorage) column.Storage).ValueCount;
+ dataWriter.Write(count);
+ }
+
+ // add pad if needed
+ if (matrix.ColumnCount%2 == 0)
+ {
+ dataWriter.Write(0);
+ }
+
+ // write data
+ dataWriter.Write((int) DataType.Double);
+ dataWriter.Write(nzmax*8);
+
+ foreach (var column in matrix.EnumerateColumns())
+ {
+ foreach (var row in column.EnumerateNonZeroIndexed())
+ {
+ dataWriter.Write(row.Item2.Real);
+ }
+ }
+
+ dataWriter.Write((int) DataType.Double);
+ dataWriter.Write(nzmax*8);
+
+ foreach (var column in matrix.EnumerateColumns())
+ {
+ foreach (var row in column.EnumerateNonZeroIndexed())
+ {
+ dataWriter.Write(row.Item2.Real);
+ }
+ }
+
+ data = dataMemoryStream.ToArray();
+ }
+
+ return data;
+ }
+
+ ///
+ /// Gets the sparse data array.
+ ///
+ /// The matrix to get the data from.
+ /// The name of the matrix.
+ /// The matrix data as an array.
+ static byte[] GetSparseDataArray(LinearAlgebra.Complex32.SparseMatrix matrix, string name)
+ {
+ byte[] data;
+ using (var dataMemoryStream = new MemoryStream())
+ using (var dataWriter = new BinaryWriter(dataMemoryStream))
+ {
+ var nzmax = matrix.NonZerosCount;
+ WriteMatrixTagAndName(dataWriter, ArrayClass.Sparse, true, name, matrix.RowCount, matrix.ColumnCount,
+ nzmax);
+
+ // write ir
+ dataWriter.Write((int) DataType.Int32);
+ dataWriter.Write(nzmax*4);
+
+ foreach (var column in matrix.EnumerateColumns())
+ {
+ foreach (var row in column.EnumerateNonZeroIndexed())
+ {
+ dataWriter.Write(row.Item1);
+ }
+ }
+
+ // add pad if needed
+ if (nzmax%2 == 1)
+ {
+ dataWriter.Write(0);
+ }
+
+ // write jc
+ dataWriter.Write((int) DataType.Int32);
+ dataWriter.Write((matrix.ColumnCount + 1)*4);
+ dataWriter.Write(0);
+ var count = 0;
+ foreach (var column in matrix.EnumerateColumns())
+ {
+ count += ((SparseVectorStorage) column.Storage).ValueCount;
+ dataWriter.Write(count);
+ }
+
+ // add pad if needed
+ if (matrix.ColumnCount%2 == 0)
+ {
+ dataWriter.Write(0);
+ }
+
+ // write data
+ dataWriter.Write((int) DataType.Single);
+ dataWriter.Write(nzmax*4);
+
+ foreach (var column in matrix.EnumerateColumns())
+ {
+ foreach (var row in column.EnumerateNonZeroIndexed())
+ {
+ dataWriter.Write(row.Item2.Real);
+ }
+ }
+
+ var pad = (nzmax*4)%8;
+ PadData(dataWriter, pad);
+
+ dataWriter.Write((int) DataType.Single);
+ dataWriter.Write(nzmax*4);
+
+ foreach (var column in matrix.EnumerateColumns())
+ {
+ foreach (var row in column.EnumerateNonZeroIndexed())
+ {
+ dataWriter.Write(row.Item2.Real);
+ }
+ }
+
+ PadData(dataWriter, pad);
+
+ data = dataMemoryStream.ToArray();
+ }
+
+ return data;
+ }
+
+ ///
+ /// Writes the compressed data.
+ ///
+ /// The data to write.
+ void WriteCompressedData(byte[] data)
+ {
+ // fill in data size
+ var size = BitConverter.GetBytes(data.Length);
+ data[4] = size[0];
+ data[5] = size[1];
+ data[6] = size[2];
+ data[7] = size[3];
+
+ // compress data
+ var compressedData = CompressData(data);
+
+ // write compressed data to file
+ _writer.Write(compressedData.Length);
+ _writer.Write(compressedData);
+ }
+
+ ///
+ /// Writes the file header.
+ ///
+ void WriteHeader()
+ {
+ var header = Encoding.ASCII.GetBytes(HeaderText + DateTime.Now.ToString(Resources.MatlabDateHeaderFormat));
+ _writer.Write(header);
+ PadData(_writer, HeaderTextLength - header.Length + 8, 32);
+
+ // write version
+ _writer.Write((short) 0x100);
+
+ // write little endian indicator
+ _writer.Write((byte) 0x49);
+ _writer.Write((byte) 0x4D);
+ }
+
+ ///
+ /// Pads the data with the given byte.
+ ///
+ /// Where to write the pad values.
+ /// The number of bytes to pad.
+ /// What value to pad with.
+ static void PadData(BinaryWriter writer, int bytes, byte pad = (byte) 0)
+ {
+ for (var i = 0; i < bytes; i++)
+ {
+ writer.Write(pad);
+ }
+ }
+ }
+}
diff --git a/src/Data/Matlab/Properties/AssemblyInfo.cs b/src/Data/Matlab/Properties/AssemblyInfo.cs
new file mode 100644
index 00000000..acf8fe80
--- /dev/null
+++ b/src/Data/Matlab/Properties/AssemblyInfo.cs
@@ -0,0 +1,46 @@
+//
+// Math.NET Numerics, part of the Math.NET Project
+// http://mathnet.opensourcedotnet.info
+//
+// Copyright (c) 2009-2013 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.
+//
+
+using System;
+using System.Reflection;
+using System.Runtime.InteropServices;
+
+[assembly: AssemblyTitle("Math.NET Numerics - MATLAB Data I/O Extensions")]
+[assembly: AssemblyDescription("")]
+[assembly: AssemblyConfiguration("")]
+[assembly: AssemblyCompany("Marcus Cuda, Christoph Ruegg")]
+[assembly: AssemblyProduct("Math.NET Numerics")]
+[assembly: AssemblyCopyright("Copyright © Math.NET Project")]
+[assembly: AssemblyTrademark("")]
+[assembly: AssemblyCulture("")]
+[assembly: CLSCompliant(true)]
+[assembly: ComVisible(false)]
+[assembly: Guid("1a350030-3ad3-4e15-953d-33342a371aba")]
+
+[assembly: AssemblyVersion("1.0.0.0")]
+[assembly: AssemblyFileVersion("1.0.0.0")]
diff --git a/src/Data/Matlab/packages.config b/src/Data/Matlab/packages.config
new file mode 100644
index 00000000..a2bc04f7
--- /dev/null
+++ b/src/Data/Matlab/packages.config
@@ -0,0 +1,4 @@
+
+
+
+
\ No newline at end of file
diff --git a/src/Data/Text/DelimitedReader.cs b/src/Data/Text/DelimitedReader.cs
new file mode 100644
index 00000000..47cf312d
--- /dev/null
+++ b/src/Data/Text/DelimitedReader.cs
@@ -0,0 +1,255 @@
+//
+// 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) 2009-2013 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.
+//
+
+using System;
+using System.Collections.Concurrent;
+using System.Collections.Generic;
+using System.Globalization;
+using System.IO;
+using System.Linq;
+using System.Numerics;
+using System.Text.RegularExpressions;
+using MathNet.Numerics.LinearAlgebra;
+
+namespace MathNet.Numerics.Data.Text
+{
+ ///
+ /// Creates a from a delimited text file. If the user does not
+ /// specify a delimiter, then any whitespace is used.
+ ///
+ public class DelimitedReader
+ {
+ ///
+ /// The base regular expression.
+ ///
+ private const string RegexTemplate = "\\([^\\)]*\\)|'[^']*'|\"[^\"]*\"|[^{0}]*";
+
+ ///
+ /// Cached compiled regular expressions for various delimiters, as needed.
+ ///
+ static readonly ConcurrentDictionary RegexCache = new ConcurrentDictionary();
+
+ ///
+ /// The delimiter to use for parsing. Defaults to any whitespace.
+ ///
+ public string Delimiter { get; set; }
+
+ ///
+ /// Whether to create sparse matrices or not. Defaults to false.
+ ///
+ public bool Sparse { get; set; }
+
+ ///
+ /// Gets or sets a value indicating whether the files has a header row.
+ ///
+ ///
+ /// true if this instance has a header row; otherwise, false.
+ ///
+ /// Defaults to .
+ public bool HasHeaderRow { get; set; }
+
+ ///
+ /// Gets or sets the to use when parsing the numbers.
+ ///
+ /// The culture info.
+ /// Defaults to CultureInfo.CurrentCulture.
+ public IFormatProvider FormatProvider { get; set; }
+
+ ///
+ /// Performs the actual reading.
+ ///
+ /// The path and name of the file to read the matrix from.
+ ///
+ /// A matrix containing the data from the .
+ ///
+ public Matrix ReadMatrix(string filePath)
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ return ReadFile(filePath, Sparse, Delimiter, HasHeaderRow, FormatProvider);
+ }
+
+ ///
+ /// Performs the actual reading.
+ ///
+ /// The to read the matrix from.
+ ///
+ /// A matrix containing the data from the .
+ ///
+ public Matrix ReadMatrix(Stream stream)
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ return ReadStream(stream, Sparse, Delimiter, HasHeaderRow, FormatProvider);
+ }
+
+ ///
+ /// Performs the actual reading.
+ ///
+ /// The to read the matrix from.
+ ///
+ /// A matrix containing the data from the .
+ ///
+ public Matrix ReadMatrix(TextReader reader)
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ return Read(reader, Sparse, Delimiter, HasHeaderRow, FormatProvider);
+ }
+
+ ///
+ /// Reads a from the given .
+ ///
+ /// The to read the matrix from.
+ /// Whether the the returned matrix should be constructed as sparse (true) or dense (false). Default: false.
+ /// Number delimiter between numbers of the same line. Supports Regex groups. Default: "\s" (white space).
+ /// Whether the first row contains column headers or not. Default: false.
+ /// The culture to use. Default: null.
+ /// A matrix containing the data from the .
+ /// The data type of the Matrix. It can be either: double, float, Complex, or Complex32.
+ public static Matrix Read(TextReader reader, bool sparse = false, string delimiter = @"\s", bool hasHeaders = false, IFormatProvider formatProvider = null)
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ if (String.IsNullOrEmpty(delimiter))
+ {
+ delimiter = @"\s";
+ }
+ var regex = RegexCache.GetOrAdd(delimiter, d => new Regex(string.Format(RegexTemplate, d), RegexOptions.Compiled));
+
+ var data = new List();
+
+ // max is used to supports files like:
+ // 1,2
+ // 3,4,5,6
+ // 7
+ // this creates a 3x4 matrix:
+ // 1, 2, 0 ,0
+ // 3, 4, 5, 6
+ // 7, 0, 0, 0
+ var max = -1;
+
+ var line = reader.ReadLine();
+ if (hasHeaders)
+ {
+ line = reader.ReadLine();
+ }
+
+ while (line != null)
+ {
+ line = line.Trim();
+ if (line.Length > 0)
+ {
+ var matches = regex.Matches(line);
+ var row = (from Match match in matches where match.Length > 0 select match.Value).ToArray();
+ max = Math.Max(max, row.Length);
+ data.Add(row);
+ }
+
+ line = reader.ReadLine();
+ }
+
+ var parse = CreateParser(formatProvider);
+ var matrix = sparse ? Matrix.Build.Sparse(data.Count, max) : Matrix.Build.Dense(data.Count, max);
+ var storage = matrix.Storage;
+
+ for (var i = 0; i < data.Count; i++)
+ {
+ var row = data[i];
+ for (var j = 0; j < row.Length; j++)
+ {
+ // strip off quotes (TODO: can we replace this with trimming?)
+ var value = row[j].Replace("'", string.Empty).Replace("\"", string.Empty);
+ storage.At(i, j, parse(value));
+ }
+ }
+
+ reader.Close();
+ reader.Dispose();
+
+ return matrix;
+ }
+
+ ///
+ /// Reads a from the given file.
+ ///
+ /// The path and name of the file to read the matrix from.
+ /// Whether the the returned matrix should be constructed as sparse (true) or dense (false). Default: false.
+ /// Number delimiter between numbers of the same line. Supports Regex groups. Default: "\s" (white space).
+ /// Whether the first row contains column headers or not. Default: false.
+ /// The culture to use. Default: null.
+ /// A matrix containing the data from the .
+ /// The data type of the Matrix. It can be either: double, float, Complex, or Complex32.
+ public static Matrix ReadFile(string filePath, bool sparse = false, string delimiter = @"\s", bool hasHeaders = false, IFormatProvider formatProvider = null)
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ using (var reader = new StreamReader(filePath))
+ {
+ return Read(reader, sparse, delimiter, hasHeaders, formatProvider);
+ }
+ }
+
+ ///
+ /// Reads a from the given .
+ ///
+ /// The to read the matrix from.
+ /// Whether the the returned matrix should be constructed as sparse (true) or dense (false). Default: false.
+ /// Number delimiter between numbers of the same line. Supports Regex groups. Default: "\s" (white space).
+ /// Whether the first row contains column headers or not. Default: false.
+ /// The culture to use. Default: null.
+ /// A matrix containing the data from the .
+ /// The data type of the Matrix. It can be either: double, float, Complex, or Complex32.
+ public static Matrix ReadStream(Stream stream, bool sparse = false, string delimiter = @"\s", bool hasHeaders = false, IFormatProvider formatProvider = null)
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ using (var reader = new StreamReader(stream))
+ {
+ return Read(reader, sparse, delimiter, hasHeaders, formatProvider);
+ }
+ }
+
+ static Func CreateParser(IFormatProvider formatProvider)
+ {
+ if (typeof (T) == typeof (double))
+ {
+ return number => (T) (object) double.Parse(number, NumberStyles.Any, formatProvider);
+ }
+ if (typeof (T) == typeof (float))
+ {
+ return number => (T) (object) float.Parse(number, NumberStyles.Any, formatProvider);
+ }
+ if (typeof (T) == typeof (Complex))
+ {
+ return number => (T) (object) number.ToComplex(formatProvider);
+ }
+ if (typeof (T) == typeof (Complex32))
+ {
+ return number => (T) (object) number.ToComplex32(formatProvider);
+ }
+ throw new NotSupportedException();
+ }
+ }
+}
\ No newline at end of file
diff --git a/src/Data/Text/DelimitedWriter.cs b/src/Data/Text/DelimitedWriter.cs
new file mode 100644
index 00000000..fa88c6a6
--- /dev/null
+++ b/src/Data/Text/DelimitedWriter.cs
@@ -0,0 +1,215 @@
+//
+// 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) 2009-2013 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.
+//
+
+using System;
+using System.Collections.Generic;
+using System.IO;
+using MathNet.Numerics.LinearAlgebra;
+
+namespace MathNet.Numerics.Data.Text
+{
+ ///
+ /// Writes an to delimited text file. If the user does not
+ /// specify a delimiter, a tab separator is used.
+ ///
+ public class DelimitedWriter
+ {
+ ///
+ /// Initializes a new instance of the class, using a tabulator as the delimiter.
+ ///
+ public DelimitedWriter()
+ {
+ Delimiter = "\t";
+ }
+
+ ///
+ /// Initializes a new instance of the class, using the given delimiter.
+ ///
+ public DelimitedWriter(string delimiter)
+ {
+ Delimiter = delimiter;
+ }
+
+ ///
+ /// The delimiter to use.
+ ///
+ public string Delimiter { get; private set; }
+
+ ///
+ /// Gets or sets column headers. Headers are only written if the header list is neither null nor empty.
+ ///
+ public IList ColumnHeaders { get; set; }
+
+ ///
+ /// Gets or sets the number format to use when writing numbers.
+ ///
+ public string Format { get; set; }
+
+ ///
+ /// Gets or sets the number format culture provider to use when writing numbers.
+ ///
+ public IFormatProvider FormatProvider { get; set; }
+
+ ///
+ /// Writes the given to the given file. If the file already exists,
+ /// the file will be overwritten.
+ ///
+ /// The matrix to write.
+ /// The file to write the matrix to.
+ /// If either or is null.
+ /// The data type of the Matrix. It can be either: double, float, Complex, or Complex32.
+ public void WriteMatrix(Matrix matrix, string filePath)
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ WriteFile(matrix, filePath, Delimiter, ColumnHeaders, Format, FormatProvider);
+ }
+
+ ///
+ /// Writes the given to the given stream.
+ ///
+ /// The matrix to write.
+ /// The to write the matrix to.
+ /// If either or is null.
+ /// The data type of the Matrix. It can be either: double, float, Complex, or Complex32.
+ public void WriteMatrix(Matrix matrix, Stream stream)
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ WriteStream(matrix, stream, Delimiter, ColumnHeaders, Format, FormatProvider);
+ }
+
+ ///
+ /// Writes the given to the given .
+ ///
+ /// The matrix to write.
+ /// The to write the matrix to.
+ /// If either or is null.
+ /// The data type of the Matrix. It can be either: double, float, Complex, or Complex32.
+ public void WriteMatrix(Matrix matrix, TextWriter writer)
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ Write(matrix, writer, Delimiter, ColumnHeaders, Format, FormatProvider);
+ }
+
+ ///
+ /// Writes a matrix to the given TextWriter. Optionally accepts custom column headers, delimiter, number format and culture.
+ ///
+ /// The matrix to write.
+ /// The to write the matrix to.
+ /// Number delimiter to write between numbers of the same line. Default: "\t" (tabulator).
+ /// Custom column header. Headers are only written if non-null and non-empty headers are provided. Default: null.
+ /// The number format to use on each element. Default: null.
+ /// The culture to use. Default: null.
+ /// If either or is null.
+ /// The data type of the Matrix. It can be either: Double, Single, Complex, or Complex32.
+ public static void Write(Matrix matrix, TextWriter writer, string delimiter = "\t", IList columnHeaders = null, string format = null, IFormatProvider formatProvider = null)
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ if (matrix == null)
+ {
+ throw new ArgumentNullException("matrix");
+ }
+
+ if (writer == null)
+ {
+ throw new ArgumentNullException("writer");
+ }
+
+ if (columnHeaders != null && columnHeaders.Count > 0)
+ {
+ for (var i = 0; i < columnHeaders.Count - 1; i++)
+ {
+ writer.Write(columnHeaders[i]);
+ writer.Write(delimiter);
+ }
+
+ writer.WriteLine(columnHeaders[columnHeaders.Count - 1]);
+ }
+
+ var cols = matrix.ColumnCount - 1;
+ var rows = matrix.RowCount - 1;
+ for (var i = 0; i < matrix.RowCount; i++)
+ {
+ for (var j = 0; j < matrix.ColumnCount; j++)
+ {
+ writer.Write(matrix[i, j].ToString(format, formatProvider));
+ if (j != cols)
+ {
+ writer.Write(delimiter);
+ }
+ }
+
+ if (i != rows)
+ {
+ writer.Write(Environment.NewLine);
+ }
+ }
+ }
+
+ ///
+ /// Writes a matrix to the given file. Optionally accepts custom column headers, delimiter, number format and culture.
+ ///
+ /// The matrix to write.
+ /// The path and name of the file to write the matrix to. If the file already exists, the file will be overwritten.
+ /// Number delimiter to write between numbers of the same line. Default: "\t" (tabulator).
+ /// Custom column header. Headers are only written if non-null and non-empty headers are provided. Default: null.
+ /// The number format to use on each element. Default: null.
+ /// The culture to use. Default: null.
+ /// If either or is null.
+ /// The data type of the Matrix. It can be either: Double, Single, Complex, or Complex32.
+ public static void WriteFile(Matrix matrix, string filePath, string delimiter = "\t", IList columnHeaders = null, string format = null, IFormatProvider formatProvider = null)
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ using (var writer = new StreamWriter(filePath))
+ {
+ Write(matrix, writer, delimiter, columnHeaders, format, formatProvider);
+ }
+ }
+
+ ///
+ /// Writes a matrix to the given stream. Optionally accepts custom column headers, delimiter, number format and culture.
+ ///
+ /// The matrix to write.
+ /// The to write the matrix to.
+ /// Number delimiter to write between numbers of the same line. Default: "\t" (tabulator).
+ /// Custom column header. Headers are only written if non-null and non-empty headers are provided. Default: null.
+ /// The number format to use on each element. Default: null.
+ /// The culture to use. Default: null.
+ /// If either or is null.
+ /// The data type of the Matrix. It can be either: Double, Single, Complex, or Complex32.
+ public static void WriteStream(Matrix matrix, Stream stream, string delimiter = "\t", IList columnHeaders = null, string format = null, IFormatProvider formatProvider = null)
+ where TDataType : struct, IEquatable, IFormattable
+ {
+ using (var writer = new StreamWriter(stream))
+ {
+ Write(matrix, writer, delimiter, columnHeaders, format, formatProvider);
+ }
+ }
+ }
+}
diff --git a/src/Data/Text/MatrixMarketReader.cs b/src/Data/Text/MatrixMarketReader.cs
new file mode 100644
index 00000000..f357fce4
--- /dev/null
+++ b/src/Data/Text/MatrixMarketReader.cs
@@ -0,0 +1,374 @@
+//
+// 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) 2009-2013 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.
+//
+
+using System;
+using System.Collections.Generic;
+using System.Globalization;
+using System.IO;
+using System.IO.Compression;
+using System.Linq;
+using System.Numerics;
+using MathNet.Numerics.LinearAlgebra;
+
+namespace MathNet.Numerics.Data.Text
+{
+ internal enum MatrixMarketSymmetry
+ {
+ General,
+ Symmetric,
+ SkewSymmetric,
+ Hermitian
+ }
+
+ ///
+ /// NIST MatrixMarket Format Reader (http://math.nist.gov/MatrixMarket/)
+ ///
+ public static class MatrixMarketReader
+ {
+ static readonly char[] Separators = {' '};
+ static readonly NumberFormatInfo Format = CultureInfo.InvariantCulture.NumberFormat;
+
+ public static Matrix ReadMatrix(string filePath, bool compressed = false) where T : struct, IEquatable, IFormattable
+ {
+ using (var stream = File.OpenRead(filePath))
+ {
+ if (compressed)
+ {
+ using (var decompressed = new GZipStream(stream, CompressionMode.Decompress))
+ using (var reader = new StreamReader(decompressed))
+ {
+ return ReadMatrix(reader);
+ }
+ }
+ using (var reader = new StreamReader(stream))
+ {
+ return ReadMatrix(reader);
+ }
+ }
+ }
+
+ public static Vector ReadVector(string filePath, bool compressed = false) where T : struct, IEquatable, IFormattable
+ {
+ using (var stream = File.OpenRead(filePath))
+ {
+ if (compressed)
+ {
+ using (var decompressed = new GZipStream(stream, CompressionMode.Decompress))
+ using (var reader = new StreamReader(decompressed))
+ {
+ return ReadVector(reader);
+ }
+ }
+ using (var reader = new StreamReader(stream))
+ {
+ return ReadVector(reader);
+ }
+ }
+ }
+
+ public static Matrix ReadMatrix(Stream stream) where T : struct, IEquatable, IFormattable
+ {
+ using (var reader = new StreamReader(stream))
+ {
+ return ReadMatrix(reader);
+ }
+ }
+
+ public static Vector ReadVector(Stream stream) where T : struct, IEquatable, IFormattable
+ {
+ using (var reader = new StreamReader(stream))
+ {
+ return ReadVector(reader);
+ }
+ }
+
+ public static Matrix ReadMatrix(TextReader reader) where T : struct, IEquatable, IFormattable
+ {
+ bool complex, sparse;
+ MatrixMarketSymmetry symmetry;
+ ExpectHeader(reader, true, out complex, out sparse, out symmetry);
+
+ var parse = CreateValueParser(complex);
+
+ var sizes = ExpectLine(reader).Split(Separators, StringSplitOptions.RemoveEmptyEntries);
+ int rows = int.Parse(sizes[0]);
+ int cols = int.Parse(sizes[1]);
+
+ if (sparse)
+ {
+ var indexed = ReadTokenLines(reader).Select(tokens => new Tuple(int.Parse(tokens[0]) - 1, int.Parse(tokens[1]) - 1, parse(2, tokens)));
+ return Matrix.Build.SparseOfIndexed(rows, cols, symmetry == MatrixMarketSymmetry.General ? indexed : ExpandSparse(symmetry, indexed));
+ }
+
+ var columnMajor = ReadTokenLines(reader).Select(tokens => parse(0, tokens));
+ switch (symmetry)
+ {
+ case MatrixMarketSymmetry.General:
+ {
+ return Matrix.Build.DenseOfColumnMajor(rows, cols, columnMajor);
+ }
+ case MatrixMarketSymmetry.Symmetric:
+ {
+ var m = Matrix.Build.Dense(rows, cols);
+ int k = 0;
+ foreach (var slice in SliceDecreasing(rows, columnMajor))
+ {
+ var vector = Vector.Build.Dense(slice);
+ m.SetColumn(k, k, rows - k, vector);
+ m.SetRow(k, k, cols - k, vector);
+ k++;
+ }
+ return m;
+ }
+ case MatrixMarketSymmetry.Hermitian:
+ {
+ var m = Matrix.Build.Dense(rows, cols);
+ int k = 0;
+ foreach (var slice in SliceDecreasing(rows, columnMajor))
+ {
+ var vector = Vector.Build.Dense(slice);
+ m.SetColumn(k, k, rows - k, vector);
+ m.SetRow(k, k, cols - k, vector.Conjugate());
+ k++;
+ }
+ return m;
+ }
+ case MatrixMarketSymmetry.SkewSymmetric:
+ {
+ var m = Matrix.Build.Dense(rows, cols);
+ int k = 0;
+ foreach (var slice in SliceDecreasing(rows - 1, columnMajor))
+ {
+ var vector = Vector.Build.Dense(slice);
+ m.SetColumn(k, k + 1, rows - 1 - k, vector);
+ m.SetRow(k, k + 1, cols - 1 - k, vector);
+ k++;
+ }
+ return m;
+ }
+ default:
+ throw new NotSupportedException("Symmetry type not supported.");
+ }
+ }
+
+ public static Vector ReadVector(TextReader reader)
+ where T : struct, IEquatable, IFormattable
+ {
+ bool complex, sparse;
+ MatrixMarketSymmetry symmetry;
+ ExpectHeader(reader, false, out complex, out sparse, out symmetry);
+
+ var parse = CreateValueParser(complex);
+
+ var sizes = ExpectLine(reader).Split(Separators, StringSplitOptions.RemoveEmptyEntries);
+ int length = int.Parse(sizes[0]);
+
+ if (sparse)
+ {
+ var indexedSeq = ReadTokenLines(reader).Select(tokens => new Tuple(int.Parse(tokens[0]) - 1, parse(1, tokens)));
+ return Vector.Build.SparseOfIndexed(length, indexedSeq);
+ }
+
+ return Vector.Build.Dense(ReadTokenLines(reader).Select(tokens => parse(0, tokens)).ToArray());
+ }
+
+ static void ExpectHeader(TextReader reader, bool matrix, out bool complex, out bool sparse, out MatrixMarketSymmetry symmetry)
+ {
+ string line;
+ while ((line = reader.ReadLine()) != null)
+ {
+ line = line.Trim();
+ if (line.StartsWith("%%MatrixMarket"))
+ {
+ var tokens = line.ToLowerInvariant().Substring(15).Split(Separators, StringSplitOptions.RemoveEmptyEntries);
+ if (tokens.Length < 2)
+ {
+ throw new FormatException(@"Expected MatrixMarket Header with 2-4 attributes: object format [field] [symmetry]; see http://math.nist.gov/MatrixMarket/ for details.");
+ }
+ if (tokens[0] != (matrix ? "matrix" : "vector"))
+ {
+ throw new FormatException("Expected matrix content.");
+ }
+ switch (tokens[1])
+ {
+ case "array":
+ sparse = false;
+ break;
+ case "coordinate":
+ sparse = true;
+ break;
+ default:
+ throw new NotSupportedException("Format type not supported.");
+ }
+ if (tokens.Length < 3)
+ {
+ complex = false;
+ }
+ else
+ {
+ switch (tokens[2])
+ {
+ case "real":
+ case "double":
+ case "integer":
+ complex = false;
+ break;
+ case "complex":
+ complex = true;
+ break;
+ default:
+ throw new NotSupportedException("Field type not supported.");
+ }
+ }
+ if (tokens.Length < 4)
+ {
+ symmetry = MatrixMarketSymmetry.General;
+ }
+ else
+ {
+ switch (tokens[3])
+ {
+ case "general":
+ symmetry = MatrixMarketSymmetry.General;
+ break;
+ case "symmetric":
+ symmetry = MatrixMarketSymmetry.Symmetric;
+ break;
+ case "skew-symmetric":
+ symmetry = MatrixMarketSymmetry.SkewSymmetric;
+ break;
+ case "hermitian":
+ symmetry = MatrixMarketSymmetry.Hermitian;
+ break;
+ default:
+ throw new NotSupportedException("Symmetry type not supported");
+ }
+ }
+ return;
+ }
+ }
+ throw new FormatException(@"Expected MatrixMarket Header, see http://math.nist.gov/MatrixMarket/ for details.");
+ }
+
+ static string ExpectLine(TextReader reader)
+ {
+ string line;
+ while ((line = reader.ReadLine()) != null)
+ {
+ var trim = line.Trim();
+ if (trim.Length > 0 && !trim.StartsWith("%"))
+ {
+ return trim;
+ }
+ }
+
+ throw new FormatException(@"End of file reached unexpectedly.");
+ }
+
+ static IEnumerable ReadTokenLines(TextReader reader)
+ {
+ string line;
+ while ((line = reader.ReadLine()) != null)
+ {
+ var trim = line.Trim();
+ if (trim.Length > 0 && !trim.StartsWith("%"))
+ {
+ yield return trim.Split(Separators, StringSplitOptions.RemoveEmptyEntries);
+ }
+ }
+ }
+
+ static IEnumerable> ExpandSparse(MatrixMarketSymmetry symmetry, IEnumerable> indexedValues)
+ {
+ var map = CreateSymmetryMap(symmetry);
+ foreach (var x in indexedValues)
+ {
+ yield return x;
+ if (x.Item1 != x.Item2)
+ {
+ yield return new Tuple(x.Item2, x.Item1, map(x.Item3));
+ }
+ }
+ }
+
+ static IEnumerable SliceDecreasing(int initialLength, IEnumerable columnMajor)
+ {
+ int nextIndex = 0;
+ var slice = new T[initialLength];
+ foreach (var value in columnMajor)
+ {
+ if (nextIndex == initialLength)
+ {
+ yield return slice;
+ slice = new T[--initialLength];
+ nextIndex = 0;
+ }
+ slice[nextIndex++] = value;
+ }
+ yield return slice;
+ }
+
+ static Func CreateValueParser(bool sourceIsComplex)
+ {
+ if (typeof (T) == typeof (double))
+ {
+ // ignore imaginary part if source is complex
+ return (offset, tokens) => (T) (object) double.Parse(tokens[offset], NumberStyles.Any, Format);
+ }
+ if (typeof (T) == typeof (float))
+ {
+ // ignore imaginary part if source is complex
+ return (offset, tokens) => (T) (object) float.Parse(tokens[offset], NumberStyles.Any, Format);
+ }
+ if (typeof (T) == typeof (Complex))
+ {
+ return sourceIsComplex
+ ? ((offset, tokens) => (T) (object) new Complex(double.Parse(tokens[offset], NumberStyles.Any, Format), double.Parse(tokens[offset + 1], NumberStyles.Any, Format)))
+ : (Func) ((offset, tokens) => (T) (object) new Complex(double.Parse(tokens[offset], NumberStyles.Any, Format), 0d));
+ }
+ if (typeof (T) == typeof (Complex32))
+ {
+ return sourceIsComplex
+ ? ((offset, tokens) => (T) (object) new Complex32(float.Parse(tokens[offset], NumberStyles.Any, Format), float.Parse(tokens[offset + 1], NumberStyles.Any, Format)))
+ : (Func) ((offset, tokens) => (T) (object) new Complex32(float.Parse(tokens[offset], NumberStyles.Any, Format), 0f));
+ }
+ throw new NotSupportedException();
+ }
+
+ static Func CreateSymmetryMap(MatrixMarketSymmetry symmetry)
+ {
+ if (symmetry != MatrixMarketSymmetry.Hermitian) return x => x;
+ if (typeof (T) == typeof (double) || typeof (T) == typeof (float)) return x => x;
+ if (typeof (T) == typeof (Complex)) return x => (T) (object) ((Complex) (object) x).Conjugate();
+ if (typeof (T) == typeof (Complex32)) return x => (T) (object) ((Complex32) (object) x).Conjugate();
+ throw new NotSupportedException();
+ }
+ }
+}
diff --git a/src/Data/Text/MatrixMarketWriter.cs b/src/Data/Text/MatrixMarketWriter.cs
new file mode 100644
index 00000000..a19e31eb
--- /dev/null
+++ b/src/Data/Text/MatrixMarketWriter.cs
@@ -0,0 +1,227 @@
+//
+// 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) 2009-2013 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.
+//
+
+using System;
+using System.Globalization;
+using System.IO;
+using System.IO.Compression;
+using System.Numerics;
+using MathNet.Numerics.LinearAlgebra;
+using MathNet.Numerics.LinearAlgebra.Storage;
+
+namespace MathNet.Numerics.Data.Text
+{
+ ///
+ /// NIST MatrixMarket Format Writer (http://math.nist.gov/MatrixMarket/)
+ ///
+ public static class MatrixMarketWriter
+ {
+ static readonly NumberFormatInfo Format = CultureInfo.InvariantCulture.NumberFormat;
+
+ public static void WriteMatrix(string filePath, Matrix matrix, bool compress = false) where T : struct, IEquatable, IFormattable
+ {
+ using (var stream = File.OpenWrite(filePath))
+ {
+ if (compress)
+ {
+ using (var compressed = new GZipStream(stream, CompressionMode.Compress))
+ using (var buffered = new BufferedStream(compressed, 4096))
+ using (var writer = new StreamWriter(buffered))
+ {
+ WriteMatrix(writer, matrix);
+ return;
+ }
+ }
+ using (var writer = new StreamWriter(stream))
+ {
+ WriteMatrix(writer, matrix);
+ }
+ }
+ }
+
+ public static void WriteVector(string filePath, Vector vector, bool compress = false) where T : struct, IEquatable, IFormattable
+ {
+ using (var stream = File.OpenRead(filePath))
+ {
+ if (compress)
+ {
+ using (var compressed = new GZipStream(stream, CompressionMode.Compress))
+ using (var buffered = new BufferedStream(compressed, 4096))
+ using (var writer = new StreamWriter(buffered))
+ {
+ WriteVector(writer, vector);
+ return;
+ }
+ }
+ using (var writer = new StreamWriter(stream))
+ {
+ WriteVector(writer, vector);
+ }
+ }
+ }
+
+ public static void WriteMatrix(Stream stream, Matrix matrix) where T : struct, IEquatable, IFormattable
+ {
+ using (var writer = new StreamWriter(stream))
+ {
+ WriteMatrix(writer, matrix);
+ }
+ }
+
+ public static void WriteVector(Stream stream, Vector vector) where T : struct, IEquatable, IFormattable
+ {
+ using (var writer = new StreamWriter(stream))
+ {
+ WriteVector(writer, vector);
+ }
+ }
+
+ public static void WriteMatrix(TextWriter writer, Matrix matrix) where T : struct, IEquatable, IFormattable
+ {
+ var complex = typeof (T) == typeof (Complex) || typeof (T) == typeof (Complex32);
+ var format = CreateValueFormatter();
+ var storage = matrix.Storage;
+
+ var sparse = storage as SparseCompressedRowMatrixStorage;
+ if (sparse != null)
+ {
+ writer.WriteLine("%%MatrixMarket matrix coordinate {0} general", complex ? "complex" : "real");
+ writer.WriteLine("{0} {1} {2}", sparse.RowCount, sparse.ColumnCount, sparse.ValueCount);
+ for (int row = 0; row < sparse.RowCount; row++)
+ {
+ var endIndex = sparse.RowPointers[row + 1];
+ for (var j = sparse.RowPointers[row]; j < endIndex; j++)
+ {
+ writer.WriteLine("{0} {1} {2}", row + 1, sparse.ColumnIndices[j] + 1, format(sparse.Values[j]));
+ }
+ }
+ return;
+ }
+
+ var diagonal = storage as DiagonalMatrixStorage;
+ if (diagonal != null)
+ {
+ writer.WriteLine("%%MatrixMarket matrix coordinate {0} general", complex ? "complex" : "real");
+ writer.WriteLine("{0} {1} {2}", diagonal.RowCount, diagonal.ColumnCount, diagonal.Data.Length);
+ for (int k = 0; k < diagonal.Data.Length; k++)
+ {
+ writer.WriteLine("{0} {1} {2}", k + 1, k + 1, format(diagonal.Data[k]));
+ }
+ return;
+ }
+
+ var dense = storage as DenseColumnMajorMatrixStorage;
+ if (dense != null)
+ {
+ writer.WriteLine("%%MatrixMarket matrix array {0} general", complex ? "complex" : "real");
+ writer.WriteLine("{0} {1}", dense.RowCount, dense.ColumnCount);
+ foreach (var value in dense.Data)
+ {
+ writer.WriteLine(format(value));
+ }
+ return;
+ }
+
+ writer.WriteLine("%%MatrixMarket matrix array {0} general", complex ? "complex" : "real");
+ writer.WriteLine("{0} {1}", storage.RowCount, storage.ColumnCount);
+ foreach (var value in storage.ToColumnMajorArray())
+ {
+ writer.WriteLine(format(value));
+ }
+ }
+
+ public static void WriteVector(TextWriter writer, Vector vector) where T : struct, IEquatable, IFormattable
+ {
+ var complex = typeof (T) == typeof (Complex) || typeof (T) == typeof (Complex32);
+ var format = CreateValueFormatter();
+ var storage = vector.Storage;
+
+ var sparse = storage as SparseVectorStorage;
+ if (sparse != null)
+ {
+ writer.WriteLine("%%MatrixMarket vector coordinate {0}", complex ? "complex" : "real");
+ writer.WriteLine("{0} {1}", sparse.Length, sparse.ValueCount);
+ for (var k = 0; k < sparse.ValueCount; k++)
+ {
+ writer.WriteLine("{0} {1}", k + 1, format(sparse.Values[k]));
+ }
+ return;
+ }
+
+ var dense = storage as DenseVectorStorage;
+ if (dense != null)
+ {
+ writer.WriteLine("%%MatrixMarket vector array {0}", complex ? "complex" : "real");
+ writer.WriteLine("{0}", dense.Length);
+ foreach (var value in dense.Data)
+ {
+ writer.WriteLine(format(value));
+ }
+ return;
+ }
+
+ writer.WriteLine("%%MatrixMarket vector array {0}", complex ? "complex" : "real");
+ writer.WriteLine("{0}", storage.Length);
+ foreach (var value in storage.Enumerate())
+ {
+ writer.WriteLine(format(value));
+ }
+ }
+
+ static Func CreateValueFormatter() where T : IFormattable
+ {
+ if (typeof (T) == typeof (double))
+ {
+ return value => string.Format(Format, "{0:G14}", value);
+ }
+ if (typeof (T) == typeof (float))
+ {
+ return value => string.Format(Format, "{0:G7}", value);
+ }
+ if (typeof (T) == typeof (Complex))
+ {
+ return value =>
+ {
+ var c = (Complex) (object) value;
+ return string.Format(Format, "{0:G14} {1:G14}", c.Real, c.Imaginary);
+ };
+ }
+ if (typeof (T) == typeof (Complex32))
+ {
+ return value =>
+ {
+ var c = (Complex32) (object) value;
+ return string.Format(Format, "{0:G7} {1:G7}", c.Real, c.Imaginary);
+ };
+ }
+ throw new NotSupportedException();
+ }
+ }
+}
diff --git a/src/Data/Text/Properties/AssemblyInfo.cs b/src/Data/Text/Properties/AssemblyInfo.cs
new file mode 100644
index 00000000..f45b9d41
--- /dev/null
+++ b/src/Data/Text/Properties/AssemblyInfo.cs
@@ -0,0 +1,46 @@
+//
+// Math.NET Numerics, part of the Math.NET Project
+// http://mathnet.opensourcedotnet.info
+//
+// Copyright (c) 2009-2013 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.
+//
+
+using System;
+using System.Reflection;
+using System.Runtime.InteropServices;
+
+[assembly: AssemblyTitle("Math.NET Numerics - Text Data I/O Extensions")]
+[assembly: AssemblyDescription("")]
+[assembly: AssemblyConfiguration("")]
+[assembly: AssemblyCompany("Marcus Cuda, Christoph Ruegg")]
+[assembly: AssemblyProduct("Math.NET Numerics")]
+[assembly: AssemblyCopyright("Copyright © Math.NET Project")]
+[assembly: AssemblyTrademark("")]
+[assembly: AssemblyCulture("")]
+[assembly: CLSCompliant(true)]
+[assembly: ComVisible(false)]
+[assembly: Guid("d9f6a513-7772-4a7d-a15e-668dfcdf5b00")]
+
+[assembly: AssemblyVersion("1.0.0.0")]
+[assembly: AssemblyFileVersion("1.0.0.0")]
diff --git a/src/Data/Text/Text.csproj b/src/Data/Text/Text.csproj
new file mode 100644
index 00000000..d1606c57
--- /dev/null
+++ b/src/Data/Text/Text.csproj
@@ -0,0 +1,71 @@
+
+
+
+
+ Debug
+ AnyCPU
+ {9D3A08E1-6B96-4552-A535-412E589B3264}
+ Library
+ Properties
+ MathNet.Numerics.Data.Text
+ MathNet.Numerics.Data.Text
+ v4.0
+ 512
+
+
+ true
+ full
+ false
+ ..\..\..\out\lib-debug\Net40\
+ ..\..\..\obj\lib-debug\Net40\
+ ..\..\..\obj\lib-debug\Net40\
+ DEBUG;TRACE
+ prompt
+ 4
+
+
+ pdbonly
+ true
+ ..\..\..\out\lib\Net40\
+ ..\..\..\obj\lib\Net40\
+ ..\..\..\obj\lib\Net40\
+ ..\..\..\out\lib\Net40\MathNet.Numerics.Data.Text.xml
+ TRACE
+ prompt
+ 4
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ {b7cae5f4-a23f-4438-b5be-41226618b695}
+ Numerics
+
+
+
+
+
\ No newline at end of file
diff --git a/src/Data/Text/packages.config b/src/Data/Text/packages.config
new file mode 100644
index 00000000..a2bc04f7
--- /dev/null
+++ b/src/Data/Text/packages.config
@@ -0,0 +1,4 @@
+
+
+
+
\ No newline at end of file
diff --git a/src/DataUnitTests/AssertHelpers.cs b/src/DataUnitTests/AssertHelpers.cs
new file mode 100644
index 00000000..526fb3de
--- /dev/null
+++ b/src/DataUnitTests/AssertHelpers.cs
@@ -0,0 +1,277 @@
+//
+// 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) 2009-2010 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.
+//
+
+using System.Collections.Generic;
+using System.Numerics;
+using NUnit.Framework;
+
+namespace MathNet.Numerics.Data.UnitTests
+{
+ ///
+ /// A class which includes some assertion helper methods particularly for numerical code.
+ ///
+ internal class AssertHelpers
+ {
+ ///
+ /// Asserts that the expected value and the actual value are equal.
+ ///
+ /// The expected value.
+ /// The actual value.
+ public static void AreEqual(Complex expected, Complex actual)
+ {
+ if (expected.IsNaN() && actual.IsNaN())
+ {
+ return;
+ }
+
+ if (expected.IsInfinity() && expected.IsInfinity())
+ {
+ return;
+ }
+
+ var pass = expected.Real.AlmostEqual(actual.Real);
+ if (!pass)
+ {
+ Assert.Fail("Real components are not equal. Expected:{0}; Actual:{1}", expected.Real, actual.Real);
+ }
+
+ pass = expected.Imaginary.AlmostEqual(actual.Imaginary);
+ if (!pass)
+ {
+ Assert.Fail("Imaginary components are not equal. Expected:{0}; Actual:{1}", expected.Imaginary, actual.Imaginary);
+ }
+ }
+
+ ///
+ /// Asserts that the expected value and the actual value are equal.
+ ///
+ /// The expected value.
+ /// The actual value.
+ public static void AreEqual(Complex32 expected, Complex32 actual)
+ {
+ if (expected.IsNaN() && actual.IsNaN())
+ {
+ return;
+ }
+
+ if (expected.IsInfinity() && expected.IsInfinity())
+ {
+ return;
+ }
+
+ var pass = expected.Real.AlmostEqual(actual.Real);
+ if (!pass)
+ {
+ Assert.Fail("Real components are not equal. Expected:{0}; Actual:{1}", expected.Real, actual.Real);
+ }
+
+ pass = expected.Imaginary.AlmostEqual(actual.Imaginary);
+ if (!pass)
+ {
+ Assert.Fail("Imaginary components are not equal. Expected:{0}; Actual:{1}", expected.Imaginary, actual.Imaginary);
+ }
+ }
+
+ ///
+ /// Asserts that the expected value and the actual value are equal up to a certain number of decimal places. If both
+ /// and are NaN then no assert is thrown.
+ ///
+ /// The expected value.
+ /// The actual value.
+ /// The number of decimal places to agree on.
+ public static void AlmostEqual(double expected, double actual, int decimalPlaces)
+ {
+ if (double.IsNaN(expected) && double.IsNaN(actual))
+ {
+ return;
+ }
+
+ var pass = expected.AlmostEqualRelative(actual, decimalPlaces);
+ if (!pass)
+ {
+ // signals Gallio that the test failed.
+ Assert.Fail("Not equal within {0} places. Expected:{1}; Actual:{2}", decimalPlaces, expected, actual);
+ }
+ }
+
+ ///
+ /// Asserts that the expected value and the actual value are equal up to a certain number of decimal places. If both
+ /// and are NaN then no assert is thrown.
+ ///
+ /// The expected value.
+ /// The actual value.
+ /// The number of decimal places to agree on.
+ public static void AlmostEqual(float expected, float actual, int decimalPlaces)
+ {
+ if (float.IsNaN(expected) && float.IsNaN(actual))
+ {
+ return;
+ }
+
+ var pass = expected.AlmostEqualRelative(actual, decimalPlaces);
+ if (!pass)
+ {
+ // signals Gallio that the test failed.
+ Assert.Fail("Not equal within {0} places. Expected:{1}; Actual:{2}", decimalPlaces, expected, actual);
+ }
+ }
+
+ ///
+ /// Asserts that the expected value and the actual value are equal up to a certain number of decimal places.
+ ///
+ /// The expected value.
+ /// The actual value.
+ /// The number of decimal places to agree on.
+ public static void AlmostEqual(Complex expected, Complex actual, int decimalPlaces)
+ {
+ var pass = expected.Real.AlmostEqualRelative(actual.Real, decimalPlaces);
+ if (!pass)
+ {
+ Assert.Fail("Real components are not equal within {0} places. Expected:{1}; Actual:{2}", decimalPlaces, expected.Real, actual.Real);
+ }
+
+ pass = expected.Imaginary.AlmostEqualRelative(actual.Imaginary, decimalPlaces);
+ if (!pass)
+ {
+ Assert.Fail("Imaginary components are not equal within {0} places. Expected:{1}; Actual:{2}", decimalPlaces, expected.Imaginary, actual.Imaginary);
+ }
+ }
+
+ ///
+ /// Asserts that the expected value and the actual value are equal up to a certain number of decimal places.
+ ///
+ /// The expected value.
+ /// The actual value.
+ /// The number of decimal places to agree on.
+ public static void AlmostEqual(Complex32 expected, Complex32 actual, int decimalPlaces)
+ {
+ var pass = expected.Real.AlmostEqualRelative(actual.Real, decimalPlaces);
+ if (!pass)
+ {
+ Assert.Fail("Real components are not equal within {0} places. Expected:{1}; Actual:{2}", decimalPlaces, expected.Real, actual.Real);
+ }
+
+ pass = expected.Imaginary.AlmostEqualRelative(actual.Imaginary, decimalPlaces);
+ if (!pass)
+ {
+ Assert.Fail("Imaginary components are not equal within {0} places. Expected:{1}; Actual:{2}", decimalPlaces, expected.Imaginary, actual.Imaginary);
+ }
+ }
+
+ ///
+ /// Asserts that the expected value and the actual value are equal up to a certain
+ /// maximum error.
+ ///
+ /// The type of the structures. Must implement
+ /// .
+ /// The expected value.
+ /// The actual value.
+ /// The accuracy required for being almost equal.
+ public static void AlmostEqual(T expected, T actual, double maximumError)
+ where T : IPrecisionSupport
+ {
+ if (!actual.AlmostEqualNorm(expected, maximumError))
+ {
+ Assert.Fail("Not equal within a maximum error {0}. Expected:{1}; Actual:{2}", maximumError, expected, actual);
+ }
+ }
+
+ ///
+ /// Asserts that the expected value and the actual value are equal up to a certain
+ /// maximum error.
+ ///
+ /// The expected value list.
+ /// The actual value list.
+ /// The accuracy required for being almost equal.
+ public static void AlmostEqualList(IList expected, IList actual, double maximumError)
+ {
+ for (var i = 0; i < expected.Count; i++)
+ {
+ if (!actual[i].AlmostEqual(expected[i], maximumError))
+ {
+ Assert.Fail("Not equal within a maximum error {0}. Expected:{1}; Actual:{2}", maximumError, expected[i], actual[i]);
+ }
+ }
+ }
+
+ ///
+ /// Asserts that the expected value and the actual value are equal up to a certain
+ /// maximum error.
+ ///
+ /// The expected value list.
+ /// The actual value list.
+ /// The accuracy required for being almost equal.
+ public static void AlmostEqualList(IList expected, IList actual, double maximumError)
+ {
+ for (var i = 0; i < expected.Count; i++)
+ {
+ if (!actual[i].AlmostEqual(expected[i], maximumError))
+ {
+ Assert.Fail("Not equal within a maximum error {0}. Expected:{1}; Actual:{2}", maximumError, expected[i], actual[i]);
+ }
+ }
+ }
+
+ ///
+ /// Asserts that the expected value and the actual value are equal up to a certain
+ /// maximum error.
+ ///
+ /// The type of the structures. Must implement
+ /// .
+ /// The expected value list.
+ /// The actual value list.
+ /// The accuracy required for being almost equal.
+ public static void AlmostEqualList(IList expected, IList actual, double maximumError)
+ where T : IPrecisionSupport
+ {
+ for (var i = 0; i < expected.Count; i++)
+ {
+ if (!actual[i].AlmostEqualNorm(expected[i], maximumError))
+ {
+ Assert.Fail("Not equal within a maximum error {0}. Expected:{1}; Actual:{2}", maximumError, expected[i], actual[i]);
+ }
+ }
+ }
+
+ ///
+ /// Asserts that the expected value and the actual value are equal up to a certain
+ /// maximum error.
+ ///
+ /// The expected value list.
+ /// The actual value list.
+ /// The accuracy required for being almost equal.
+ public static void AlmostEqualList(IList expected, IList actual, double maximumError)
+ {
+ for (var i = 0; i < expected.Count; i++)
+ {
+ if (!actual[i].AlmostEqual(expected[i], maximumError))
+ {
+ Assert.Fail("Not equal within a maximum error {0}. Expected:{1}; Actual:{2}", maximumError, expected[i], actual[i]);
+ }
+ }
+ }
+ }
+}
diff --git a/src/DataUnitTests/Matlab/MatlabReaderTests.cs b/src/DataUnitTests/Matlab/MatlabReaderTests.cs
new file mode 100644
index 00000000..ccfab689
--- /dev/null
+++ b/src/DataUnitTests/Matlab/MatlabReaderTests.cs
@@ -0,0 +1,419 @@
+//
+// 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) 2009-2010 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.
+//
+
+using System.Numerics;
+using MathNet.Numerics.Data.Matlab;
+using NUnit.Framework;
+
+namespace MathNet.Numerics.Data.UnitTests.Matlab
+{
+ ///
+ /// Matlab matrix reader test.
+ ///
+ [TestFixture]
+ public class MatlabMatrixReaderTests
+ {
+ ///
+ /// Can read all matrices.
+ ///
+ [Test]
+ public void CanReadAllMatrices()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/collection.mat");
+ var matrices = dmr.ReadMatrices();
+ Assert.AreEqual(30, matrices.Count);
+ foreach (var matrix in matrices)
+ {
+ Assert.AreEqual(typeof(LinearAlgebra.Double.DenseMatrix), matrix.Value.GetType());
+ }
+ }
+
+ ///
+ /// Can read first matrix.
+ ///
+ [Test]
+ public void CanReadFirstMatrix()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/A.mat");
+ var matrix = dmr.ReadMatrix();
+ Assert.AreEqual(100, matrix.RowCount);
+ Assert.AreEqual(100, matrix.ColumnCount);
+ Assert.AreEqual(typeof(LinearAlgebra.Double.DenseMatrix), matrix.GetType());
+ AssertHelpers.AlmostEqual(100.108979553704, matrix.FrobeniusNorm(), 5);
+ }
+
+ ///
+ /// Can read named matrices.
+ ///
+ [Test]
+ public void CanReadNamedMatrices()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/collection.mat");
+ var matrices = dmr.ReadMatrices(new[] { "Ad", "Au64" });
+ Assert.AreEqual(2, matrices.Count);
+ foreach (var matrix in matrices)
+ {
+ Assert.AreEqual(typeof(LinearAlgebra.Double.DenseMatrix), matrix.Value.GetType());
+ }
+ }
+
+ ///
+ /// Can read named matrix.
+ ///
+ [Test]
+ public void CanReadNamedMatrix()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/collection.mat");
+ var matrices = dmr.ReadMatrices(new[] { "Ad" });
+ Assert.AreEqual(1, matrices.Count);
+ var ad = matrices["Ad"];
+ Assert.AreEqual(100, ad.RowCount);
+ Assert.AreEqual(100, ad.ColumnCount);
+ AssertHelpers.AlmostEqual(100.431635988639, ad.FrobeniusNorm(), 5);
+ Assert.AreEqual(typeof(LinearAlgebra.Double.DenseMatrix), ad.GetType());
+ }
+
+ ///
+ /// Can read named sparse matrix.
+ ///
+ [Test]
+ public void CanReadNamedSparseMatrix()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/sparse-small.mat");
+ var matrix = dmr.ReadMatrix("S");
+ Assert.AreEqual(100, matrix.RowCount);
+ Assert.AreEqual(100, matrix.ColumnCount);
+ Assert.AreEqual(typeof(LinearAlgebra.Double.SparseMatrix), matrix.GetType());
+ AssertHelpers.AlmostEqual(17.6385090630805, matrix.FrobeniusNorm(), 12);
+ }
+
+ ///
+ /// Can read all complex matrices.
+ ///
+ [Test]
+ public void CanReadComplexAllMatrices()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/complex.mat");
+ var matrices = dmr.ReadMatrices();
+ Assert.AreEqual(3, matrices.Count);
+ foreach (var matrix in matrices)
+ {
+ Assert.AreEqual(typeof(LinearAlgebra.Complex.DenseMatrix), matrix.Value.GetType());
+ }
+
+ var a = matrices["a"];
+
+ Assert.AreEqual(100, a.RowCount);
+ Assert.AreEqual(100, a.ColumnCount);
+ AssertHelpers.AlmostEqual(27.232498979698409, a.L2Norm(), 13);
+ }
+
+ ///
+ /// Can read sparse complex matrices.
+ ///
+ [Test]
+ public void CanReadSparseComplexAllMatrices()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/sparse_complex.mat");
+ var matrices = dmr.ReadMatrices();
+ Assert.AreEqual(3, matrices.Count);
+ foreach (var matrix in matrices)
+ {
+ Assert.AreEqual(typeof(LinearAlgebra.Complex.SparseMatrix), matrix.Value.GetType());
+ }
+
+ var a = matrices["sa"];
+
+ Assert.AreEqual(100, a.RowCount);
+ Assert.AreEqual(100, a.ColumnCount);
+ AssertHelpers.AlmostEqual(13.223654390985379, a.L2Norm(), 13);
+ }
+
+ ///
+ /// Can read non-complex matrices.
+ ///
+ [Test]
+ public void CanReadNonComplexAllMatrices()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/collection.mat");
+ var matrices = dmr.ReadMatrices();
+ Assert.AreEqual(30, matrices.Count);
+ foreach (var matrix in matrices)
+ {
+ Assert.AreEqual(typeof(LinearAlgebra.Complex.DenseMatrix), matrix.Value.GetType());
+ }
+ }
+
+ ///
+ /// Can read non-complex first matrix.
+ ///
+ [Test]
+ public void CanReadNonComplexFirstMatrix()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/A.mat");
+ var matrix = dmr.ReadMatrix();
+ Assert.AreEqual(100, matrix.RowCount);
+ Assert.AreEqual(100, matrix.ColumnCount);
+ Assert.AreEqual(typeof(LinearAlgebra.Complex.DenseMatrix), matrix.GetType());
+ AssertHelpers.AlmostEqual(100.108979553704, matrix.FrobeniusNorm(), 13);
+ }
+
+ ///
+ /// Can read non-complex named matrices.
+ ///
+ [Test]
+ public void CanReadNonComplexNamedMatrices()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/collection.mat");
+ var matrices = dmr.ReadMatrices(new[] { "Ad", "Au64" });
+ Assert.AreEqual(2, matrices.Count);
+ foreach (var matrix in matrices)
+ {
+ Assert.AreEqual(typeof(LinearAlgebra.Complex.DenseMatrix), matrix.Value.GetType());
+ }
+ }
+
+ ///
+ /// Can read non-complex named matrix.
+ ///
+ [Test]
+ public void CanReadNonComplexNamedMatrix()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/collection.mat");
+ var matrices = dmr.ReadMatrices(new[] { "Ad" });
+ Assert.AreEqual(1, matrices.Count);
+ var ad = matrices["Ad"];
+ Assert.AreEqual(100, ad.RowCount);
+ Assert.AreEqual(100, ad.ColumnCount);
+ AssertHelpers.AlmostEqual(100.431635988639, ad.FrobeniusNorm(), 13);
+ Assert.AreEqual(typeof(LinearAlgebra.Complex.DenseMatrix), ad.GetType());
+ }
+
+ ///
+ /// Can read non-complex named sparse matrix.
+ ///
+ [Test]
+ public void CanReadNonComplexNamedSparseMatrix()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/sparse-small.mat");
+ var matrix = dmr.ReadMatrix("S");
+ Assert.AreEqual(100, matrix.RowCount);
+ Assert.AreEqual(100, matrix.ColumnCount);
+ Assert.AreEqual(typeof(LinearAlgebra.Complex.SparseMatrix), matrix.GetType());
+ AssertHelpers.AlmostEqual(17.6385090630805, matrix.FrobeniusNorm(), 12);
+ }
+
+ ///
+ /// Can read all complex matrices.
+ ///
+ [Test]
+ public void CanReadComplex32AllMatrices()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/complex.mat");
+ var matrices = dmr.ReadMatrices();
+ Assert.AreEqual(3, matrices.Count);
+ foreach (var matrix in matrices)
+ {
+ Assert.AreEqual(typeof(LinearAlgebra.Complex32.DenseMatrix), matrix.Value.GetType());
+ }
+
+ var a = matrices["a"];
+
+ Assert.AreEqual(100, a.RowCount);
+ Assert.AreEqual(100, a.ColumnCount);
+ AssertHelpers.AlmostEqual(27.232498979698409, a.L2Norm(), 5);
+ }
+
+ ///
+ /// Can read sparse complex matrices.
+ ///
+ [Test]
+ public void CanReadSparseComplex32AllMatrices()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/sparse_complex.mat");
+ var matrices = dmr.ReadMatrices();
+ Assert.AreEqual(3, matrices.Count);
+ foreach (var matrix in matrices)
+ {
+ Assert.AreEqual(typeof(LinearAlgebra.Complex32.SparseMatrix), matrix.Value.GetType());
+ }
+
+ var a = matrices["sa"];
+
+ Assert.AreEqual(100, a.RowCount);
+ Assert.AreEqual(100, a.ColumnCount);
+ AssertHelpers.AlmostEqual(13.223654390985379, a.L2Norm(), 5);
+ }
+
+ ///
+ /// Can read non-complex matrices.
+ ///
+ [Test]
+ public void CanReadNonComplex32AllMatrices()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/collection.mat");
+ var matrices = dmr.ReadMatrices();
+ Assert.AreEqual(30, matrices.Count);
+ foreach (var matrix in matrices)
+ {
+ Assert.AreEqual(typeof(LinearAlgebra.Complex32.DenseMatrix), matrix.Value.GetType());
+ }
+ }
+
+ ///
+ /// Can read non-complex first matrix.
+ ///
+ [Test]
+ public void CanReadNonComplex32FirstMatrix()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/A.mat");
+ var matrix = dmr.ReadMatrix();
+ Assert.AreEqual(100, matrix.RowCount);
+ Assert.AreEqual(100, matrix.ColumnCount);
+ Assert.AreEqual(typeof(LinearAlgebra.Complex32.DenseMatrix), matrix.GetType());
+ AssertHelpers.AlmostEqual(100.108979553704, matrix.FrobeniusNorm(), 6);
+ }
+
+ ///
+ /// Can read non-complex named matrices.
+ ///
+ [Test]
+ public void CanReadNonComplex32NamedMatrices()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/collection.mat");
+ var matrices = dmr.ReadMatrices(new[] { "Ad", "Au64" });
+ Assert.AreEqual(2, matrices.Count);
+ foreach (var matrix in matrices)
+ {
+ Assert.AreEqual(typeof(LinearAlgebra.Complex32.DenseMatrix), matrix.Value.GetType());
+ }
+ }
+
+ ///
+ /// Can read non-complex named matrix.
+ ///
+ [Test]
+ public void CanReadNonComplex32NamedMatrix()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/collection.mat");
+ var matrices = dmr.ReadMatrices(new[] { "Ad" });
+ Assert.AreEqual(1, matrices.Count);
+ var ad = matrices["Ad"];
+ Assert.AreEqual(100, ad.RowCount);
+ Assert.AreEqual(100, ad.ColumnCount);
+ AssertHelpers.AlmostEqual(100.431635988639, ad.FrobeniusNorm(), 6);
+ Assert.AreEqual(typeof(LinearAlgebra.Complex32.DenseMatrix), ad.GetType());
+ }
+
+ ///
+ /// Can read non-complex named sparse matrix.
+ ///
+ [Test]
+ public void CanReadNonComplex32NamedSparseMatrix()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/sparse-small.mat");
+ var matrix = dmr.ReadMatrix("S");
+ Assert.AreEqual(100, matrix.RowCount);
+ Assert.AreEqual(100, matrix.ColumnCount);
+ Assert.AreEqual(typeof(LinearAlgebra.Complex32.SparseMatrix), matrix.GetType());
+ AssertHelpers.AlmostEqual(17.6385090630805, matrix.FrobeniusNorm(), 6);
+ }
+
+ ///
+ /// Can read all matrices.
+ ///
+ [Test]
+ public void CanReadFloatAllMatrices()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/collection.mat");
+ var matrices = dmr.ReadMatrices();
+ Assert.AreEqual(30, matrices.Count);
+ foreach (var matrix in matrices)
+ {
+ Assert.AreEqual(typeof(LinearAlgebra.Single.DenseMatrix), matrix.Value.GetType());
+ }
+ }
+
+ ///
+ /// Can read first matrix.
+ ///
+ [Test]
+ public void CanReadFloatFirstMatrix()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/A.mat");
+ var matrix = dmr.ReadMatrix();
+ Assert.AreEqual(100, matrix.RowCount);
+ Assert.AreEqual(100, matrix.ColumnCount);
+ Assert.AreEqual(typeof(LinearAlgebra.Single.DenseMatrix), matrix.GetType());
+ AssertHelpers.AlmostEqual(100.108979553704f, matrix.FrobeniusNorm(), 6);
+ }
+
+ ///
+ /// Can read named matrices.
+ ///
+ [Test]
+ public void CanReadFloatNamedMatrices()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/collection.mat");
+ var matrices = dmr.ReadMatrices(new[] { "Ad", "Au64" });
+ Assert.AreEqual(2, matrices.Count);
+ foreach (var matrix in matrices)
+ {
+ Assert.AreEqual(typeof(LinearAlgebra.Single.DenseMatrix), matrix.Value.GetType());
+ }
+ }
+
+ ///
+ /// Can read named matrix.
+ ///
+ [Test]
+ public void CanReadFloatNamedMatrix()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/collection.mat");
+ var matrices = dmr.ReadMatrices(new[] { "Ad" });
+ Assert.AreEqual(1, matrices.Count);
+ var ad = matrices["Ad"];
+ Assert.AreEqual(100, ad.RowCount);
+ Assert.AreEqual(100, ad.ColumnCount);
+ AssertHelpers.AlmostEqual(100.431635988639f, ad.FrobeniusNorm(), 6);
+ Assert.AreEqual(typeof(LinearAlgebra.Single.DenseMatrix), ad.GetType());
+ }
+
+ ///
+ /// Can read named sparse matrix.
+ ///
+ [Test]
+ public void CanReadFloatNamedSparseMatrix()
+ {
+ var dmr = new MatlabMatrixReader("./data/Matlab/sparse-small.mat");
+ var matrix = dmr.ReadMatrix("S");
+ Assert.AreEqual(100, matrix.RowCount);
+ Assert.AreEqual(100, matrix.ColumnCount);
+ Assert.AreEqual(typeof(LinearAlgebra.Single.SparseMatrix), matrix.GetType());
+ AssertHelpers.AlmostEqual(17.6385090630805f, matrix.FrobeniusNorm(), 6);
+ }
+ }
+}
diff --git a/src/DataUnitTests/Matlab/MatlabWriterTests.cs b/src/DataUnitTests/Matlab/MatlabWriterTests.cs
new file mode 100644
index 00000000..d910d101
--- /dev/null
+++ b/src/DataUnitTests/Matlab/MatlabWriterTests.cs
@@ -0,0 +1,327 @@
+//
+// 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) 2009-2010 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.
+//
+
+using System;
+using System.IO;
+using System.Numerics;
+using MathNet.Numerics.Data.Matlab;
+using NUnit.Framework;
+
+namespace MathNet.Numerics.Data.UnitTests.Matlab
+{
+ ///
+ /// Matlab matrix writer tests.
+ ///
+ [TestFixture]
+ public class MatlabMatrixWriterTests
+ {
+ ///
+ /// Invalid constructor throws ArgumentException.
+ ///
+ [Test]
+ public void InvalidConstructorThrowsArgumentException()
+ {
+ Assert.Throws(() => new MatlabMatrixWriter(string.Empty));
+ Assert.Throws(() => new MatlabMatrixWriter(null));
+ }
+
+ ///
+ /// Write bad matrices throws ArgumentException.
+ ///
+ [Test]
+ public void WriteBadMatricesThrowsArgumentException()
+ {
+ var matrix = new LinearAlgebra.Single.DenseMatrix(1, 1);
+ var writer = new MatlabMatrixWriter("somefile3");
+ Assert.Throws(() => writer.WriteMatrices(new[] { matrix }, new[] { string.Empty }));
+ Assert.Throws(() => writer.WriteMatrices(new[] { matrix }, new string[] { null }));
+ Assert.Throws(() => writer.WriteMatrices(new[] { matrix, matrix }, new[] { "matrix" }));
+ Assert.Throws