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Support complex numerical arrays

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This commit is contained in:
Alexander Luzgarev 2019-03-10 12:35:02 +01:00
parent beae9e4429
commit b0ae15abc9
4 changed files with 104 additions and 0 deletions
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72
MatFileHandler.Tests/MatFileReaderHdfTests.cs
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@ -1,5 +1,6 @@
using NUnit.Framework;
using System.IO;
using System.Numerics;
namespace MatFileHandler.Tests
{
@ -68,6 +69,32 @@ namespace MatFileHandler.Tests
Assert.That(matrix[2, 1], Is.EqualTo(6.0));
}
/// <summary>
/// Test reading a two-dimensional complex array.
/// </summary>
[Test]
public void TestComplexMatrix()
{
var matFile = ReadHdfTestFile("matrix_complex");
var matrix = matFile["matrix"].Value as IArrayOf<Complex>;
Assert.That(matrix.Dimensions, Is.EqualTo(new[] { 3, 2 }));
Assert.That(matrix.ConvertToComplexArray(), Is.EqualTo(new[]
{
new Complex(1.0, 4.0),
new Complex(3.0, 1.0),
new Complex(5.0, 0.25),
new Complex(2.0, 2.0),
new Complex(4.0, 0.5),
new Complex(6.0, 0.125),
}));
Assert.That(matrix[0, 0], Is.EqualTo(new Complex(1.0, 4.0)));
Assert.That(matrix[0, 1], Is.EqualTo(new Complex(2.0, 2.0)));
Assert.That(matrix[1, 0], Is.EqualTo(new Complex(3.0, 1.0)));
Assert.That(matrix[1, 1], Is.EqualTo(new Complex(4.0, 0.5)));
Assert.That(matrix[2, 0], Is.EqualTo(new Complex(5.0, 0.25)));
Assert.That(matrix[2, 1], Is.EqualTo(new Complex(6.0, 0.125)));
}
/// <summary>
/// Test reading lower and upper limits of integer data types.
/// </summary>
@ -102,6 +129,51 @@ namespace MatFileHandler.Tests
CheckLimits(array as IArrayOf<ulong>, CommonData.UInt64Limits);
}
/// <summary>
/// Test writing lower and upper limits of integer-based complex data types.
/// </summary>
[Test]
public void TestComplexLimits()
{
var matFile = ReadHdfTestFile("limits_complex");
IArray array;
array = matFile["int8_complex"].Value;
CheckComplexLimits(array as IArrayOf<ComplexOf<sbyte>>, CommonData.Int8Limits);
Assert.That(
array.ConvertToComplexArray(),
Is.EqualTo(new[] { -128.0 + (127.0 * Complex.ImaginaryOne), 127.0 - (128.0 * Complex.ImaginaryOne) }));
array = matFile["uint8_complex"].Value;
CheckComplexLimits(array as IArrayOf<ComplexOf<byte>>, CommonData.UInt8Limits);
array = matFile["int16_complex"].Value;
CheckComplexLimits(array as IArrayOf<ComplexOf<short>>, CommonData.Int16Limits);
array = matFile["uint16_complex"].Value;
CheckComplexLimits(array as IArrayOf<ComplexOf<ushort>>, CommonData.UInt16Limits);
array = matFile["int32_complex"].Value;
CheckComplexLimits(array as IArrayOf<ComplexOf<int>>, CommonData.Int32Limits);
array = matFile["uint32_complex"].Value;
CheckComplexLimits(array as IArrayOf<ComplexOf<uint>>, CommonData.UInt32Limits);
array = matFile["int64_complex"].Value;
CheckComplexLimits(array as IArrayOf<ComplexOf<long>>, CommonData.Int64Limits);
array = matFile["uint64_complex"].Value;
CheckComplexLimits(array as IArrayOf<ComplexOf<ulong>>, CommonData.UInt64Limits);
}
private static void CheckComplexLimits<T>(IArrayOf<ComplexOf<T>> array, T[] limits)
where T : struct
{
Assert.That(array, Is.Not.Null);
Assert.That(array.Dimensions, Is.EqualTo(new[] { 1, 2 }));
Assert.That(array[0], Is.EqualTo(new ComplexOf<T>(limits[0], limits[1])));
Assert.That(array[1], Is.EqualTo(new ComplexOf<T>(limits[1], limits[0])));
}
private static void CheckLimits<T>(IArrayOf<T> array, T[] limits)
where T : struct
{

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MatFileHandler.Tests/test-data/hdf/limits_complex.mat Normal file
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MatFileHandler.Tests/test-data/hdf/matrix_complex.mat Normal file
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32
MatFileHandler/HdfFileReader.cs
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@ -393,6 +393,38 @@ namespace MatFileHandler
var numberOfElements = dims.NumberOfElements();
var dataSize = numberOfElements * SizeOfArrayElement(arrayType);
var storageSize = (int)H5D.get_storage_size(datasetId);
var dataSetType = H5D.get_type(datasetId);
var dataSetTypeClass = H5T.get_class(dataSetType);
var isCompound = dataSetTypeClass == H5T.class_t.COMPOUND;
if (isCompound)
{
var h5Type = H5tTypeFromArrayType(arrayType);
var h5Size = H5T.get_size(h5Type);
var h5tComplexReal = H5T.create(H5T.class_t.COMPOUND, h5Size);
H5T.insert(h5tComplexReal, "real", IntPtr.Zero, h5Type);
var realData = ReadDataset(datasetId, h5tComplexReal, dataSize);
var convertedRealData = ConvertDataToProperType<T>(realData, arrayType);
var h5tComplexImaginary = H5T.create(H5T.class_t.COMPOUND, h5Size);
H5T.insert(h5tComplexImaginary, "imag", IntPtr.Zero, h5Type);
var imaginaryData = ReadDataset(datasetId, h5tComplexImaginary, dataSize);
var convertedImaginaryData = ConvertDataToProperType<T>(imaginaryData, arrayType);
if (arrayType == ArrayType.MxDouble)
{
var complexData =
(convertedRealData as double[])
.Zip(convertedImaginaryData as double[], (x, y) => new Complex(x, y))
.ToArray();
return new HdfNumericalArrayOf<Complex>(dims, complexData);
}
else
{
var complexData =
convertedRealData
.Zip(convertedImaginaryData, (x, y) => new ComplexOf<T>(x, y))
.ToArray();
return new HdfNumericalArrayOf<ComplexOf<T>>(dims, complexData);
}
}
if (dataSize != storageSize)
{
throw new Exception("Data size mismatch.");