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Cleanups

dependabot/nuget/NUnit3TestAdapter-4.2.0
Christoph Ruegg 5 years ago
parent
a6cb427e38
commit
67e4c8e043
4 changed files with 40 additions and 61 deletions
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  1. 43
      src/Data.Matlab/Formatter.cs
  2. 46
      src/Data.Matlab/Parser.cs
  3. 4
      src/Data.Text/DelimitedWriter.cs
  4. 8
      src/Data.Text/MatrixMarketReader.cs

43
src/Data.Matlab/Formatter.cs
View File

@ -105,17 +105,17 @@ namespace MathNet.Numerics.Data.Matlab
{
if (matrix == null)
{
throw new ArgumentNullException("matrix");
throw new ArgumentNullException(nameof(matrix));
}
if (string.IsNullOrEmpty(name))
{
throw new ArgumentException("String parameter cannot be empty or null.", "name");
throw new ArgumentException("String parameter cannot be empty or null.", nameof(name));
}
if (name.IndexOf(' ') > -1)
{
throw new ArgumentException(string.Format("Name cannot contain a space.name: {0}", name), "name");
throw new ArgumentException($"Name cannot contain a space.name: {name}", nameof(name));
}
var dataType = typeof(T);
@ -167,7 +167,7 @@ namespace MathNet.Numerics.Data.Matlab
writer.Write((byte)(sparse ? ArrayClass.Sparse : doublePrecision ? ArrayClass.Double : ArrayClass.Single));
writer.Write((byte)(complex ? ArrayFlags.Complex : 0));
writer.Write((short)0);
writer.Write((int)sparseNonZeroValues);
writer.Write(sparseNonZeroValues);
// Dimensions Array tag: data type + size (8 bytes)
writer.Write((int)DataType.Int32);
@ -178,11 +178,10 @@ namespace MathNet.Numerics.Data.Matlab
writer.Write(matrix.ColumnCount);
// Array Name:
bool smallBlock;
var nameBytes = Encoding.ASCII.GetBytes(name);
WriteElementTag(writer, DataType.Int8, nameBytes.Length, out smallBlock);
WriteElementTag(writer, DataType.Int8, nameBytes.Length, out var isSmallBlock);
writer.Write(nameBytes);
PadElement(writer, nameBytes.Length, smallBlock);
PadElement(writer, nameBytes.Length, isSmallBlock);
if (sparse)
{
@ -203,9 +202,8 @@ namespace MathNet.Numerics.Data.Matlab
{
int count = matrix.RowCount*matrix.ColumnCount;
bool smallBlock;
int size = doublePrecision ? count*8 : count*4;
WriteElementTag(writer, doublePrecision ? DataType.Double : DataType.Single, size, out smallBlock);
WriteElementTag(writer, doublePrecision ? DataType.Double : DataType.Single, size, out var isSmallBlock);
var data = ((DenseColumnMajorMatrixStorage<T>)matrix.Storage).Data;
@ -219,14 +217,14 @@ namespace MathNet.Numerics.Data.Matlab
}
else if (doublePrecision)
{
WriteComplexArray(writer, (Complex[])(object)data, data.Length, size, ref smallBlock);
WriteComplexArray(writer, (Complex[])(object)data, data.Length, size, ref isSmallBlock);
}
else
{
WriteComplex32Array(writer, (Complex32[])(object)data, data.Length, size, ref smallBlock);
WriteComplex32Array(writer, (Complex32[])(object)data, data.Length, size, ref isSmallBlock);
}
PadElement(writer, size, smallBlock);
PadElement(writer, size, isSmallBlock);
}
static void WriteSparseMatrix<T>(BinaryWriter writer, Matrix<T> matrix, bool complex, bool doublePrecision)
@ -235,32 +233,31 @@ namespace MathNet.Numerics.Data.Matlab
var transposed = matrix.Transpose();
var storage = (SparseCompressedRowMatrixStorage<T>)transposed.Storage;
bool smallBlock;
int nzcount = storage.ValueCount;
// row data array
var ir = storage.ColumnIndices;
WriteElementTag(writer, DataType.Int32, nzcount*4, out smallBlock);
WriteElementTag(writer, DataType.Int32, nzcount*4, out var isSmallBlock);
for (var i = 0; i < nzcount; i++)
{
writer.Write(ir[i]);
}
PadElement(writer, nzcount*4, smallBlock);
PadElement(writer, nzcount*4, isSmallBlock);
// column data array
var jc = storage.RowPointers;
WriteElementTag(writer, DataType.Int32, jc.Length*4, out smallBlock);
WriteElementTag(writer, DataType.Int32, jc.Length*4, out isSmallBlock);
for (var i = 0; i < jc.Length; i++)
{
writer.Write(jc[i]);
}
PadElement(writer, jc.Length*4, smallBlock);
PadElement(writer, jc.Length*4, isSmallBlock);
// values
int size = doublePrecision ? nzcount*8 : nzcount*4;
WriteElementTag(writer, doublePrecision ? DataType.Double : DataType.Single, size, out smallBlock);
WriteElementTag(writer, doublePrecision ? DataType.Double : DataType.Single, size, out isSmallBlock);
if (doublePrecision && !complex)
{
@ -272,14 +269,14 @@ namespace MathNet.Numerics.Data.Matlab
}
else if (doublePrecision)
{
WriteComplexArray(writer, (Complex[])(object)storage.Values, nzcount, size, ref smallBlock);
WriteComplexArray(writer, (Complex[])(object)storage.Values, nzcount, size, ref isSmallBlock);
}
else
{
WriteComplex32Array(writer, (Complex32[])(object)storage.Values, nzcount, size, ref smallBlock);
WriteComplex32Array(writer, (Complex32[])(object)storage.Values, nzcount, size, ref isSmallBlock);
}
PadElement(writer, size, smallBlock);
PadElement(writer, size, isSmallBlock);
}
static void WriteDoubleArray(BinaryWriter writer, double[] data, int count)
@ -348,7 +345,7 @@ namespace MathNet.Numerics.Data.Matlab
}
}
static void PadElement(BinaryWriter writer, int size, bool smallBlock, byte padValue = (byte)0)
static void PadElement(BinaryWriter writer, int size, bool smallBlock, byte padValue = 0)
{
var blockSize = smallBlock ? SmallBlockSize : LargeBlockSize;
var offset = 0;
@ -364,7 +361,7 @@ namespace MathNet.Numerics.Data.Matlab
}
}
static void Pad(BinaryWriter writer, int count, byte padValue = (byte)0)
static void Pad(BinaryWriter writer, int count, byte padValue = 0)
{
for (var i = 0; i < count; i++)
{

46
src/Data.Matlab/Parser.cs
View File

@ -89,10 +89,7 @@ namespace MathNet.Numerics.Data.Matlab
// small format: size (2 bytes), type (2 bytes), data (4 bytes)
// long format: type (4 bytes), size (4 bytes), data (size, aligned to 8 bytes)
DataType type;
int size;
bool smallBlock;
ReadElementTag(reader, out type, out size, out smallBlock);
ReadElementTag(reader, out var type, out var size, out var isSmallBlock);
// read element data of the size provided in the element header
// uncompress if compressed
@ -105,7 +102,7 @@ namespace MathNet.Numerics.Data.Matlab
{
data = new byte[size];
reader.Read(data, 0, size);
SkipElementPadding(reader, size, smallBlock);
SkipElementPadding(reader, size, isSmallBlock);
}
if (type == DataType.Matrix)
@ -169,12 +166,9 @@ namespace MathNet.Numerics.Data.Matlab
var columns = reader.ReadInt32();
// Array name
DataType type;
int size;
bool smallBlock;
ReadElementTag(reader, out type, out size, out smallBlock);
ReadElementTag(reader, out _, out var size, out var isSmallBlock);
reader.BaseStream.Seek(size, SeekOrigin.Current);
SkipElementPadding(reader, size, smallBlock);
SkipElementPadding(reader, size, isSmallBlock);
// Data
switch (arrayClass)
@ -209,12 +203,8 @@ namespace MathNet.Numerics.Data.Matlab
var count = rows*columns;
var data = new T[count];
DataType type;
int size;
bool smallBlock;
// read real part array
ReadElementTag(reader, out type, out size, out smallBlock);
ReadElementTag(reader, out var type, out var size, out var isSmallBlock);
// direct copy if possible
if ((type == DataType.Double && dataType == typeof(double)) || (type == DataType.Single && dataType == typeof(float)))
@ -241,18 +231,18 @@ namespace MathNet.Numerics.Data.Matlab
}
else if (dataType == typeof(Complex))
{
PopulateComplexArray(reader, (Complex[])(object)data, complex, type, ref size, ref smallBlock);
PopulateComplexArray(reader, (Complex[])(object)data, complex, type, ref size, ref isSmallBlock);
}
else if (dataType == typeof(Complex32))
{
PopulateComplex32Array(reader, (Complex32[])(object)data, complex, type, ref size, ref smallBlock);
PopulateComplex32Array(reader, (Complex32[])(object)data, complex, type, ref size, ref isSmallBlock);
}
else
{
throw new NotSupportedException();
}
SkipElementPadding(reader, size, smallBlock);
SkipElementPadding(reader, size, isSmallBlock);
return Matrix<T>.Build.Dense(rows, columns, data);
}
@ -273,22 +263,18 @@ namespace MathNet.Numerics.Data.Matlab
// MATLAB sparse matrices are actually stored as CSC, so just read the data and then transpose.
var storage = matrix.Storage as SparseCompressedRowMatrixStorage<T>;
DataType type;
int size;
bool smallBlock;
// populate the row data array
ReadElementTag(reader, out type, out size, out smallBlock);
ReadElementTag(reader, out var type, out var size, out var isSmallBlock);
var ir = storage.ColumnIndices = new int[size/4];
for (var i = 0; i < ir.Length; i++)
{
ir[i] = reader.ReadInt32();
}
SkipElementPadding(reader, size, smallBlock);
SkipElementPadding(reader, size, isSmallBlock);
// populate the column data array
ReadElementTag(reader, out type, out size, out smallBlock);
ReadElementTag(reader, out type, out size, out isSmallBlock);
var jc = storage.RowPointers;
if (jc.Length != size/4)
{
@ -300,10 +286,10 @@ namespace MathNet.Numerics.Data.Matlab
jc[j] = reader.ReadInt32();
}
SkipElementPadding(reader, size, smallBlock);
SkipElementPadding(reader, size, isSmallBlock);
// populate the values
ReadElementTag(reader, out type, out size, out smallBlock);
ReadElementTag(reader, out type, out size, out isSmallBlock);
var dataType = typeof(T);
var data = storage.Values = new T[jc[columns]];
@ -327,18 +313,18 @@ namespace MathNet.Numerics.Data.Matlab
}
else if (dataType == typeof(Complex))
{
PopulateComplexArray(reader, (Complex[])(object)data, complex, type, ref size, ref smallBlock);
PopulateComplexArray(reader, (Complex[])(object)data, complex, type, ref size, ref isSmallBlock);
}
else if (dataType == typeof(Complex32))
{
PopulateComplex32Array(reader, (Complex32[])(object)data, complex, type, ref size, ref smallBlock);
PopulateComplex32Array(reader, (Complex32[])(object)data, complex, type, ref size, ref isSmallBlock);
}
else
{
throw new NotSupportedException();
}
SkipElementPadding(reader, size, smallBlock);
SkipElementPadding(reader, size, isSmallBlock);
return matrix.Transpose();
}

4
src/Data.Text/DelimitedWriter.cs
View File

@ -59,12 +59,12 @@ namespace MathNet.Numerics.Data.Text
{
if (matrix == null)
{
throw new ArgumentNullException("matrix");
throw new ArgumentNullException(nameof(matrix));
}
if (writer == null)
{
throw new ArgumentNullException("writer");
throw new ArgumentNullException(nameof(writer));
}
if (columnHeaders != null && columnHeaders.Count > 0)

8
src/Data.Text/MatrixMarketReader.cs
View File

@ -123,9 +123,7 @@ namespace MathNet.Numerics.Data.Text
public static Matrix<T> ReadMatrix<T>(TextReader reader) where T : struct, IEquatable<T>, IFormattable
{
bool complex, sparse;
MatrixMarketSymmetry symmetry;
ExpectHeader(reader, true, out complex, out sparse, out symmetry);
ExpectHeader(reader, true, out var complex, out var sparse, out var symmetry);
var parse = CreateValueParser<T>(complex);
@ -200,9 +198,7 @@ namespace MathNet.Numerics.Data.Text
public static Vector<T> ReadVector<T>(TextReader reader)
where T : struct, IEquatable<T>, IFormattable
{
bool complex, sparse;
MatrixMarketSymmetry symmetry;
ExpectHeader(reader, false, out complex, out sparse, out symmetry);
ExpectHeader(reader, false, out var complex, out var sparse, out _);
var parse = CreateValueParser<T>(complex);

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