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stgsharp/源代码/StgSharp/Math/Linear/matrix2x4.cs
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129 lines
4.6 KiB
C#

using System;
using System.Runtime.InteropServices;
namespace StgSharp.Math
{
public class Matrix2x4
{
internal M128Map _map;
internal IntPtr _colum0Ptr;
internal IntPtr _colum1Ptr;
internal IntPtr _colum2Ptr;
internal IntPtr _colum3Ptr;
private bool _isTranposed;
private Matrix4x2 _transpose;
public Matrix2x4(
float a00, float a01, float a02, float a03,
float a10, float a11, float a12, float a13
)
{
_colum0Ptr = internalIO.load_internal(a00, a10, 0, 0);
_colum1Ptr = internalIO.load_internal(a01, a11, 0, 0);
_colum2Ptr = internalIO.load_internal(a02, a12, 0, 0);
_colum3Ptr = internalIO.load_internal(a03, a13, 0, 0);
_transpose = new Matrix4x2(this);
}
internal Matrix2x4(
IntPtr colum0Ptr,
IntPtr colum1Ptr,
IntPtr colum2Ptr,
IntPtr colum3Ptr
)
{
_colum0Ptr = colum0Ptr;
_colum1Ptr = colum1Ptr;
_colum2Ptr = colum2Ptr;
_colum3Ptr = colum3Ptr;
_transpose = new Matrix4x2(this);
}
public unsafe Matrix4x2 Transpose(TransposeMode transposeMode)
{
if (_isTranposed)
{
(*(M128*)_transpose._colum0Ptr).single_0 = (*(M128*)_colum0Ptr).single_0;
(*(M128*)_transpose._colum0Ptr).single_1 = (*(M128*)_colum1Ptr).single_0;
(*(M128*)_transpose._colum0Ptr).single_2 = (*(M128*)_colum2Ptr).single_0;
(*(M128*)_transpose._colum0Ptr).single_3 = (*(M128*)_colum3Ptr).single_0;
(*(M128*)_transpose._colum1Ptr).single_0 = (*(M128*)_colum0Ptr).single_1;
(*(M128*)_transpose._colum1Ptr).single_1 = (*(M128*)_colum1Ptr).single_1;
(*(M128*)_transpose._colum1Ptr).single_2 = (*(M128*)_colum2Ptr).single_1;
(*(M128*)_transpose._colum1Ptr).single_3 = (*(M128*)_colum3Ptr).single_1;
_isTranposed = true;
}
switch (transposeMode)
{
case TransposeMode.New:
return new Matrix4x2(
internalIO.load_cpy_internal(_transpose._colum0Ptr),
internalIO.load_cpy_internal(_transpose._colum1Ptr)
);
break;
case TransposeMode.Copy:
return _transpose;
break;
default:
throw new Exception();
break;
}
}
public static Matrix2x4 operator +(Matrix2x4 matrix1,Matrix2x4 matrix2)
{
return new Matrix2x4(
internalIO.addps_internal(matrix1._colum0Ptr, matrix2._colum0Ptr),
internalIO.addps_internal(matrix1._colum1Ptr, matrix2._colum1Ptr),
internalIO.addps_internal(matrix1._colum2Ptr, matrix2._colum2Ptr),
internalIO.addps_internal(matrix1._colum3Ptr, matrix2._colum3Ptr)
);
}
public static Matrix2x4 operator -(Matrix2x4 matrix1, Matrix2x4 matrix2)
{
return new Matrix2x4(
internalIO.subps_internal(matrix1._colum0Ptr, matrix2._colum0Ptr),
internalIO.subps_internal(matrix1._colum1Ptr, matrix2._colum1Ptr),
internalIO.subps_internal(matrix1._colum2Ptr, matrix2._colum2Ptr),
internalIO.subps_internal(matrix1._colum3Ptr, matrix2._colum3Ptr)
);
}
public static Matrix2x4 operator *(Matrix2x4 matrix, float value)
{
return new Matrix2x4(
internalIO.mulps_const_internal(matrix._colum0Ptr,value),
internalIO.mulps_const_internal(matrix._colum1Ptr,value),
internalIO.mulps_const_internal(matrix._colum2Ptr,value),
internalIO.mulps_const_internal(matrix._colum3Ptr,value)
);
}
public static Matrix2x4 operator /(Matrix2x4 matrix, float value)
{
return new Matrix2x4(
internalIO.divps_const_internal(matrix._colum0Ptr, value),
internalIO.divps_const_internal(matrix._colum1Ptr, value),
internalIO.divps_const_internal(matrix._colum2Ptr, value),
internalIO.divps_const_internal(matrix._colum3Ptr, value)
);
}
internal Matrix2x4(
Matrix4x2 transpose)
{
_transpose = transpose;
}
}
}