175 lines
6.4 KiB
C#
175 lines
6.4 KiB
C#
//-----------------------------------------------------------------------
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//-----------------------------------------------------------------------
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// file="Matrix22.cs"
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// Project: StgSharp
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// AuthorGroup: Nitload Space
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// Copyright (c) Nitload Space. All rights reserved.
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//
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// Permission is hereby granted, free of charge, to any person
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// obtaining a copy of this software and associated documentation
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// files (the “Software”), to deal in the Software without restriction,
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// including without limitation the rights to use, copy, modify, merge,
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// publish, distribute, sublicense, and/or sell copies of the Software,
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// and to permit persons to whom the Software is furnished to do so,
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// subject to the following conditions:
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//
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// The above copyright notice and
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// this permission notice shall be included in all copies
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// or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED “AS IS”,
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// WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
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// INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
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// IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
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// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
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// ARISING FROM, OUT OF OR IN CONNECTION WITH
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// THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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//
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//-----------------------------------------------------------------------
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//-----------------------------------------------------------------------
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using StgSharp.Data.Intrinsic;
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using System.Numerics;
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using System.Runtime.CompilerServices;
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using System.Runtime.InteropServices;
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namespace StgSharp.Math
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{
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[StructLayout(
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LayoutKind.Explicit,
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Size = ( 2 * 2 * 4 * sizeof( float ) ) + sizeof( bool ),
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Pack = 16 )]
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public struct Matrix22 : IMat
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{
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[FieldOffset( 2 * 2 * 4 * sizeof( float ) )]
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internal bool isTransposed;
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[FieldOffset( 0 )]
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internal ColumnSet2 mat;
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[FieldOffset( 2 * 4 * sizeof( float ) )]
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internal ColumnSet2 transpose;
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internal Matrix22( ColumnSet2 mat )
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{
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this.mat = mat;
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}
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internal Matrix22( Vector4 c0, Vector4 c1 )
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{
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mat.colum0 = c0;
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mat.colum1 = c1;
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}
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public Matrix22( float a00, float a01, float a10, float a11 )
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{
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mat.colum0 = new Vector4( a00, a10, 0, 0 );
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mat.colum1 = new Vector4( a01, a11, 0, 0 );
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}
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public Matrix22 Transpose
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{
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get
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{
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InternalTranspose();
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return new Matrix22( this.transpose );
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}
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}
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[MethodImpl( MethodImplOptions.AggressiveInlining )]
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public float Det()
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{
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return ( mat.m00 * mat.m11 ) - ( mat.m10 * mat.m01 );
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}
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[MethodImpl( MethodImplOptions.AggressiveInlining )]
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internal void InternalTranspose()
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{
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if( !isTransposed ) {
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transpose = mat;
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float cache = transpose.m10;
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transpose.m10 = transpose.m01;
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transpose.m01 = cache;
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isTransposed = true;
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}
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}
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[MethodImpl( MethodImplOptions.AggressiveInlining )]
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public static Matrix22 operator -( Matrix22 left, Matrix22 right )
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{
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return new Matrix22(
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left.mat.colum0 + right.mat.colum0,
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left.mat.colum1 + right.mat.colum1 );
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}
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[MethodImpl( MethodImplOptions.AggressiveInlining )]
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public static Matrix22 operator *( Matrix22 mat, float value )
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{
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return new Matrix22(
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mat.mat.colum0 * value, mat.mat.colum1 * value );
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}
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[MethodImpl( MethodImplOptions.AggressiveInlining )]
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public static Matrix22 operator *( Matrix22 left, Matrix22 right )
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{
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left.InternalTranspose();
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return new Matrix22(
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Vector4.Dot( left.transpose.colum0, right.mat.colum0 ),
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Vector4.Dot( left.transpose.colum0, right.mat.colum1 ),
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Vector4.Dot( left.transpose.colum1, right.mat.colum0 ),
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Vector4.Dot( left.transpose.colum1, right.mat.colum1 ) );
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}
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[MethodImpl( MethodImplOptions.AggressiveInlining )]
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public static Matrix23 operator *( Matrix22 left, Matrix23 right )
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{
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left.InternalTranspose();
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return new Matrix23(
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Vector4.Dot( left.transpose.colum0, right.mat.colum0 ),
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Vector4.Dot( left.transpose.colum0, right.mat.colum1 ),
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Vector4.Dot( left.transpose.colum0, right.mat.colum2 ),
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Vector4.Dot( left.transpose.colum1, right.mat.colum0 ),
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Vector4.Dot( left.transpose.colum1, right.mat.colum1 ),
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Vector4.Dot( left.transpose.colum1, right.mat.colum2 ) );
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}
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[MethodImpl( MethodImplOptions.AggressiveInlining )]
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public static Matrix24 operator *( Matrix22 left, Matrix24 right )
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{
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left.InternalTranspose();
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return new Matrix24(
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Vector4.Dot( left.transpose.colum0, right.mat.colum0 ),
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Vector4.Dot( left.transpose.colum0, right.mat.colum1 ),
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Vector4.Dot( left.transpose.colum0, right.mat.colum2 ),
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Vector4.Dot( left.transpose.colum0, right.mat.colum3 ),
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Vector4.Dot( left.transpose.colum1, right.mat.colum0 ),
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Vector4.Dot( left.transpose.colum1, right.mat.colum1 ),
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Vector4.Dot( left.transpose.colum1, right.mat.colum2 ),
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Vector4.Dot( left.transpose.colum1, right.mat.colum3 ) );
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}
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[MethodImpl( MethodImplOptions.AggressiveInlining )]
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public static Matrix22 operator /( Matrix22 mat, float value )
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{
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return new Matrix22(
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mat.mat.colum0 / value, mat.mat.colum1 / value );
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}
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[MethodImpl( MethodImplOptions.AggressiveInlining )]
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public static unsafe Matrix22 operator +(
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Matrix22 left,
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Matrix22 right )
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{
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return new Matrix22(
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left.mat.colum0 + right.mat.colum0,
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left.mat.colum1 + right.mat.colum1 );
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}
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}
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}
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