//-----------------------------------------------------------------------
// -----------------------------------------------------------------------
// file="MatrixCompute.Basic"
// Project: StgSharp
// AuthorGroup: Nitload
// Copyright (c) Nitload. All rights reserved.
//     
// 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
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//
// The above copyright notice and this permission notice shall be included in all
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// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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// -----------------------------------------------------------------------
// -----------------------------------------------------------------------
using StgSharp.Collections;
using StgSharp.HighPerformance;
using StgSharp.Internal;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Numerics;
using System.Security.AccessControl;
using System.Text;
using System.Threading.Tasks;

namespace StgSharp.Mathematics.Numeric
{
    public static class MatrixCompute
    {

        public static unsafe Matrix<float> Add(this Matrix<float> left, Matrix<float> right)
        {
            if (left.ColumnLength != right.ColumnLength || left.RowLength != right.RowLength) {
                throw new IndexOutOfRangeException("Matrix dimensions must agree.");
            }
            long count = (long)left.KernelColumnLength * left.KernelRowLength;
            Matrix<float> ans = Matrix<float>.FromDefault(left.ColumnLength, left.RowLength);
            if (count <= 256)
            {
                MatrixKernel<float>* leftPtr = left.Buffer;
                MatrixKernel<float>* rightPtr = right.Buffer;
                MatrixKernel<float>* ansPtr = ans.Buffer;
                NativeIntrinsic.Intrinsic.f32_add(leftPtr, rightPtr, ansPtr, count);

                return ans;
            } else if (count <= 1024)
            {
                MatrixParallelThread[] pool = MatrixParallel.LeadParallel(1);

                MatrixKernel<float>* leftPtr = left.Buffer;
                MatrixKernel<float>* rightPtr = right.Buffer;
                MatrixKernel<float>* ansPtr = ans.Buffer;
                NativeIntrinsic.Intrinsic.f32_add(leftPtr, rightPtr, ansPtr, count);

                MatrixParallel.ReturnParallelResources(ref pool);
                return ans;
            }
            MatrixParallelHandle taskGroup = /**/ default
                /*
                MatrixParallel.PublicTask(left.GetColumnEnumeration(),
                                                                       right.GetColumnEnumeration(),
                                                                       ans.GetColumnEnumeration(),
                                                                       (delegate*<MatrixKernel<float>*, MatrixKernel<float>*, MatrixKernel<float>*, void>)NativeIntrinsic.Intrinsic.f32_add)
                /**/
                ;
            MatrixParallel.LaunchParallel(taskGroup, SleepMode.DeepSleep);
            /*
             * run parallel
             */
            taskGroup.Dispose();
            return ans;
        }

        public static unsafe void Fill<T>(this Matrix<float> right, T value) where T : unmanaged, INumber<T>
        {
            long count = (long)right.KernelColumnLength * right.KernelRowLength;
            ScalarPacket* scaler = MatrixParallelFactory.CreateScalarPacket();
            scaler->Data<T>(0) = value;
            if (count <= 256)
            {
                NativeIntrinsic.Intrinsic.f32_fill(right.Buffer, scaler, count);
                return;
            } else if (count <= 1024)
            {
                MatrixParallelThread[] pool = MatrixParallel.LeadParallel(1);

                NativeIntrinsic.Intrinsic.f32_fill(right.Buffer, scaler, count);

                MatrixParallel.ReturnParallelResources(ref pool);
                return;
            }
            MatrixParallelHandle taskGroup =/**/ default
                /*MatrixParallel.PublicNoAnswerTask(left.GetColumnEnumeration(), scaler,
                (delegate* unmanaged[Cdecl]<MatrixKernel<float>*, ScalarPacket*, void>)NativeIntrinsic.Intrinsic.f32_add)
                /**/;
            MatrixParallel.LaunchParallel(taskGroup, SleepMode.DeepSleep);
            /*
             * run parallel
             */
            MatrixParallelFactory.Release(scaler);
            taskGroup.Dispose();
        }

    }
}