/*******************************************************************************
 * texture.cpp
 *
 * This module implements texturing functions such as noise, turbulence and
 * texture transformation functions. The actual texture routines are in the
 * files pigment.c & normal.c.
 * The noise function used here is the one described by Ken Perlin in
 * "Hypertexture", SIGGRAPH '89 Conference Proceedings page 253.
 *
 * ---------------------------------------------------------------------------
 * Persistence of Vision Ray Tracer ('POV-Ray') version 3.7.
 * Copyright 1991-2013 Persistence of Vision Raytracer Pty. Ltd.
 *
 * POV-Ray is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Affero General Public License as
 * published by the Free Software Foundation, either version 3 of the
 * License, or (at your option) any later version.
 *
 * POV-Ray is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU Affero General Public License for more details.
 *
 * You should have received a copy of the GNU Affero General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 * ---------------------------------------------------------------------------
 * POV-Ray is based on the popular DKB raytracer version 2.12.
 * DKBTrace was originally written by David K. Buck.
 * DKBTrace Ver 2.0-2.12 were written by David K. Buck & Aaron A. Collins.
 * ---------------------------------------------------------------------------
 * $File: //depot/public/povray/3.x/source/backend/texture/texture.cpp $
 * $Revision: #1 $
 * $Change: 6069 $
 * $DateTime: 2013/11/06 11:59:40 $
 * $Author: chrisc $
 *******************************************************************************/

/*
   Some texture ideas garnered from SIGGRAPH '85 Volume 19 Number 3,
   "An Image Synthesizer" By Ken Perlin.
   Further Ideas Garnered from "The RenderMan Companion" (Addison Wesley)
*/

// frame.h must always be the first POV file included (pulls in platform config)
#include "backend/frame.h"
#include "backend/texture/texture.h"
#include "backend/texture/pigment.h"
#include "backend/texture/normal.h"
#include "backend/support/imageutil.h"
#include "backend/math/vector.h"
#include "base/pov_err.h"

#if defined(USE_AVX_FMA4_FOR_NOISE)
	#include "avxfma4check.h"
#endif

#include <algorithm>

// this must be the last file included
#include "base/povdebug.h"

namespace pov
{

// TODO FIXME GLOBAL VARIABLE
static unsigned int next_rand = 1;

/*****************************************************************************
* Static functions
******************************************************************************/

static void InitTextureTable (void);
static TEXTURE *Copy_Materials (TEXTURE *Old);
static void InitSolidNoise(void);
static DBL SolidNoise(const VECTOR P);

/*****************************************************************************
* Local preprocessor defines
******************************************************************************/

/* Ridiculously large scaling values */

const int MINX = -10000;
const int MINY = MINX;
const int MINZ = MINX;

const int SINTABSIZE = 1000;

#define SCURVE(a) ((a)*(a)*(3.0-2.0*(a)))

// Hash2d assumed values in the range 0..8191
#define Hash2d(a,b)   \
	hashTable[(int)(hashTable[(int)(a)] ^ (b))]

// Hash1dRTableIndex assumed values in the range 0..8191
#define Hash1dRTableIndex(a,b)   \
	((hashTable[(int)(a) ^ (b)] & 0xFF) * 2)

#define INCRSUM(m,s,x,y,z)  \
	((s)*(RTable[m+1] + RTable[m+2]*(x) + RTable[m+4]*(y) + RTable[m+6]*(z)))

#define INCRSUMP(mp,s,x,y,z) \
	((s)*((mp[1]) + (mp[2])*(x) + (mp[4])*(y) + (mp[6])*(z)))


/*****************************************************************************
* Local typedefs
******************************************************************************/



/*****************************************************************************
* Local variables
******************************************************************************/

static DBL *sintab; // GLOBAL VARIABLE

#ifdef DYNAMIC_HASHTABLE
unsigned short *hashTable; // GLOBAL VARIABLE
#else
ALIGN16 unsigned short hashTable[8192]; // GLOBAL VARIABLE
#endif

/*****************************************************************************
* Local variables
******************************************************************************/

ALIGN16 DBL RTable[267*2] =
{
	        -1, 0.0,    0.604974, 0.0,   -0.937102, 0.0,    0.414115, 0.0,    0.576226, 0.0,  -0.0161593, 0.0,
	  0.432334, 0.0,    0.103685, 0.0,    0.590539, 0.0,   0.0286412, 0.0,     0.46981, 0.0,    -0.84622, 0.0,
	-0.0734112, 0.0,   -0.304097, 0.0,    -0.40206, 0.0,   -0.210132, 0.0,   -0.919127, 0.0,    0.652033, 0.0,
	  -0.83151, 0.0,   -0.183948, 0.0,   -0.671107, 0.0,    0.852476, 0.0,    0.043595, 0.0,   -0.404532, 0.0,
	   0.75494, 0.0,   -0.335653, 0.0,    0.618433, 0.0,    0.605707, 0.0,    0.708583, 0.0,   -0.477195, 0.0,
	  0.899474, 0.0,    0.490623, 0.0,    0.221729, 0.0,   -0.400381, 0.0,   -0.853727, 0.0,   -0.932586, 0.0,
	  0.659113, 0.0,    0.961303, 0.0,    0.325948, 0.0,   -0.750851, 0.0,    0.842466, 0.0,    0.734401, 0.0,
	 -0.649866, 0.0,    0.394491, 0.0,   -0.466056, 0.0,   -0.434073, 0.0,    0.109026, 0.0,   0.0847028, 0.0,
	 -0.738857, 0.0,    0.241505, 0.0,     0.16228, 0.0,    -0.71426, 0.0,   -0.883665, 0.0,   -0.150408, 0.0,
	  -0.90396, 0.0,   -0.686549, 0.0,   -0.785214, 0.0,    0.488548, 0.0,   0.0246433, 0.0,    0.142473, 0.0,
	 -0.602136, 0.0,    0.375845, 0.0, -0.00779736, 0.0,    0.498955, 0.0,   -0.268147, 0.0,    0.856382, 0.0,
	 -0.386007, 0.0,   -0.596094, 0.0,   -0.867735, 0.0,   -0.570977, 0.0,   -0.914366, 0.0,     0.28896, 0.0,
	  0.672206, 0.0,   -0.233783, 0.0,     0.94815, 0.0,    0.895262, 0.0,    0.343252, 0.0,   -0.173388, 0.0,
	 -0.767971, 0.0,   -0.314748, 0.0,    0.824308, 0.0,   -0.342092, 0.0,    0.721431, 0.0,    -0.24004, 0.0,
	  -0.63653, 0.0,    0.553277, 0.0,    0.376272, 0.0,    0.158984, 0.0,   -0.452659, 0.0,    0.396323, 0.0,
	 -0.420676, 0.0,   -0.454154, 0.0,    0.122179, 0.0,    0.295857, 0.0,   0.0664225, 0.0,   -0.202075, 0.0,
	 -0.724788, 0.0,    0.453513, 0.0,    0.224567, 0.0,   -0.908812, 0.0,    0.176349, 0.0,   -0.320516, 0.0,
	 -0.697139, 0.0,    0.742702, 0.0,   -0.900786, 0.0,    0.471489, 0.0,   -0.133532, 0.0,    0.119127, 0.0,
	 -0.889769, 0.0,    -0.23183, 0.0,   -0.669673, 0.0,   -0.046891, 0.0,   -0.803433, 0.0,   -0.966735, 0.0,
	  0.475578, 0.0,   -0.652644, 0.0,   0.0112459, 0.0,   -0.730007, 0.0,    0.128283, 0.0,    0.145647, 0.0,
	 -0.619318, 0.0,    0.272023, 0.0,    0.392966, 0.0,    0.646418, 0.0,  -0.0207675, 0.0,   -0.315908, 0.0,
	  0.480797, 0.0,    0.535668, 0.0,   -0.250172, 0.0,    -0.83093, 0.0,   -0.653773, 0.0,   -0.443809, 0.0,
	  0.119982, 0.0,   -0.897642, 0.0,     0.89453, 0.0,    0.165789, 0.0,    0.633875, 0.0,   -0.886839, 0.0,
	  0.930877, 0.0,   -0.537194, 0.0,    0.587732, 0.0,    0.722011, 0.0,   -0.209461, 0.0,  -0.0424659, 0.0,
	 -0.814267, 0.0,   -0.919432, 0.0,    0.280262, 0.0,    -0.66302, 0.0,   -0.558099, 0.0,   -0.537469, 0.0,
	 -0.598779, 0.0,    0.929656, 0.0,   -0.170794, 0.0,   -0.537163, 0.0,    0.312581, 0.0,    0.959442, 0.0,
	  0.722652, 0.0,    0.499931, 0.0,    0.175616, 0.0,   -0.534874, 0.0,   -0.685115, 0.0,    0.444999, 0.0,
	   0.17171, 0.0,    0.108202, 0.0,   -0.768704, 0.0,   -0.463828, 0.0,    0.254231, 0.0,    0.546014, 0.0,
	  0.869474, 0.0,    0.875212, 0.0,   -0.944427, 0.0,    0.130724, 0.0,   -0.110185, 0.0,    0.312184, 0.0,
	  -0.33138, 0.0,   -0.629206, 0.0,   0.0606546, 0.0,    0.722866, 0.0,  -0.0979477, 0.0,    0.821561, 0.0,
	 0.0931258, 0.0,   -0.972808, 0.0,   0.0318151, 0.0,   -0.867033, 0.0,   -0.387228, 0.0,    0.280995, 0.0,
	 -0.218189, 0.0,   -0.539178, 0.0,   -0.427359, 0.0,   -0.602075, 0.0,    0.311971, 0.0,    0.277974, 0.0,
	  0.773159, 0.0,    0.592493, 0.0,  -0.0331884, 0.0,   -0.630854, 0.0,   -0.269947, 0.0,    0.339132, 0.0,
	  0.581079, 0.0,    0.209461, 0.0,   -0.317433, 0.0,   -0.284993, 0.0,    0.181323, 0.0,    0.341634, 0.0,
	  0.804959, 0.0,   -0.229572, 0.0,   -0.758907, 0.0,   -0.336721, 0.0,    0.605463, 0.0,   -0.991272, 0.0,
	-0.0188754, 0.0,   -0.300191, 0.0,    0.368307, 0.0,   -0.176135, 0.0,     -0.3832, 0.0,   -0.749569, 0.0,
	   0.62356, 0.0,   -0.573938, 0.0,    0.278309, 0.0,   -0.971313, 0.0,    0.839994, 0.0,   -0.830686, 0.0,
	  0.439078, 0.0,     0.66128, 0.0,    0.694514, 0.0,   0.0565042, 0.0,     0.54342, 0.0,   -0.438804, 0.0,
	-0.0228428, 0.0,   -0.687068, 0.0,    0.857267, 0.0,    0.301991, 0.0,   -0.494255, 0.0,   -0.941039, 0.0,
	  0.775509, 0.0,    0.410575, 0.0,   -0.362081, 0.0,   -0.671534, 0.0,   -0.348379, 0.0,    0.932433, 0.0,
	  0.886442, 0.0,    0.868681, 0.0,   -0.225666, 0.0,   -0.062211, 0.0,  -0.0976425, 0.0,   -0.641444, 0.0,
	 -0.848112, 0.0,    0.724697, 0.0,    0.473503, 0.0,    0.998749, 0.0,    0.174701, 0.0,    0.559625, 0.0,
	 -0.029099, 0.0,   -0.337392, 0.0,   -0.958129, 0.0,   -0.659785, 0.0,    0.236042, 0.0,   -0.246937, 0.0,
	  0.659449, 0.0,   -0.027512, 0.0,    0.821897, 0.0,   -0.226215, 0.0,   0.0181735, 0.0,    0.500481, 0.0,
	 -0.420127, 0.0,   -0.427878, 0.0,    0.566186, 0.0
};

/*****************************************************************************/
/* Platform specific faster noise functions support                          */
/* (Profiling revealed that the noise functions can take up to 50% of        */
/*  all the time required when rendering and current compilers cannot        */
/*  easily optimise them efficiently without some help from programmers!)    */
/*****************************************************************************/

#if USE_FASTER_NOISE
}
#include "fasternoise.h"
namespace pov
{
	#ifndef FASTER_NOISE_INIT
		#define FASTER_NOISE_INIT()
	#endif
#else
#if !defined(USE_AVX_FMA4_FOR_NOISE)
	#define OriNoise Noise
	#define OriDNoise DNoise
#endif

	#define FASTER_NOISE_INIT()
#endif

/*****************************************************************************
*
* FUNCTION
*
*   Initialize_Noise()
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/

void Initialize_Noise()
{
#if defined(USE_AVX_FMA4_FOR_NOISE)
	Initialise_NoiseDispatch();
#endif
	InitTextureTable();

	/* are - initialize Perlin style noise function */
	InitSolidNoise();

	sintab = reinterpret_cast<DBL *>(POV_MALLOC(SINTABSIZE * sizeof(DBL), "sine table"));

	for(int i = 0 ; i < 267 ; i++)
		RTable[(i * 2) + 1] = RTable[i * 2] * 0.5;
	//    Debug_Info("%.10f  %.10f\n", (DBL)(RTable[i * 2] - (DBL)((float)(RTable[i * 2]))), (DBL)(RTable[(i * 2) + 1] - (DBL)((float)(RTable[(i * 2) + 1]))));

	for(int i = 0 ; i < SINTABSIZE ; i++)
		sintab[i] = sin((DBL)i / SINTABSIZE * TWO_M_PI);
}

void Initialize_Waves(vector<double>& waveFrequencies, vector<Vector3d>& waveSources, unsigned int numberOfWaves)
{
	Vector3d point;

	waveFrequencies.clear();
	waveSources.clear();

	for(int i = 0, next_rand = -560851967; i < numberOfWaves ; i++)
	{
		point = Vector3d((double)i,0.0,0.0);
		DNoise(*point, *point);
		waveSources.push_back(point.normalized());

		next_rand = next_rand * 1812433253L + 12345L;
		waveFrequencies.push_back((double((int)(next_rand >> 16) & 0x7FFF) * 0.000030518509476) + 0.01);
	}
}



/*****************************************************************************
*
* FUNCTION
*
*   InitTextureTable()
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/

static void InitTextureTable()
{
	unsigned short j, temp;
	int i;
	int next_rand = 0;

	#ifdef DYNAMIC_HASHTABLE
		hashTable = reinterpret_cast<unsigned short *>(POV_MALLOC(8192*sizeof(unsigned short), "hash table"));
	#endif

	for(i = 0; i < 4096; i++)
		hashTable[i] = i;

	for(i = 4095; i >= 0; i--)
	{
		next_rand = next_rand * 1812433253L + 12345L;
		j = ((int)(next_rand >> 16) & 0x7FFF) % 4096;
		temp = hashTable[i];
		hashTable[i] = hashTable[j];
		hashTable[j] = temp;
	}

	for(i = 0; i < 4096; i++)
		hashTable[4096 + i] = hashTable[i];

	FASTER_NOISE_INIT();
}



/*****************************************************************************
*
* FUNCTION
*
*   Free_Noise_Tables()
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/

void Free_Noise_Tables()
{
	if (sintab != NULL)
	{
		POV_FREE(sintab);

		sintab       = NULL;

#ifdef DYNAMIC_HASHTABLE
		POV_FREE(hashTable);
		hashTable    = NULL;
#endif
	}
}



/*****************************************************************************
*
* FUNCTION
*
*   Noise
*
* INPUT
*
*   EPoint -- 3-D point at which noise is evaluated
*
* OUTPUT
*
* RETURNS
*
*   DBL noise value
*
* AUTHOR
*
*   Robert Skinner based on Ken Perlin
*
* DESCRIPTION
*
* CHANGES
*   Modified by AAC to ensure uniformly distributed clamped values
*   between 0 and 1.0...
*
*   Feb 8, 2001: modified function based on MegaPov 0.7 to remove
*                bugs that showed up when noise was translated.
*
******************************************************************************/

DBL OriNoise(const VECTOR EPoint, int noise_generator)
{
	DBL x, y, z;
	DBL *mp;
	int tmp;
	int ix, iy, iz;
	int ixiy_hash, ixjy_hash, jxiy_hash, jxjy_hash;

	DBL sx, sy, sz, tx, ty, tz;
	DBL sum = 0.0;

	DBL x_ix, x_jx, y_iy, y_jy, z_iz, z_jz, txty, sxty, txsy, sxsy;

	// TODO FIXME - global statistics reference
	// Stats[Calls_To_Noise]++;

	if (noise_generator==3)
	{
		// The 1.59 and 0.985 are to correct for some biasing problems with
		// the random # generator used to create the noise tables.  Final
		// range of values is about 5.0e-4 below 0.0 and above 1.0.  Mean
		// value is 0.49 (ideally it would be 0.5).
		sum = 0.5 * (1.59 * SolidNoise(EPoint) + 0.985);

		// Clamp final value to 0-1 range
			if (sum < 0.0) sum = 0.0;
			if (sum > 1.0) sum = 1.0;

		return sum;
	}

	x = EPoint[X];
	y = EPoint[Y];
	z = EPoint[Z];

	/* its equivalent integer lattice point. */
	/* ix = (int)x; iy = (int)y; iz = (long)z; */
	/* JB fix for the range problem */
	tmp = (x>=0)?(int)x:(int)(x-(1-EPSILON));
	ix = (int)((tmp-MINX)&0xFFF);
	x_ix = x-tmp;

	tmp = (y>=0)?(int)y:(int)(y-(1-EPSILON));
	iy = (int)((tmp-MINY)&0xFFF);
	y_iy = y-tmp;

	tmp = (z>=0)?(int)z:(int)(z-(1-EPSILON));
	iz = (int)((tmp-MINZ)&0xFFF);
	z_iz = z-tmp;

	x_jx = x_ix-1; y_jy = y_iy-1; z_jz = z_iz-1;

	sx = SCURVE(x_ix); sy = SCURVE(y_iy); sz = SCURVE(z_iz);

	/* the complement values of sx,sy,sz */
	tx = 1 - sx; ty = 1 - sy; tz = 1 - sz;

	/*
	 *  interpolate!
	 */
	txty = tx * ty;
	sxty = sx * ty;
	txsy = tx * sy;
	sxsy = sx * sy;
	ixiy_hash = Hash2d(ix,     iy);
	jxiy_hash = Hash2d(ix + 1, iy);
	ixjy_hash = Hash2d(ix,     iy + 1);
	jxjy_hash = Hash2d(ix + 1, iy + 1);

	mp = &RTable[Hash1dRTableIndex(ixiy_hash, iz)];
	sum = INCRSUMP(mp, (txty*tz), x_ix, y_iy, z_iz);

	mp = &RTable[Hash1dRTableIndex(jxiy_hash, iz)];
	sum += INCRSUMP(mp, (sxty*tz), x_jx, y_iy, z_iz);

	mp = &RTable[Hash1dRTableIndex(ixjy_hash, iz)];
	sum += INCRSUMP(mp, (txsy*tz), x_ix, y_jy, z_iz);

	mp = &RTable[Hash1dRTableIndex(jxjy_hash, iz)];
	sum += INCRSUMP(mp, (sxsy*tz), x_jx, y_jy, z_iz);

	mp = &RTable[Hash1dRTableIndex(ixiy_hash, iz + 1)];
	sum += INCRSUMP(mp, (txty*sz), x_ix, y_iy, z_jz);

	mp = &RTable[Hash1dRTableIndex(jxiy_hash, iz + 1)];
	sum += INCRSUMP(mp, (sxty*sz), x_jx, y_iy, z_jz);

	mp = &RTable[Hash1dRTableIndex(ixjy_hash, iz + 1)];
	sum += INCRSUMP(mp, (txsy*sz), x_ix, y_jy, z_jz);

	mp = &RTable[Hash1dRTableIndex(jxjy_hash, iz + 1)];
	sum += INCRSUMP(mp, (sxsy*sz), x_jx, y_jy, z_jz);

	if(noise_generator==2)
	{
		/* details of range here:
		Min, max: -1.05242, 0.988997
		Mean: -0.0191481, Median: -0.535493, Std Dev: 0.256828

		We want to change it to as close to [0,1] as possible.
		*/
		sum += 1.05242;
		sum *= 0.48985582;
		/*sum *= 0.5;
			sum += 0.5;*/

		if (sum < 0.0)
			sum = 0.0;
		if (sum > 1.0)
			sum = 1.0;
	}
	else
	{
		sum = sum + 0.5;                     /* range at this point -0.5 - 0.5... */

		if (sum < 0.0)
			sum = 0.0;
		if (sum > 1.0)
			sum = 1.0;
	}

	return (sum);
}



/*****************************************************************************
*
* FUNCTION
*
*   DNoise
*
* INPUT
*
*   EPoint -- 3-D point at which noise is evaluated
*
* OUTPUT
*
*   VECTOR result
*
* RETURNS
*
* AUTHOR
*
*   Robert Skinner based on Ken Perlin
*
* DESCRIPTION
*   Vector-valued version of "Noise"
*
* CHANGES
*   Modified by AAC to ensure uniformly distributed clamped values
*   between 0 and 1.0...
*
*   Feb 8, 2001: modified function based on MegaPov 0.7 to remove
*                bugs that showed up when noise was translated.
*
******************************************************************************/

void OriDNoise(VECTOR result, const VECTOR EPoint)
{
	DBL x, y, z;
	DBL *mp;
	int tmp;
	int ix, iy, iz;
	int ixiy_hash, ixjy_hash, jxiy_hash, jxjy_hash;
	DBL x_ix, x_jx, y_iy, y_jy, z_iz, z_jz;
	DBL s;
	DBL sx, sy, sz, tx, ty, tz;
	DBL txty, sxty, txsy, sxsy;

	// TODO FIXME - global statistics reference
	// Stats[Calls_To_DNoise]++;

	x = EPoint[X];
	y = EPoint[Y];
	z = EPoint[Z];

	/* its equivalent integer lattice point. */
	/*ix = (int)x; iy = (int)y; iz = (int)z;
	x_ix = x - ix; y_iy = y - iy; z_iz = z - iz;*/
	            /* JB fix for the range problem */
	tmp = (x>=0)?(int)x:(int)(x-(1-EPSILON));
	ix = (int)((tmp-MINX)&0xFFF);
	x_ix = x-tmp;

	tmp = (y>=0)?(int)y:(int)(y-(1-EPSILON));
	iy = (int)((tmp-MINY)&0xFFF);
	y_iy = y-tmp;

	tmp = (z>=0)?(int)z:(int)(z-(1-EPSILON));
	iz = (int)((tmp-MINZ)&0xFFF);
	z_iz = z-tmp;

	x_jx = x_ix-1; y_jy = y_iy-1; z_jz = z_iz-1;

	sx = SCURVE(x_ix); sy = SCURVE(y_iy); sz = SCURVE(z_iz);

	/* the complement values of sx,sy,sz */
	tx = 1 - sx; ty = 1 - sy; tz = 1 - sz;

	/*
	 *  interpolate!
	 */
	txty = tx * ty;
	sxty = sx * ty;
	txsy = tx * sy;
	sxsy = sx * sy;
	ixiy_hash = Hash2d(ix,     iy);
	jxiy_hash = Hash2d(ix + 1, iy);
	ixjy_hash = Hash2d(ix,     iy + 1);
	jxjy_hash = Hash2d(ix + 1, iy + 1);

	mp = &RTable[Hash1dRTableIndex(ixiy_hash, iz)];
	s = txty*tz;
	result[X] = INCRSUMP(mp, s, x_ix, y_iy, z_iz);
	mp += 8;
	result[Y] = INCRSUMP(mp, s, x_ix, y_iy, z_iz);
	mp += 8;
	result[Z] = INCRSUMP(mp, s, x_ix, y_iy, z_iz);

	mp = &RTable[Hash1dRTableIndex(jxiy_hash, iz)];
	s = sxty*tz;
	result[X] += INCRSUMP(mp, s, x_jx, y_iy, z_iz);
	mp += 8;
	result[Y] += INCRSUMP(mp, s, x_jx, y_iy, z_iz);
	mp += 8;
	result[Z] += INCRSUMP(mp, s, x_jx, y_iy, z_iz);

	mp = &RTable[Hash1dRTableIndex(jxjy_hash, iz)];
	s = sxsy*tz;
	result[X] += INCRSUMP(mp, s, x_jx, y_jy, z_iz);
	mp += 8;
	result[Y] += INCRSUMP(mp, s, x_jx, y_jy, z_iz);
	mp += 8;
	result[Z] += INCRSUMP(mp, s, x_jx, y_jy, z_iz);

	mp = &RTable[Hash1dRTableIndex(ixjy_hash, iz)];
	s = txsy*tz;
	result[X] += INCRSUMP(mp, s, x_ix, y_jy, z_iz);
	mp += 8;
	result[Y] += INCRSUMP(mp, s, x_ix, y_jy, z_iz);
	mp += 8;
	result[Z] += INCRSUMP(mp, s, x_ix, y_jy, z_iz);

	mp = &RTable[Hash1dRTableIndex(ixjy_hash, iz + 1)];
	s = txsy*sz;
	result[X] += INCRSUMP(mp, s, x_ix, y_jy, z_jz);
	mp += 8;
	result[Y] += INCRSUMP(mp, s, x_ix, y_jy, z_jz);
	mp += 8;
	result[Z] += INCRSUMP(mp, s, x_ix, y_jy, z_jz);

	mp = &RTable[Hash1dRTableIndex(jxjy_hash, iz + 1)];
	s = sxsy*sz;
	result[X] += INCRSUMP(mp, s, x_jx, y_jy, z_jz);
	mp += 8;
	result[Y] += INCRSUMP(mp, s, x_jx, y_jy, z_jz);
	mp += 8;
	result[Z] += INCRSUMP(mp, s, x_jx, y_jy, z_jz);

	mp = &RTable[Hash1dRTableIndex(jxiy_hash, iz + 1)];
	s = sxty*sz;
	result[X] += INCRSUMP(mp, s, x_jx, y_iy, z_jz);
	mp += 8;
	result[Y] += INCRSUMP(mp, s, x_jx, y_iy, z_jz);
	mp += 8;
	result[Z] += INCRSUMP(mp, s, x_jx, y_iy, z_jz);

	mp = &RTable[Hash1dRTableIndex(ixiy_hash, iz + 1)];
	s = txty*sz;
	result[X] += INCRSUMP(mp, s, x_ix, y_iy, z_jz);
	mp += 8;
	result[Y] += INCRSUMP(mp, s, x_ix, y_iy, z_jz);
	mp += 8;
	result[Z] += INCRSUMP(mp, s, x_ix, y_iy, z_jz);
}

// Note that the value of NoiseEntries must be a power of 2.  This
// is because bit masking using (NoiseEntries-1) is used to rescale
// the input values to the noise function.
const int NoiseEntries = 2048;
static int NoisePermutation[2*(NoiseEntries+1)];
static VECTOR NoiseGradients[2*(NoiseEntries+1)];

const DBL ROLLOVER = 10000000.023157213;

static void
InitSolidNoise(void)
{
	int i, j, k;
	VECTOR v;
	DBL s;

	// Create an array of random gradient vectors uniformly on the unit sphere
	int next_rand = 1;
	for(i = 0; i < NoiseEntries; i++)
	{
		do
		{
			for(j = 0; j < 3; j++)
			{
				next_rand = next_rand * 1812433253L + 12345L;
				v[j] = (DBL)((((int)(next_rand >> 16) & 0x7FFF) % (NoiseEntries << 1)) - NoiseEntries) / (DBL)NoiseEntries;
			}
			s = VSumSqr(v);
		} while ((s > 1.0) || (s < 1.0e-5));
		s = 1.0 / sqrt(s);
		VScaleEq(v, s);

		Assign_Vector(NoiseGradients[i], v);
	}
	// Create a pseudorandom permutation of [0..NoiseEntries]
	for(i = 0; i < NoiseEntries; i++)
		NoisePermutation[i] = i;
	for(i = NoiseEntries; i > 0; i -= 2)
	{
		k = NoisePermutation[i];
		next_rand = next_rand * 1812433253L + 12345L;
		j = ((int)(next_rand >> 16) & 0x7FFF) % NoiseEntries;
		NoisePermutation[i] = NoisePermutation[j];
		NoisePermutation[j] = k;
	}
	// Duplicate the entries so that we don't need a modulus operation
	// to get a value out.
	for(i = 0; i < NoiseEntries + 2; i++)
	{
		NoisePermutation[NoiseEntries + i] = NoisePermutation[i];
		Assign_Vector(NoiseGradients[NoiseEntries+i], NoiseGradients[i]);
	}
}

// Hermite curve from 0 to 1.  Makes a nice smooth transition of values.
static DBL inline
SCurve(DBL t)
{
	return (t * t * (3.0 - 2.0 * t));
}


// Linear interpolation between a and b, as the value of t goes from 0 to 1.
static DBL inline
Lerp(DBL t, DBL a, DBL b)
{
	return ((a) + (t) * ((b) - (a)));
}

// Linear interpolation between a and b, as the value of t goes from 0 to 1.
static void inline
VLerp(VECTOR v, DBL t, const VECTOR a, const VECTOR b)
{
	v[X] = Lerp(t, a[X], b[X]);
	v[Y] = Lerp(t, a[Y], b[Y]);
	v[Z] = Lerp(t, a[Z], b[Z]);
}

static void inline
SetupSolidNoise(const VECTOR P, int i, int &b0, int &b1, DBL &r0, DBL &r1)
{
	DBL t = P[i] + ROLLOVER;

	int it = (int)floor(t);
	b0 = it & (NoiseEntries - 1);
	b1 = (b0 + 1) & (NoiseEntries - 1);
	r0 = t - it;
	r1 = r0 - 1.0;
}

static DBL inline
NoiseValueAt(const VECTOR q, DBL rx, DBL ry, DBL rz)
{
	return (rx * q[X] + ry * q[Y] + rz * q[Z]);
}

static DBL
SolidNoise(const VECTOR P)
{
	int bx0, bx1, by0, by1, bz0, bz1;
	int b00, b10, b01, b11;
	DBL rx0, rx1, ry0, ry1, rz0, rz1;
	DBL sx, sy, sz, a, b, c, d, t, u, v;
	int i, j;

	SetupSolidNoise(P, 0, bx0, bx1, rx0, rx1);
	SetupSolidNoise(P, 1, by0, by1, ry0, ry1);
	SetupSolidNoise(P, 2, bz0, bz1, rz0, rz1);

	i = NoisePermutation[bx0];
	j = NoisePermutation[bx1];

	b00 = NoisePermutation[i + by0];
	b10 = NoisePermutation[j + by0];
	b01 = NoisePermutation[i + by1];
	b11 = NoisePermutation[j + by1];

	sx = SCurve(rx0);
	sy = SCurve(ry0);
	sz = SCurve(rz0);

	u = NoiseValueAt(NoiseGradients[b00 + bz0], rx0, ry0, rz0);
	v = NoiseValueAt(NoiseGradients[b10 + bz0], rx1, ry0, rz0);
	a = Lerp(sx, u, v);

	u = NoiseValueAt(NoiseGradients[b01 + bz0], rx0, ry1, rz0);
	v = NoiseValueAt(NoiseGradients[b11 + bz0], rx1, ry1, rz0);
	b = Lerp(sx, u, v);

	c = Lerp(sy, a, b);

	u = NoiseValueAt(NoiseGradients[b00 + bz1], rx0, ry0, rz1);
	v = NoiseValueAt(NoiseGradients[b10 + bz1], rx1, ry0, rz1);
	a = Lerp(sx, u, v);

	u = NoiseValueAt(NoiseGradients[b01 + bz1], rx0, ry1, rz1);
	v = NoiseValueAt(NoiseGradients[b11 + bz1], rx1, ry1, rz1);
	b = Lerp(sx, u, v);

	d = Lerp(sy, a, b);

	t = Lerp(sz, c, d);

	return t;
}

static void
SolidDNoise(const VECTOR P, VECTOR D)
{
	int bx0, bx1, by0, by1, bz0, bz1;
	int b00, b10, b01, b11;
	DBL rx0, rx1, ry0, ry1, rz0, rz1;
	DBL sx, sy, sz;
	VECTOR a, b, c, d, u, v;
	int i, j;

	SetupSolidNoise(P, 0, bx0, bx1, rx0, rx1);
	SetupSolidNoise(P, 1, by0, by1, ry0, ry1);
	SetupSolidNoise(P, 2, bz0, bz1, rz0, rz1);

	i = NoisePermutation[bx0];
	j = NoisePermutation[bx1];

	b00 = NoisePermutation[i + by0];
	b10 = NoisePermutation[j + by0];
	b01 = NoisePermutation[i + by1];
	b11 = NoisePermutation[j + by1];

	sx = SCurve(rx0);
	sy = SCurve(ry0);
	sz = SCurve(rz0);


	Assign_Vector(u, NoiseGradients[b00 + bz0]);
	Assign_Vector(v, NoiseGradients[b10 + bz0]);
	VLerp(a, sx, u, v);

	Assign_Vector(u, NoiseGradients[b01 + bz0]);
	Assign_Vector(v, NoiseGradients[b11 + bz0]);
	VLerp(b, sx, u, v);

	VLerp(c, sy, a, b);

	Assign_Vector(u, NoiseGradients[b00 + bz1]);
	Assign_Vector(v, NoiseGradients[b10 + bz1]);
	VLerp(a, sx, u, v);

	Assign_Vector(u, NoiseGradients[b01 + bz1]);
	Assign_Vector(v, NoiseGradients[b11 + bz1]);
	VLerp(b, sx, u, v);

	VLerp(d, sy, a, b);

	VLerp(D, sz, c, d);
}


/*****************************************************************************
*
* FUNCTION
*
*   Turbulence
*
* INPUT
*
*   EPoint -- Point at which turb is evaluated.
*   Turb   -- Parameters for fbm calculations.
*
* OUTPUT
*
* RETURNS
*
*   DBL result
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION   : Computes a Fractal Brownian Motion turbulence value
*                 using repeated calls to a Perlin Noise function.
*
* CHANGES
*   ??? ???? : Updated with varible Octaves, Lambda, & Omega by [DMF]
*
******************************************************************************/

DBL Turbulence(const VECTOR EPoint, const TURB *Turb, int noise_generator)
{
	int i;
	DBL Lambda, Omega, l, o, value;
	VECTOR temp;
	int Octaves=Turb->Octaves;

	if (noise_generator>1)
	{
		value = (2.0 * Noise(EPoint, noise_generator) - 0.5);
		value = min(max(value,0.0),1.0);
	} else {
		value = Noise(EPoint, noise_generator);
	}

	l = Lambda = Turb->Lambda;
	o = Omega  = Turb->Omega;

	for (i = 2; i <= Octaves; i++)
	{
		VScale(temp,EPoint,l);
		if (noise_generator>1)
			value += o * (2.0 * Noise(temp, noise_generator) - 0.5);
	else
		value += o * Noise(temp, noise_generator);
		if (i < Octaves)
		{
			l *= Lambda;
			o *= Omega;
		}
	}
	return (value);
}



/*****************************************************************************
*
* FUNCTION
*
*   DTurbulence
*
* INPUT
*
*   EPoint -- Point at which turb is evaluated.
*   Turb   -- Parameters for fmb calculations.
*
* OUTPUT
*
*   result -- Vector valued turbulence
*
* RETURNS
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION   : Computes a Fractal Brownian Motion turbulence value
*                 using repeated calls to a Perlin DNoise function.
*
* CHANGES
*   ??? ???? : Updated with varible Octaves, Lambda, & Omega by [DMF]
*
******************************************************************************/


void DTurbulence(VECTOR result, const VECTOR EPoint, const TURB *Turb)
{
	DBL Omega, Lambda;
	int i;
	DBL l, o;
	VECTOR value, temp;
	int Octaves=Turb->Octaves;

	result[X] = result[Y] = result[Z] = 0.0;
	value[X]  = value[Y]  = value[Z]  = 0.0;

	DNoise(result, EPoint);

	l = Lambda = Turb->Lambda;
	o = Omega  = Turb->Omega;

	for (i = 2; i <= Octaves; i++)
	{
		VScale(temp,EPoint,l);

		DNoise(value, temp);
		result[X] += o * value[X];
		result[Y] += o * value[Y];
		result[Z] += o * value[Z];
		if (i < Octaves)
		{
			l *= Lambda;
			o *= Omega;
		}
	}
}



/*****************************************************************************
*
* FUNCTION
*
*   cycloidal
*
* INPUT
*
*   DBL value
*
* OUTPUT
*
* RETURNS
*
*   DBL result
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/

DBL cycloidal(DBL value)
{
	if (value >= 0.0)
	{
		return sin((DBL) (((value - floor(value)) * 50000.0)) / 50000.0 * TWO_M_PI)  ;
	}
	else
	{
		return 0.0-sin((DBL) (((0.0 - (value + floor(0.0 - value))) * 50000.0)) / 50000.0 * TWO_M_PI);
	}
}



/*****************************************************************************
*
* FUNCTION
*
*   Triangle_Wave
*
* INPUT
*
*   DBL value
*
* OUTPUT
*
* RETURNS
*
*   DBL result
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/

DBL Triangle_Wave(DBL value)
{
	register DBL offset;

	if (value >= 0.0)
	{
		offset = value - floor(value);
	}
	else
	{
		offset = value + 1.0 + floor(fabs(value));
	}
	if (offset >= 0.5)
	{
		return (2.0 * (1.0 - offset));
	}
	else
	{
		return (2.0 * offset);
	}
}



/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/

void Transform_Textures(TEXTURE *Textures, const TRANSFORM *Trans)
{
	TEXTURE *Layer;

	for (Layer = Textures; Layer != NULL; Layer = reinterpret_cast<TEXTURE *>(Layer->Next))
	{
		if (Layer->Type == PLAIN_PATTERN)
		{
			Transform_Tpattern(reinterpret_cast<TPATTERN *>(Layer->Pigment), Trans);
			Transform_Tpattern(reinterpret_cast<TPATTERN *>(Layer->Tnormal), Trans);
		}
		else
		{
			Transform_Tpattern(reinterpret_cast<TPATTERN *>(Layer), Trans);
		}
	}
}



/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION
*
* CHANGES
*   6/27/98  MBP  Added initializers for reflection blur
*   8/27/98  MBP  Added initializers for angle-based reflectivity
*
******************************************************************************/

FINISH *Create_Finish()
{
	FINISH *New;

	New = reinterpret_cast<FINISH *>(POV_MALLOC(sizeof (FINISH), "finish"));

	New->Ambient.set(0.1);
	New->Emission.clear();
	New->Reflection_Max.clear();
	New->Reflection_Min.clear();

	New->Reflection_Type    = 0;
	New->Reflection_Falloff = 1;    /* Added by MBP 8/27/98 */
	New->Diffuse            = 0.6;
	New->DiffuseBack        = 0.0;
	New->RawDiffuse         = New->Diffuse;
	New->RawDiffuseBack     = New->DiffuseBack;
	New->Brilliance         = 1.0;
	New->Phong              = 0.0;
	New->Phong_Size         = 40.0;
	New->Specular           = 0.0;
	New->Roughness          = 1.0 / 0.05;

	New->Crand = 0.0;

	New->Metallic = 0.0;

	New->Irid                = 0.0;
	New->Irid_Film_Thickness = 0.0;
	New->Irid_Turb           = 0.0;
	New->Temp_Caustics = -1.0;
	New->Temp_IOR     = -1.0;
	New->Temp_Dispersion  = 1.0;
	New->Temp_Refract =  1.0;
	New->Reflect_Exp  =  1.0;
	New->Reflect_Metallic = 0.0;
	/* Added Dec 19 1999 by NK */
	New->Conserve_Energy = false;

	New->UseSubsurface = false;
	New->SubsurfaceTranslucency.clear();
	New->SubsurfaceAnisotropy.clear();

	return(New);
}



/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/

FINISH *Copy_Finish(const FINISH *Old)
{
	FINISH *New;

	if (Old != NULL)
	{
		New = Create_Finish();
		*New = *Old;
	}
	else
		New = NULL;
	return (New);
}



/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/

TEXTURE *Create_Texture()
{
	TEXTURE *New;

	New = reinterpret_cast<TEXTURE *>(POV_MALLOC(sizeof (TEXTURE), "texture"));

	Init_TPat_Fields(reinterpret_cast<TPATTERN *>(New));

	New->References = 1;

	New->Type    = PLAIN_PATTERN;
	New->Flags  |= NO_FLAGS; // [CLi] Already initialized by Init_TPat_Fields

	New->Pigment = NULL;
	New->Tnormal = NULL;
	New->Finish  = NULL;

	New->Next          = NULL;
	New->Next_Material = NULL;

	New->Materials = NULL;
	New->Num_Of_Mats = 0;

	return (New);
}


/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/

TEXTURE *Copy_Texture_Pointer(TEXTURE *Texture)
{
	if (Texture != NULL)
	{
		Texture->References++;
	}

	return(Texture);
}




/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/

TEXTURE *Copy_Textures(const TEXTURE *Textures)
{
	TEXTURE *New, *First, *Previous;
	const TEXTURE *Layer;

	Previous = First = NULL;

	for (Layer = Textures; Layer != NULL; Layer = reinterpret_cast<const TEXTURE *>(Layer->Next))
	{
		New = Create_Texture();
		Copy_TPat_Fields (reinterpret_cast<TPATTERN *>(New), reinterpret_cast<const TPATTERN *>(Layer));

		/*  Mesh copies a texture pointer that already has multiple
		    references.  We just want a clean copy, not a copy
		    that's multply referenced.
		 */

		New->References = 1;

		switch (Layer->Type)
		{
			case PLAIN_PATTERN:
				New->Pigment = Copy_Pigment(Layer->Pigment);
				New->Tnormal = Copy_Tnormal(Layer->Tnormal);
				New->Finish  = Copy_Finish(Layer->Finish);

				break;

			case BITMAP_PATTERN:

				New->Materials   = Copy_Materials(Layer->Materials);
				New->Num_Of_Mats = Layer->Num_Of_Mats;

//				Not needed. Copied by Copy_TPat_Fields:
//				New->Vals.Image  = Copy_Image(Layer->Vals.Image);

				break;
		}

		if (First == NULL)
		{
			First = New;
		}

		if (Previous != NULL)
		{
			Previous->Next = reinterpret_cast<TPATTERN *>(New);
		}

		Previous = New;
	}

	return (First);
}



/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/

static TEXTURE *Copy_Materials(TEXTURE *Old)
{
	TEXTURE *New, *First, *Previous, *Material;

	Previous = First = NULL;

	for (Material = Old; Material != NULL; Material = Material->Next_Material)
	{
		New = Copy_Textures(Material);

		if (First == NULL)
		{
			First = New;
		}

		if (Previous != NULL)
		{
			Previous->Next_Material = New;
		}

		Previous = New;
	}

	return (First);
}



/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/

void Destroy_Textures(TEXTURE *Textures)
{
	TEXTURE *Layer = Textures;
	TEXTURE *Mats;
	TEXTURE *Temp;

	if ((Textures == NULL) || (--(Textures->References) > 0))
	{
		return;
	}

	while (Layer != NULL)
	{
		Mats = Layer->Next_Material;

		while (Mats != NULL)
		{
			Temp = Mats->Next_Material;
			Mats->Next_Material = NULL;
			Destroy_Textures(Mats);
			Mats = Temp;
		}

		Destroy_TPat_Fields(reinterpret_cast<TPATTERN *>(Layer));

		switch (Layer->Type)
		{
			case PLAIN_PATTERN:

				Destroy_Pigment(Layer->Pigment);
				Destroy_Tnormal(Layer->Tnormal);
				Destroy_Finish(Layer->Finish);

			break;


			case BITMAP_PATTERN:

				Destroy_Textures(Layer->Materials);
				/*taken care of by Destroy_TPat_Fields*/
				/*Destroy_Image(Layer->Vals.Image);*/

			break;
		}

		Temp = reinterpret_cast<TEXTURE *>(Layer->Next);
		POV_FREE(Layer);
		Layer = Temp;
	}
}



/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
*   POV-Ray Team
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/

void Post_Textures(TEXTURE *Textures)
{
	TEXTURE *Layer, *Material;
	int i;
	BLEND_MAP *Map;

	if (Textures == NULL)
	{
		return;
	}

	for (Layer = Textures; Layer != NULL; Layer = reinterpret_cast<TEXTURE *>(Layer->Next))
	{
		if (!((Layer->Flags) & POST_DONE))
		{
			switch (Layer->Type)
			{
				case PLAIN_PATTERN:

					if(Layer->Tnormal)
					{
						Layer->Tnormal->Flags |=
							(Layer->Flags & DONT_SCALE_BUMPS_FLAG);
					}
					Post_Pigment(Layer->Pigment);
					Post_Tnormal(Layer->Tnormal);

					break;

				case BITMAP_PATTERN:

					for (Material = Layer->Materials; Material != NULL; Material = Material->Next_Material)

						Post_Textures(Material);

						break;
			}

			if ((Map=Layer->Blend_Map) != NULL)
			{
				for (i = 0; i < Map->Number_Of_Entries; i++)
				{
					Map->Blend_Map_Entries[i].Vals.Texture->Flags |=
						(Layer->Flags & DONT_SCALE_BUMPS_FLAG);
					Post_Textures(Map->Blend_Map_Entries[i].Vals.Texture);
				}
			}
			else
			{
				if (Layer->Type == AVERAGE_PATTERN)
				{
					throw POV_EXCEPTION_STRING("No texture map in averaged texture.");
				}
			}
		}
	}
}



/*****************************************************************************
*
* FUNCTION
*
*   Test_Opacity
*
* INPUT
*
*   Object - Pointer to object
*
* OUTPUT
*
* RETURNS
*
*   int - true, if opaque
*
* AUTHOR
*
*   Dieter Bayer
*
* DESCRIPTION
*
*   Test wether an object is opaque or not, i.e. wether the texture contains
*   a non-zero filter or alpha channel.
*
* CHANGES
*
*   Aug 1994 : Creation.
*
*   Oct 1994 : Added code to check for opaque image maps. [DB]
*
*   Jun 1995 : Added code to check for alpha channel image maps. [DB]
*
******************************************************************************/

int Test_Opacity(const TEXTURE *Texture)
{
	int Opaque, Help;
	const TEXTURE *Layer, *Material;

	if (Texture == NULL)
	{
		return(false);
	}

	/* We assume that the object is not opaque. */

	Opaque = false;

	/* Test all layers. If at least one layer is opaque the object is opaque. */

	for (Layer = Texture; Layer != NULL; Layer = reinterpret_cast<const TEXTURE *>(Layer->Next))
	{
		switch (Layer->Type)
		{
			case PLAIN_PATTERN:

				/* Test image map for opacity. */

				if (!(Layer->Pigment->Flags & HAS_FILTER))
				{
					Opaque = true;
				}

				break;

			case BITMAP_PATTERN:

				/* Layer is not opaque if the image map is used just once. */

				if (Layer->Vals.image != NULL)
				{
					if (Layer->Vals.image->Once_Flag)
					{
						break;
					}
				}

				/* Layer is opaque if all materials are opaque. */

				Help = true;

				for (Material = Layer->Materials; Material != NULL; Material = Material->Next_Material)
				{
					if (!Test_Opacity(Material))
					{
						/* Material is not opaque --> layer is not opaque. */

						Help = false;

						break;
					}
				}

				if (Help)
				{
					Opaque = true;
				}

				break;
		}
	}

	return(Opaque);
}


#if defined(USE_AVX_FMA4_FOR_NOISE)

/********************************************************************************************/
/* AMD Specific optimizations: Its found that more than 50% of the time is spent in         */
/* Noise and DNoise. These functions have been optimized using AVX and FMA4 instructions    */
/*                                                                                          */
/********************************************************************************************/
DBL (*Noise) (const VECTOR EPoint, int noise_generator);
void (*DNoise) (VECTOR result, const VECTOR EPoint);

/*****************************************************************************
*
* FUNCTION
*
*   Initialise_NoiseDispatch
*
* INPUT
*
*  None
*
* OUTPUT
*		Initialises the Noise and DNoise Function pointers to the right functions
*
*
* RETURNS
*
*  None
*
* AUTHOR
*
*   AMD
*
* DESCRIPTION
*
* CHANGES
*
*
******************************************************************************/

void Initialise_NoiseDispatch()
{
	static bool cpu_detected = false;

	if(!cpu_detected)
	{
			if(CPU_FMA4_DETECT())
			{
				Noise = AVX_FMA4_Noise;
				DNoise = AVX_FMA4_DNoise;
			}
			else
			{
				Noise = OriNoise;
				DNoise = OriDNoise;
			}

			cpu_detected = true;
	}
}



/*****************************************************************************
*
* FUNCTION
*
*   AVX_FMA4_Noise
*
* INPUT
*
*   EPoint -- 3-D point at which noise is evaluated
*
* OUTPUT
*
* RETURNS
*
*   DBL noise value
*
* AUTHOR
*
*   Robert Skinner based on Ken Perlin
*
* DESCRIPTION
*
* CHANGES
*   Modified by AAC to ensure uniformly distributed clamped values
*   between 0 and 1.0...
*
*   Feb 8, 2001: modified function based on MegaPov 0.7 to remove
*                bugs that showed up when noise was translated.
*
*     Changes Made by AMD
*    July 28, 2011: Re-wrote OriNoise function using AVX and FMA4 intrinsic
*
******************************************************************************/

DBL AVX_FMA4_Noise(const VECTOR EPoint, int noise_generator)
{
	DBL x, y, z;
	DBL *mp;
	int tmp;
	int ix, iy, iz;
	int ixiy_hash, ixjy_hash, jxiy_hash, jxjy_hash;
	DBL x_ix,y_iy, z_iz;

	DBL sum = 0.0;

	// TODO FIXME - global statistics reference
	// Stats[Calls_To_Noise]++;

	if (noise_generator==3)
	{
		// The 1.59 and 0.985 are to correct for some biasing problems with
		// the random # generator used to create the noise tables.  Final
		// range of values is about 5.0e-4 below 0.0 and above 1.0.  Mean
		// value is 0.49 (ideally it would be 0.5).
		sum = 0.5 * (1.59 * SolidNoise(EPoint) + 0.985);

		// Clamp final value to 0-1 range
			if (sum < 0.0) sum = 0.0;
			if (sum > 1.0) sum = 1.0;

		return sum;
	}

	x = EPoint[X];
	y = EPoint[Y];
	z = EPoint[Z];

	/* its equivalent integer lattice point. */
	/* ix = (int)x; iy = (int)y; iz = (long)z; */
	/* JB fix for the range problem */
	tmp = (x>=0)?(int)x:(int)(x-(1-EPSILON));
	ix = (int)((tmp-MINX)&0xFFF);
	x_ix = x-tmp;

	tmp = (y>=0)?(int)y:(int)(y-(1-EPSILON));
	iy = (int)((tmp-MINY)&0xFFF);
	y_iy = y-tmp;

	tmp = (z>=0)?(int)z:(int)(z-(1-EPSILON));
	iz = (int)((tmp-MINZ)&0xFFF);
	z_iz = z-tmp;


	ixiy_hash = Hash2d(ix,     iy);
	jxiy_hash = Hash2d(ix + 1, iy);
	ixjy_hash = Hash2d(ix,     iy + 1);
	jxjy_hash = Hash2d(ix + 1, iy + 1);

	__m128d three = {3.0,3.0};
	__m128d two = {2.0,2.0};
	__m128d one = {1.0,1.0};

	__m128d ix_mm = _mm_set1_pd(x_ix);
	__m128d iy_mm = _mm_set1_pd(y_iy);
	__m128d iz_mm = _mm_set1_pd(z_iz);

	__m128d jx_mm = _mm_sub_pd(ix_mm,one);
	__m128d jy_mm = _mm_sub_pd(iy_mm,one);
	__m128d jz_mm = _mm_sub_pd(iz_mm,one);


	__m128d mm_sx = _mm_mul_pd(_mm_mul_pd(ix_mm,ix_mm), _mm_nmacc_pd(two,ix_mm,three));
	__m128d mm_sy =  _mm_mul_pd(_mm_mul_sd(iy_mm,iy_mm),_mm_nmacc_sd(two,iy_mm,three));
	__m128d mm_sz =  _mm_mul_pd(_mm_mul_pd(iz_mm,iz_mm),_mm_nmacc_pd(two,iz_mm,three));

	mp = &RTable[Hash1dRTableIndex(ixiy_hash, iz)];
	DBL *mp2 = &RTable[Hash1dRTableIndex(ixjy_hash, iz)];

	__m128d mm_tx = _mm_sub_pd(one,mm_sx);
	__m128d mm_ty = _mm_sub_sd(one,mm_sy);
	__m128d mm_tz = _mm_sub_pd(one,mm_sz);
	__m128d temp_mm = _mm_unpacklo_pd(mm_ty,mm_sy);
	__m128d mm_txty_txsy = _mm_mul_pd(mm_tx,temp_mm);
	__m128d mm_sxty_sxsy = _mm_mul_pd(mm_sx,temp_mm);

	__m128d mp_t1 = _mm_loadu_pd(mp + 1);
	__m128d mp_t2 = _mm_loadu_pd(mp2 + 1);


	__m128d mp4_mm = _mm_unpacklo_pd(_mm_load_sd(mp + 4),_mm_load_sd(mp2 + 4));   // 44
	__m128d mp6_mm = _mm_unpacklo_pd(_mm_load_sd(mp + 6),_mm_load_sd(mp2 + 6));   // 66

	__m128d mp1_mm = _mm_unpacklo_pd(mp_t1,mp_t2);   // 11
	__m128d mp2_mm= _mm_unpackhi_pd(mp_t1,mp_t2);   // 22

	mp = &RTable[Hash1dRTableIndex(ixiy_hash, iz + 1)];
	mp2 = &RTable[Hash1dRTableIndex(ixjy_hash, iz + 1)];

	__m128d s_mm = _mm_mul_pd(mm_txty_txsy,mm_tz);
	__m128d y_mm = _mm_unpacklo_pd(iy_mm,jy_mm);

	__m128d int_sumf = _mm_macc_pd(ix_mm,mp2_mm,mp1_mm);
	int_sumf = _mm_macc_pd(y_mm,mp4_mm,int_sumf);
	int_sumf = _mm_macc_pd(iz_mm,mp6_mm,int_sumf);
	int_sumf = _mm_mul_pd(s_mm,int_sumf);
//-2---------------------------------------------------------------

	 mp_t1 = _mm_loadu_pd(mp + 1);
	 mp_t2 = _mm_loadu_pd(mp2 + 1);

	 mp4_mm = _mm_unpacklo_pd(_mm_load_sd(mp + 4),_mm_load_sd(mp2 + 4));   // 44
	 mp6_mm = _mm_unpacklo_pd(_mm_load_sd(mp + 6),_mm_load_sd(mp2 + 6));   // 66

	 mp1_mm = _mm_unpacklo_pd(mp_t1,mp_t2);   // 11
	 mp2_mm= _mm_unpackhi_pd(mp_t1,mp_t2);   // 22

	mp = &RTable[Hash1dRTableIndex(jxiy_hash, iz)];
	mp2 = &RTable[Hash1dRTableIndex(jxjy_hash, iz)];

	s_mm = _mm_mul_pd(mm_txty_txsy,mm_sz);

	__m128d int_sum1 = _mm_macc_pd(ix_mm,mp2_mm,mp1_mm);
	int_sum1 = _mm_macc_pd(y_mm,mp4_mm,int_sum1);
	int_sum1 = _mm_macc_pd(jz_mm,mp6_mm,int_sum1);
	int_sum1 = _mm_macc_pd(s_mm,int_sum1,int_sumf);
//-3---------------------------------------------------------------

	 mp_t1 = _mm_loadu_pd(mp + 1);
	 mp_t2 = _mm_loadu_pd(mp2 + 1);

	 mp4_mm = _mm_unpacklo_pd(_mm_load_sd(mp + 4),_mm_load_sd(mp2 + 4));   // 44
	 mp6_mm = _mm_unpacklo_pd(_mm_load_sd(mp + 6),_mm_load_sd(mp2 + 6));   // 66

	 mp1_mm = _mm_unpacklo_pd(mp_t1,mp_t2);   // 11
	 mp2_mm= _mm_unpackhi_pd(mp_t1,mp_t2);   // 22

	mp = &RTable[Hash1dRTableIndex(jxiy_hash, iz + 1)];
	mp2 = &RTable[Hash1dRTableIndex(jxjy_hash, iz + 1)];

	s_mm = _mm_mul_pd(mm_sxty_sxsy,mm_tz);

	int_sumf = _mm_macc_pd(jx_mm,mp2_mm,mp1_mm);
	int_sumf = _mm_macc_pd(y_mm,mp4_mm,int_sumf);
	int_sumf = _mm_macc_pd(iz_mm,mp6_mm,int_sumf);
	int_sumf = _mm_macc_pd(s_mm,int_sumf,int_sum1);
//-4---------------------------------------------------------------
	 mp_t1 = _mm_loadu_pd(mp + 1);
	 mp_t2 = _mm_loadu_pd(mp2 + 1);

	 mp4_mm = _mm_unpacklo_pd(_mm_load_sd(mp + 4),_mm_load_sd(mp2 + 4));   // 44
	 mp6_mm = _mm_unpacklo_pd(_mm_load_sd(mp + 6),_mm_load_sd(mp2 + 6));   // 66

	 mp1_mm = _mm_unpacklo_pd(mp_t1,mp_t2);   // 11
	 mp2_mm= _mm_unpackhi_pd(mp_t1,mp_t2);   // 22


	s_mm = _mm_mul_pd(mm_sxty_sxsy,mm_sz);

	int_sum1 = _mm_macc_pd(jx_mm,mp2_mm,mp1_mm);
	int_sum1 = _mm_macc_pd(y_mm,mp4_mm,int_sum1);
	int_sum1 = _mm_macc_pd(jz_mm,mp6_mm,int_sum1);
	int_sum1 = _mm_macc_pd(s_mm,int_sum1,int_sumf);
	int_sum1 = _mm_add_sd(_mm_unpackhi_pd(int_sum1,int_sum1),int_sum1);
	_mm_store_sd(&sum,int_sum1);

	if(noise_generator==2)
	{
		/* details of range here:
		Min, max: -1.05242, 0.988997
		Mean: -0.0191481, Median: -0.535493, Std Dev: 0.256828

		We want to change it to as close to [0,1] as possible.
		*/
		sum += 1.05242;
		sum *= 0.48985582;
		/*sum *= 0.5;
			sum += 0.5;*/

		if (sum < 0.0)
			sum = 0.0;
		if (sum > 1.0)
			sum = 1.0;
	}
	else
	{
		sum = sum + 0.5;                     /* range at this point -0.5 - 0.5... */

		if (sum < 0.0)
			sum = 0.0;
		if (sum > 1.0)
			sum = 1.0;
	}
	return (sum);
}



/*****************************************************************************
*
* FUNCTION
*
*   AVX_FMA4_DNoise
*
* INPUT
*
*   EPoint -- 3-D point at which noise is evaluated
*
* OUTPUT
*
*   VECTOR result
*
* RETURNS
*
* AUTHOR
*
*   Robert Skinner based on Ken Perlin
*
* DESCRIPTION
*   Vector-valued version of "Noise"
*
* CHANGES
*   Modified by AAC to ensure uniformly distributed clamped values
*   between 0 and 1.0...
*
*   Feb 8, 2001: modified function based on MegaPov 0.7 to remove
*                bugs that showed up when noise was translated.
*
*    Changes Made by AMD
*    July 28, 2011:Re-wrote OriDNoise function using AVX and FMA4 intrinsic
*
******************************************************************************/

void AVX_FMA4_DNoise(VECTOR result, const VECTOR EPoint)
{
	DBL x, y, z;
	int ix, iy, iz;
	DBL *mp;
	int tmp;
	int ixiy_hash, ixjy_hash, jxiy_hash, jxjy_hash;
	DBL x_ix,y_iy,z_iz;

	// TODO FIXME - global statistics reference
	// Stats[Calls_To_DNoise]++;

	x = EPoint[X];
	y = EPoint[Y];
	z = EPoint[Z];

	/* its equivalent integer lattice point. */
	/*ix = (int)x; iy = (int)y; iz = (int)z;
	x_ix = x - ix; y_iy = y - iy; z_iz = z - iz;*/
	            /* JB fix for the range problem */
	tmp = (x>=0)?(int)x:(int)(x-(1-EPSILON));
	ix = (int)((tmp-MINX)&0xFFF);
	x_ix = x-tmp;

	tmp = (y>=0)?(int)y:(int)(y-(1-EPSILON));
	iy = (int)((tmp-MINY)&0xFFF);
	y_iy = y-tmp;

	tmp = (z>=0)?(int)z:(int)(z-(1-EPSILON));
	iz = (int)((tmp-MINZ)&0xFFF);
	z_iz = z-tmp;

	ixiy_hash = Hash2d(ix,     iy);
	jxiy_hash = Hash2d(ix + 1, iy);
	ixjy_hash = Hash2d(ix,     iy + 1);
	jxjy_hash = Hash2d(ix + 1, iy + 1);

	__m128d three = {3.0,3.0};
	__m128d two = {2.0,2.0};
	__m128d one = {1.0,1.0};

	__m128d ix_mm = _mm_set1_pd(x_ix);
	__m128d iy_mm = _mm_set1_pd(y_iy);
	__m128d iz_mm = _mm_set1_pd(z_iz);

	__m128d jx_mm = _mm_sub_pd(ix_mm,one);
	__m128d jy_mm = _mm_sub_pd(iy_mm,one);
	__m128d jz_mm = _mm_sub_pd(iz_mm,one);

	__m128d mm_sx = _mm_mul_pd(_mm_mul_pd(ix_mm,ix_mm), _mm_nmacc_pd(two,ix_mm,three));
	__m128d mm_sy =  _mm_mul_pd(_mm_mul_pd(iy_mm,iy_mm),_mm_nmacc_pd(two,iy_mm,three));
	__m128d mm_sz =  _mm_mul_pd(_mm_mul_pd(iz_mm,iz_mm),_mm_nmacc_pd(two,iz_mm,three));

	__m128d mm_tx = _mm_sub_pd(one,mm_sx);
	__m128d mm_ty = _mm_sub_pd(one,mm_sy);
	__m128d mm_tz = _mm_sub_pd(one,mm_sz);

	__m128d mm_txty = _mm_mul_pd(mm_tx,mm_ty);
	__m128d mm_s = _mm_mul_pd(mm_txty,mm_tz);

	mp = &RTable[Hash1dRTableIndex(ixiy_hash, iz)];
	DBL *mp2 = mp+8;

	__m128d mp_t1 = _mm_loadu_pd(mp + 1);
	__m128d mp_t2 = _mm_loadu_pd(mp2 + 1);
	__m128d mp_t3 =  _mm_load_sd(mp + 4);
	__m128d mp_t4 =  _mm_load_sd(mp2 + 4);
	__m128d mp_t5 =  _mm_load_sd(mp + 6);
	__m128d mp_t6 =  _mm_load_sd(mp2 + 6);

	__m128d mp1_mm = _mm_unpacklo_pd(mp_t1,mp_t2);   // 11
	__m128d mp2_mm= _mm_unpackhi_pd(mp_t1,mp_t2);   // 22

	__m128d mp4_mm = _mm_unpacklo_pd(mp_t3,mp_t4);   // 44
	__m128d mp6_mm = _mm_unpacklo_pd(mp_t5,mp_t6);   // 66

	__m128d sum_X_Y = _mm_macc_pd(ix_mm,mp2_mm,mp1_mm);
	sum_X_Y = _mm_macc_pd(iy_mm,mp4_mm,sum_X_Y);
	sum_X_Y = _mm_macc_pd(iz_mm,mp6_mm,sum_X_Y);
	sum_X_Y = _mm_mul_pd(mm_s,sum_X_Y);

	mp2 = mp2+8;
	mp1_mm = _mm_load_sd(mp2 + 1);
	mp2_mm = _mm_load_sd(mp2 + 2);
	mp4_mm = _mm_load_sd(mp2 + 4);
	mp6_mm = _mm_load_sd(mp2 + 6);


	__m128d sum__Z = _mm_macc_sd(ix_mm,mp2_mm,mp1_mm);
	sum__Z = _mm_macc_sd(iy_mm,mp4_mm,sum__Z);
	sum__Z = _mm_macc_sd(iz_mm,mp6_mm,sum__Z);
	sum__Z = _mm_mul_sd(mm_s,sum__Z);

//2--------------------------------------------------

	mp = &RTable[Hash1dRTableIndex(jxiy_hash, iz)];
	mp2 = mp+8;

	 mp_t1 = _mm_loadu_pd(mp + 1);
	 mp_t2 = _mm_loadu_pd(mp2 + 1);
	 mp_t3 =  _mm_load_sd(mp + 4);
	 mp_t4 =  _mm_load_sd(mp2 + 4);
	 mp_t5 =  _mm_load_sd(mp + 6);
	 mp_t6 =  _mm_load_sd(mp2 + 6);

	__m128d mm_sxty = _mm_mul_pd(mm_sx,mm_ty);
	mm_s = _mm_mul_pd(mm_sxty,mm_tz);


	 mp1_mm = _mm_unpacklo_pd(mp_t1,mp_t2);   // 11
	 mp2_mm= _mm_unpackhi_pd(mp_t1,mp_t2);   // 22

	 mp4_mm = _mm_unpacklo_pd(mp_t3,mp_t4);   // 44
	 mp6_mm = _mm_unpacklo_pd(mp_t5,mp_t6);   // 66

	mp2 = mp2+8;

	__m128d t_sum_X_Y = _mm_macc_pd(jx_mm,mp2_mm,mp1_mm);
	t_sum_X_Y = _mm_macc_pd(iy_mm,mp4_mm,t_sum_X_Y);
	t_sum_X_Y = _mm_macc_pd(iz_mm,mp6_mm,t_sum_X_Y);
	sum_X_Y = _mm_macc_pd(mm_s,t_sum_X_Y,sum_X_Y);


	mp1_mm = _mm_load_sd(mp2 + 1);
	mp2_mm = _mm_load_sd(mp2 + 2);
	mp4_mm = _mm_load_sd(mp2 + 4);
	mp6_mm = _mm_load_sd(mp2 + 6);

	__m128d t_sum__Z = _mm_macc_sd(jx_mm,mp2_mm,mp1_mm);
	t_sum__Z = _mm_macc_sd(iy_mm,mp4_mm,t_sum__Z);
	t_sum__Z = _mm_macc_sd(iz_mm,mp6_mm,t_sum__Z);
	sum__Z = _mm_macc_sd(mm_s,t_sum__Z,sum__Z);

//3---------------------------------------------------------------



	mp = &RTable[Hash1dRTableIndex(jxjy_hash, iz)];
	mp2 = mp+8;

	 mp_t1 = _mm_loadu_pd(mp + 1);
	 mp_t2 = _mm_loadu_pd(mp2 + 1);
	 mp_t3 =  _mm_load_sd(mp + 4);
	 mp_t4 =  _mm_load_sd(mp2 + 4);
	 mp_t5 =  _mm_load_sd(mp + 6);
	 mp_t6 =  _mm_load_sd(mp2 + 6);

	__m128d mm_sxsy = _mm_mul_pd(mm_sx,mm_sy);
	mm_s = _mm_mul_pd(mm_sxsy,mm_tz);

	 mp1_mm = _mm_unpacklo_pd(mp_t1,mp_t2);   // 11
	 mp2_mm= _mm_unpackhi_pd(mp_t1,mp_t2);   // 22

	 mp4_mm = _mm_unpacklo_pd(mp_t3,mp_t4);   // 44
	 mp6_mm = _mm_unpacklo_pd(mp_t5,mp_t6);   // 66

	mp2 = mp2+8;

	t_sum_X_Y = _mm_macc_pd(jx_mm,mp2_mm,mp1_mm);
	t_sum_X_Y = _mm_macc_pd(jy_mm,mp4_mm,t_sum_X_Y);
	t_sum_X_Y = _mm_macc_pd(iz_mm,mp6_mm,t_sum_X_Y);
	sum_X_Y = _mm_macc_pd(mm_s,t_sum_X_Y,sum_X_Y);


	mp1_mm = _mm_load_sd(mp2 + 1);
	mp2_mm = _mm_load_sd(mp2 + 2);
	mp4_mm = _mm_load_sd(mp2 + 4);
	mp6_mm = _mm_load_sd(mp2 + 6);

	t_sum__Z = _mm_macc_sd(jx_mm,mp2_mm,mp1_mm);
	t_sum__Z = _mm_macc_sd(jy_mm,mp4_mm,t_sum__Z);
	t_sum__Z = _mm_macc_sd(iz_mm,mp6_mm,t_sum__Z);
	sum__Z = _mm_macc_sd(mm_s,t_sum__Z,sum__Z);

//4-------------------------------------------------------------------
	mp = &RTable[Hash1dRTableIndex(ixjy_hash, iz)];
	mp2 = mp+8;

	 mp_t1 = _mm_loadu_pd(mp + 1);
	 mp_t2 = _mm_loadu_pd(mp2 + 1);
	 mp_t3 =  _mm_load_sd(mp + 4);
	 mp_t4 =  _mm_load_sd(mp2 + 4);
	 mp_t5 =  _mm_load_sd(mp + 6);
	 mp_t6 =  _mm_load_sd(mp2 + 6);

	__m128d mm_txsy = _mm_mul_pd(mm_tx,mm_sy);
	mm_s = _mm_mul_pd(mm_txsy,mm_tz);

	 mp1_mm = _mm_unpacklo_pd(mp_t1,mp_t2);   // 11
	 mp2_mm= _mm_unpackhi_pd(mp_t1,mp_t2);   // 22

	 mp4_mm = _mm_unpacklo_pd(mp_t3,mp_t4);   // 44
	 mp6_mm = _mm_unpacklo_pd(mp_t5,mp_t6);   // 66
	mp2 = mp2+8;

	t_sum_X_Y = _mm_macc_pd(ix_mm,mp2_mm,mp1_mm);
	t_sum_X_Y = _mm_macc_pd(jy_mm,mp4_mm,t_sum_X_Y);
	t_sum_X_Y = _mm_macc_pd(iz_mm,mp6_mm,t_sum_X_Y);
	sum_X_Y = _mm_macc_pd(mm_s,t_sum_X_Y,sum_X_Y);


	mp1_mm = _mm_load_sd(mp2 + 1);
	mp2_mm = _mm_load_sd(mp2 + 2);
	mp4_mm = _mm_load_sd(mp2 + 4);
	mp6_mm = _mm_load_sd(mp2 + 6);

	t_sum__Z = _mm_macc_sd(ix_mm,mp2_mm,mp1_mm);
	t_sum__Z = _mm_macc_sd(jy_mm,mp4_mm,t_sum__Z);
	t_sum__Z = _mm_macc_sd(iz_mm,mp6_mm,t_sum__Z);
	sum__Z = _mm_macc_sd(mm_s,t_sum__Z,sum__Z);
//5-----------------------------------------------------
	mp = &RTable[Hash1dRTableIndex(ixjy_hash, iz + 1)];
	mp2 = mp+8;

	 mp_t1 = _mm_loadu_pd(mp + 1);
	 mp_t2 = _mm_loadu_pd(mp2 + 1);
	 mp_t3 =  _mm_load_sd(mp + 4);
	 mp_t4 =  _mm_load_sd(mp2 + 4);
	 mp_t5 =  _mm_load_sd(mp + 6);
	 mp_t6 =  _mm_load_sd(mp2 + 6);

	mm_s = _mm_mul_pd(mm_txsy,mm_sz);

	 mp1_mm = _mm_unpacklo_pd(mp_t1,mp_t2);   // 11
	 mp2_mm= _mm_unpackhi_pd(mp_t1,mp_t2);   // 22

	 mp4_mm = _mm_unpacklo_pd(mp_t3,mp_t4);   // 44
	 mp6_mm = _mm_unpacklo_pd(mp_t5,mp_t6);   // 66
	mp2 = mp2+8;

	t_sum_X_Y = _mm_macc_pd(ix_mm,mp2_mm,mp1_mm);
	t_sum_X_Y = _mm_macc_pd(jy_mm,mp4_mm,t_sum_X_Y);
	t_sum_X_Y = _mm_macc_pd(jz_mm,mp6_mm,t_sum_X_Y);
	sum_X_Y = _mm_macc_pd(mm_s,t_sum_X_Y,sum_X_Y);


	mp1_mm = _mm_load_sd(mp2 + 1);
	mp2_mm = _mm_load_sd(mp2 + 2);
	mp4_mm = _mm_load_sd(mp2 + 4);
	mp6_mm = _mm_load_sd(mp2 + 6);

	t_sum__Z = _mm_macc_sd(ix_mm,mp2_mm,mp1_mm);
	t_sum__Z = _mm_macc_sd(jy_mm,mp4_mm,t_sum__Z);
	t_sum__Z = _mm_macc_sd(jz_mm,mp6_mm,t_sum__Z);
	sum__Z = _mm_macc_sd(mm_s,t_sum__Z,sum__Z);

//6------------------
	mp = &RTable[Hash1dRTableIndex(jxjy_hash, iz + 1)];
	mp2 = mp+8;

	 mp_t1 = _mm_loadu_pd(mp + 1);
	 mp_t2 = _mm_loadu_pd(mp2 + 1);
	 mp_t3 =  _mm_load_sd(mp + 4);
	 mp_t4 =  _mm_load_sd(mp2 + 4);
	 mp_t5 =  _mm_load_sd(mp + 6);
	 mp_t6 =  _mm_load_sd(mp2 + 6);

	mm_s = _mm_mul_pd(mm_sxsy,mm_sz);

	 mp1_mm = _mm_unpacklo_pd(mp_t1,mp_t2);   // 11
	 mp2_mm= _mm_unpackhi_pd(mp_t1,mp_t2);   // 22

	 mp4_mm = _mm_unpacklo_pd(mp_t3,mp_t4);   // 44
	 mp6_mm = _mm_unpacklo_pd(mp_t5,mp_t6);   // 66

	 mp2 = mp2+8;

	t_sum_X_Y = _mm_macc_pd(jx_mm,mp2_mm,mp1_mm);
	t_sum_X_Y = _mm_macc_pd(jy_mm,mp4_mm,t_sum_X_Y);
	t_sum_X_Y = _mm_macc_pd(jz_mm,mp6_mm,t_sum_X_Y);
	sum_X_Y = _mm_macc_pd(mm_s,t_sum_X_Y,sum_X_Y);


	mp1_mm = _mm_load_sd(mp2 + 1);
	mp2_mm = _mm_load_sd(mp2 + 2);
	mp4_mm = _mm_load_sd(mp2 + 4);
	mp6_mm = _mm_load_sd(mp2 + 6);

	t_sum__Z = _mm_macc_sd(jx_mm,mp2_mm,mp1_mm);
	t_sum__Z = _mm_macc_sd(jy_mm,mp4_mm,t_sum__Z);
	t_sum__Z = _mm_macc_sd(jz_mm,mp6_mm,t_sum__Z);
	sum__Z = _mm_macc_sd(mm_s,t_sum__Z,sum__Z);

//7-----------
	mp = &RTable[Hash1dRTableIndex(jxiy_hash, iz + 1)];
	mp2 = mp+8;

	 mp_t1 = _mm_loadu_pd(mp + 1);
	 mp_t2 = _mm_loadu_pd(mp2 + 1);
	 mp_t3 =  _mm_load_sd(mp + 4);
	 mp_t4 =  _mm_load_sd(mp2 + 4);
	 mp_t5 =  _mm_load_sd(mp + 6);
	 mp_t6 =  _mm_load_sd(mp2 + 6);

	mm_s = _mm_mul_pd(mm_sxty,mm_sz);

	 mp1_mm = _mm_unpacklo_pd(mp_t1,mp_t2);   // 11
	 mp2_mm= _mm_unpackhi_pd(mp_t1,mp_t2);   // 22

	 mp4_mm = _mm_unpacklo_pd(mp_t3,mp_t4);   // 44
	 mp6_mm = _mm_unpacklo_pd(mp_t5,mp_t6);   // 66
	 mp2 = mp2+8;
	t_sum_X_Y = _mm_macc_pd(jx_mm,mp2_mm,mp1_mm);
	t_sum_X_Y = _mm_macc_pd(iy_mm,mp4_mm,t_sum_X_Y);
	t_sum_X_Y = _mm_macc_pd(jz_mm,mp6_mm,t_sum_X_Y);
	sum_X_Y = _mm_macc_pd(mm_s,t_sum_X_Y,sum_X_Y);


	mp1_mm = _mm_load_sd(mp2 + 1);
	mp2_mm = _mm_load_sd(mp2 + 2);
	mp4_mm = _mm_load_sd(mp2 + 4);
	mp6_mm = _mm_load_sd(mp2 + 6);

	t_sum__Z = _mm_macc_sd(jx_mm,mp2_mm,mp1_mm);
	t_sum__Z = _mm_macc_sd(iy_mm,mp4_mm,t_sum__Z);
	t_sum__Z = _mm_macc_sd(jz_mm,mp6_mm,t_sum__Z);
	sum__Z = _mm_macc_sd(mm_s,t_sum__Z,sum__Z);

//8--------------


	mp = &RTable[Hash1dRTableIndex(ixiy_hash, iz + 1)];
	mp2 = mp+8;

	 mp_t1 = _mm_loadu_pd(mp + 1);
	 mp_t2 = _mm_loadu_pd(mp2 + 1);
	 mp_t3 =  _mm_load_sd(mp + 4);
	 mp_t4 =  _mm_load_sd(mp2 + 4);
	 mp_t5 =  _mm_load_sd(mp + 6);
	 mp_t6 =  _mm_load_sd(mp2 + 6);

	mm_s = _mm_mul_pd(mm_txty,mm_sz);

	 mp1_mm = _mm_unpacklo_pd(mp_t1,mp_t2);   // 11
	 mp2_mm= _mm_unpackhi_pd(mp_t1,mp_t2);   // 22

	 mp4_mm = _mm_unpacklo_pd(mp_t3,mp_t4);   // 44
	 mp6_mm = _mm_unpacklo_pd(mp_t5,mp_t6);   // 66

	mp2 = mp2+8;

	t_sum_X_Y = _mm_macc_pd(ix_mm,mp2_mm,mp1_mm);
	t_sum_X_Y = _mm_macc_pd(iy_mm,mp4_mm,t_sum_X_Y);
	t_sum_X_Y = _mm_macc_pd(jz_mm,mp6_mm,t_sum_X_Y);
	sum_X_Y = _mm_macc_pd(mm_s,t_sum_X_Y,sum_X_Y);


	mp1_mm = _mm_load_sd(mp2 + 1);
	mp2_mm = _mm_load_sd(mp2 + 2);
	mp4_mm = _mm_load_sd(mp2 + 4);
	mp6_mm = _mm_load_sd(mp2 + 6);

	t_sum__Z = _mm_macc_sd(ix_mm,mp2_mm,mp1_mm);
	t_sum__Z = _mm_macc_sd(iy_mm,mp4_mm,t_sum__Z);
	t_sum__Z = _mm_macc_sd(jz_mm,mp6_mm,t_sum__Z);
	sum__Z = _mm_macc_sd(mm_s,t_sum__Z,sum__Z);

	_mm_storeu_pd(result,sum_X_Y);
	
	_mm_store_sd(&result[Z],sum__Z);

}

#endif


}
