* GOVERNED BY A BSD-STYLE SOURCE LICENSE INCLUDED WITH THIS SOURCE *
* IN 'COPYING'. PLEASE READ THESE TERMS BEFORE DISTRIBUTING. *
* *
- * THE OggVorbis SOURCE CODE IS (C) COPYRIGHT 1994-2007 *
+ * THE OggVorbis SOURCE CODE IS (C) COPYRIGHT 1994-2009 *
* by the Xiph.Org Foundation http://www.xiph.org/ *
* *
********************************************************************
#define floor1_rangedB 140 /* floor 1 fixed at -140dB to 0dB range */
typedef struct lsfit_acc{
- long x0;
- long x1;
-
- long xa;
- long ya;
- long x2a;
- long y2a;
- long xya;
- long an;
+ int x0;
+ int x1;
+
+ int xa;
+ int ya;
+ int x2a;
+ int y2a;
+ int xya;
+ int an;
+
+ int xb;
+ int yb;
+ int x2b;
+ int y2b;
+ int xyb;
+ int bn;
} lsfit_acc;
/***********************************************/
-
+
static void floor1_free_info(vorbis_info_floor *i){
vorbis_info_floor1 *info=(vorbis_info_floor1 *)i;
if(info){
}
/* save out the post list */
- oggpack_write(opb,info->mult-1,2); /* only 1,2,3,4 legal now */
+ oggpack_write(opb,info->mult-1,2); /* only 1,2,3,4 legal now */
oggpack_write(opb,ilog2(maxposit),4);
rangebits=ilog2(maxposit);
for(j=0,k=0;j<info->partitions;j++){
- count+=info->class_dim[info->partitionclass[j]];
+ count+=info->class_dim[info->partitionclass[j]];
for(;k<count;k++)
oggpack_write(opb,info->postlist[k+2],rangebits);
}
}
/* read the post list */
- info->mult=oggpack_read(opb,2)+1; /* only 1,2,3,4 legal now */
+ info->mult=oggpack_read(opb,2)+1; /* only 1,2,3,4 legal now */
rangebits=oggpack_read(opb,4);
if(rangebits<0)goto err_out;
for(j=0,k=0;j<info->partitions;j++){
- count+=info->class_dim[info->partitionclass[j]];
+ count+=info->class_dim[info->partitionclass[j]];
for(;k<count;k++){
int t=info->postlist[k+2]=oggpack_read(opb,rangebits);
if(t<0 || t>=(1<<rangebits))
look->vi=info;
look->n=info->postlist[1];
-
+
/* we drop each position value in-between already decoded values,
and use linear interpolation to predict each new value past the
edges. The positions are read in the order of the position
}
static const float FLOOR1_fromdB_LOOKUP[256]={
- 1.0649863e-07F, 1.1341951e-07F, 1.2079015e-07F, 1.2863978e-07F,
- 1.3699951e-07F, 1.4590251e-07F, 1.5538408e-07F, 1.6548181e-07F,
- 1.7623575e-07F, 1.8768855e-07F, 1.9988561e-07F, 2.128753e-07F,
- 2.2670913e-07F, 2.4144197e-07F, 2.5713223e-07F, 2.7384213e-07F,
- 2.9163793e-07F, 3.1059021e-07F, 3.3077411e-07F, 3.5226968e-07F,
- 3.7516214e-07F, 3.9954229e-07F, 4.2550680e-07F, 4.5315863e-07F,
- 4.8260743e-07F, 5.1396998e-07F, 5.4737065e-07F, 5.8294187e-07F,
- 6.2082472e-07F, 6.6116941e-07F, 7.0413592e-07F, 7.4989464e-07F,
- 7.9862701e-07F, 8.5052630e-07F, 9.0579828e-07F, 9.6466216e-07F,
- 1.0273513e-06F, 1.0941144e-06F, 1.1652161e-06F, 1.2409384e-06F,
- 1.3215816e-06F, 1.4074654e-06F, 1.4989305e-06F, 1.5963394e-06F,
- 1.7000785e-06F, 1.8105592e-06F, 1.9282195e-06F, 2.0535261e-06F,
- 2.1869758e-06F, 2.3290978e-06F, 2.4804557e-06F, 2.6416497e-06F,
- 2.8133190e-06F, 2.9961443e-06F, 3.1908506e-06F, 3.3982101e-06F,
- 3.6190449e-06F, 3.8542308e-06F, 4.1047004e-06F, 4.3714470e-06F,
- 4.6555282e-06F, 4.9580707e-06F, 5.2802740e-06F, 5.6234160e-06F,
- 5.9888572e-06F, 6.3780469e-06F, 6.7925283e-06F, 7.2339451e-06F,
- 7.7040476e-06F, 8.2047000e-06F, 8.7378876e-06F, 9.3057248e-06F,
- 9.9104632e-06F, 1.0554501e-05F, 1.1240392e-05F, 1.1970856e-05F,
- 1.2748789e-05F, 1.3577278e-05F, 1.4459606e-05F, 1.5399272e-05F,
- 1.6400004e-05F, 1.7465768e-05F, 1.8600792e-05F, 1.9809576e-05F,
- 2.1096914e-05F, 2.2467911e-05F, 2.3928002e-05F, 2.5482978e-05F,
- 2.7139006e-05F, 2.8902651e-05F, 3.0780908e-05F, 3.2781225e-05F,
- 3.4911534e-05F, 3.7180282e-05F, 3.9596466e-05F, 4.2169667e-05F,
- 4.4910090e-05F, 4.7828601e-05F, 5.0936773e-05F, 5.4246931e-05F,
- 5.7772202e-05F, 6.1526565e-05F, 6.5524908e-05F, 6.9783085e-05F,
- 7.4317983e-05F, 7.9147585e-05F, 8.4291040e-05F, 8.9768747e-05F,
- 9.5602426e-05F, 0.00010181521F, 0.00010843174F, 0.00011547824F,
- 0.00012298267F, 0.00013097477F, 0.00013948625F, 0.00014855085F,
- 0.00015820453F, 0.00016848555F, 0.00017943469F, 0.00019109536F,
- 0.00020351382F, 0.00021673929F, 0.00023082423F, 0.00024582449F,
- 0.00026179955F, 0.00027881276F, 0.00029693158F, 0.00031622787F,
- 0.00033677814F, 0.00035866388F, 0.00038197188F, 0.00040679456F,
- 0.00043323036F, 0.00046138411F, 0.00049136745F, 0.00052329927F,
- 0.00055730621F, 0.00059352311F, 0.00063209358F, 0.00067317058F,
- 0.00071691700F, 0.00076350630F, 0.00081312324F, 0.00086596457F,
- 0.00092223983F, 0.00098217216F, 0.0010459992F, 0.0011139742F,
- 0.0011863665F, 0.0012634633F, 0.0013455702F, 0.0014330129F,
- 0.0015261382F, 0.0016253153F, 0.0017309374F, 0.0018434235F,
- 0.0019632195F, 0.0020908006F, 0.0022266726F, 0.0023713743F,
- 0.0025254795F, 0.0026895994F, 0.0028643847F, 0.0030505286F,
- 0.0032487691F, 0.0034598925F, 0.0036847358F, 0.0039241906F,
- 0.0041792066F, 0.0044507950F, 0.0047400328F, 0.0050480668F,
- 0.0053761186F, 0.0057254891F, 0.0060975636F, 0.0064938176F,
- 0.0069158225F, 0.0073652516F, 0.0078438871F, 0.0083536271F,
- 0.0088964928F, 0.009474637F, 0.010090352F, 0.010746080F,
- 0.011444421F, 0.012188144F, 0.012980198F, 0.013823725F,
- 0.014722068F, 0.015678791F, 0.016697687F, 0.017782797F,
- 0.018938423F, 0.020169149F, 0.021479854F, 0.022875735F,
- 0.024362330F, 0.025945531F, 0.027631618F, 0.029427276F,
- 0.031339626F, 0.033376252F, 0.035545228F, 0.037855157F,
- 0.040315199F, 0.042935108F, 0.045725273F, 0.048696758F,
- 0.051861348F, 0.055231591F, 0.058820850F, 0.062643361F,
- 0.066714279F, 0.071049749F, 0.075666962F, 0.080584227F,
- 0.085821044F, 0.091398179F, 0.097337747F, 0.10366330F,
- 0.11039993F, 0.11757434F, 0.12521498F, 0.13335215F,
- 0.14201813F, 0.15124727F, 0.16107617F, 0.17154380F,
- 0.18269168F, 0.19456402F, 0.20720788F, 0.22067342F,
- 0.23501402F, 0.25028656F, 0.26655159F, 0.28387361F,
- 0.30232132F, 0.32196786F, 0.34289114F, 0.36517414F,
- 0.38890521F, 0.41417847F, 0.44109412F, 0.46975890F,
- 0.50028648F, 0.53279791F, 0.56742212F, 0.60429640F,
- 0.64356699F, 0.68538959F, 0.72993007F, 0.77736504F,
- 0.82788260F, 0.88168307F, 0.9389798F, 1.F,
+ 1.0649863e-07F, 1.1341951e-07F, 1.2079015e-07F, 1.2863978e-07F,
+ 1.3699951e-07F, 1.4590251e-07F, 1.5538408e-07F, 1.6548181e-07F,
+ 1.7623575e-07F, 1.8768855e-07F, 1.9988561e-07F, 2.128753e-07F,
+ 2.2670913e-07F, 2.4144197e-07F, 2.5713223e-07F, 2.7384213e-07F,
+ 2.9163793e-07F, 3.1059021e-07F, 3.3077411e-07F, 3.5226968e-07F,
+ 3.7516214e-07F, 3.9954229e-07F, 4.2550680e-07F, 4.5315863e-07F,
+ 4.8260743e-07F, 5.1396998e-07F, 5.4737065e-07F, 5.8294187e-07F,
+ 6.2082472e-07F, 6.6116941e-07F, 7.0413592e-07F, 7.4989464e-07F,
+ 7.9862701e-07F, 8.5052630e-07F, 9.0579828e-07F, 9.6466216e-07F,
+ 1.0273513e-06F, 1.0941144e-06F, 1.1652161e-06F, 1.2409384e-06F,
+ 1.3215816e-06F, 1.4074654e-06F, 1.4989305e-06F, 1.5963394e-06F,
+ 1.7000785e-06F, 1.8105592e-06F, 1.9282195e-06F, 2.0535261e-06F,
+ 2.1869758e-06F, 2.3290978e-06F, 2.4804557e-06F, 2.6416497e-06F,
+ 2.8133190e-06F, 2.9961443e-06F, 3.1908506e-06F, 3.3982101e-06F,
+ 3.6190449e-06F, 3.8542308e-06F, 4.1047004e-06F, 4.3714470e-06F,
+ 4.6555282e-06F, 4.9580707e-06F, 5.2802740e-06F, 5.6234160e-06F,
+ 5.9888572e-06F, 6.3780469e-06F, 6.7925283e-06F, 7.2339451e-06F,
+ 7.7040476e-06F, 8.2047000e-06F, 8.7378876e-06F, 9.3057248e-06F,
+ 9.9104632e-06F, 1.0554501e-05F, 1.1240392e-05F, 1.1970856e-05F,
+ 1.2748789e-05F, 1.3577278e-05F, 1.4459606e-05F, 1.5399272e-05F,
+ 1.6400004e-05F, 1.7465768e-05F, 1.8600792e-05F, 1.9809576e-05F,
+ 2.1096914e-05F, 2.2467911e-05F, 2.3928002e-05F, 2.5482978e-05F,
+ 2.7139006e-05F, 2.8902651e-05F, 3.0780908e-05F, 3.2781225e-05F,
+ 3.4911534e-05F, 3.7180282e-05F, 3.9596466e-05F, 4.2169667e-05F,
+ 4.4910090e-05F, 4.7828601e-05F, 5.0936773e-05F, 5.4246931e-05F,
+ 5.7772202e-05F, 6.1526565e-05F, 6.5524908e-05F, 6.9783085e-05F,
+ 7.4317983e-05F, 7.9147585e-05F, 8.4291040e-05F, 8.9768747e-05F,
+ 9.5602426e-05F, 0.00010181521F, 0.00010843174F, 0.00011547824F,
+ 0.00012298267F, 0.00013097477F, 0.00013948625F, 0.00014855085F,
+ 0.00015820453F, 0.00016848555F, 0.00017943469F, 0.00019109536F,
+ 0.00020351382F, 0.00021673929F, 0.00023082423F, 0.00024582449F,
+ 0.00026179955F, 0.00027881276F, 0.00029693158F, 0.00031622787F,
+ 0.00033677814F, 0.00035866388F, 0.00038197188F, 0.00040679456F,
+ 0.00043323036F, 0.00046138411F, 0.00049136745F, 0.00052329927F,
+ 0.00055730621F, 0.00059352311F, 0.00063209358F, 0.00067317058F,
+ 0.00071691700F, 0.00076350630F, 0.00081312324F, 0.00086596457F,
+ 0.00092223983F, 0.00098217216F, 0.0010459992F, 0.0011139742F,
+ 0.0011863665F, 0.0012634633F, 0.0013455702F, 0.0014330129F,
+ 0.0015261382F, 0.0016253153F, 0.0017309374F, 0.0018434235F,
+ 0.0019632195F, 0.0020908006F, 0.0022266726F, 0.0023713743F,
+ 0.0025254795F, 0.0026895994F, 0.0028643847F, 0.0030505286F,
+ 0.0032487691F, 0.0034598925F, 0.0036847358F, 0.0039241906F,
+ 0.0041792066F, 0.0044507950F, 0.0047400328F, 0.0050480668F,
+ 0.0053761186F, 0.0057254891F, 0.0060975636F, 0.0064938176F,
+ 0.0069158225F, 0.0073652516F, 0.0078438871F, 0.0083536271F,
+ 0.0088964928F, 0.009474637F, 0.010090352F, 0.010746080F,
+ 0.011444421F, 0.012188144F, 0.012980198F, 0.013823725F,
+ 0.014722068F, 0.015678791F, 0.016697687F, 0.017782797F,
+ 0.018938423F, 0.020169149F, 0.021479854F, 0.022875735F,
+ 0.024362330F, 0.025945531F, 0.027631618F, 0.029427276F,
+ 0.031339626F, 0.033376252F, 0.035545228F, 0.037855157F,
+ 0.040315199F, 0.042935108F, 0.045725273F, 0.048696758F,
+ 0.051861348F, 0.055231591F, 0.058820850F, 0.062643361F,
+ 0.066714279F, 0.071049749F, 0.075666962F, 0.080584227F,
+ 0.085821044F, 0.091398179F, 0.097337747F, 0.10366330F,
+ 0.11039993F, 0.11757434F, 0.12521498F, 0.13335215F,
+ 0.14201813F, 0.15124727F, 0.16107617F, 0.17154380F,
+ 0.18269168F, 0.19456402F, 0.20720788F, 0.22067342F,
+ 0.23501402F, 0.25028656F, 0.26655159F, 0.28387361F,
+ 0.30232132F, 0.32196786F, 0.34289114F, 0.36517414F,
+ 0.38890521F, 0.41417847F, 0.44109412F, 0.46975890F,
+ 0.50028648F, 0.53279791F, 0.56742212F, 0.60429640F,
+ 0.64356699F, 0.68538959F, 0.72993007F, 0.77736504F,
+ 0.82788260F, 0.88168307F, 0.9389798F, 1.F,
};
static void render_line(int n, int x0,int x1,int y0,int y1,float *d){
}
}
-static void render_line0(int x0,int x1,int y0,int y1,int *d){
+static void render_line0(int n, int x0,int x1,int y0,int y1,int *d){
int dy=y1-y0;
int adx=x1-x0;
int ady=abs(dy);
ady-=abs(base*adx);
- d[x]=y;
- while(++x<x1){
+ if(n>x1)n=x1;
+
+ if(x<n)
+ d[x]=y;
+
+ while(++x<n){
err=err+ady;
if(err>=adx){
err-=adx;
int n,vorbis_info_floor1 *info){
long i;
- long xa=0,ya=0,x2a=0,y2a=0,xya=0,na=0, xb=0,yb=0,x2b=0,y2b=0,xyb=0,nb=0;
+ int xa=0,ya=0,x2a=0,y2a=0,xya=0,na=0, xb=0,yb=0,x2b=0,y2b=0,xyb=0,nb=0;
memset(a,0,sizeof(*a));
a->x0=x0;
}
}
- xb+=xa;
- yb+=ya;
- x2b+=x2a;
- y2b+=y2a;
- xyb+=xya;
- nb+=na;
+ a->xa=xa;
+ a->ya=ya;
+ a->x2a=x2a;
+ a->y2a=y2a;
+ a->xya=xya;
+ a->an=na;
- /* weight toward the actually used frequencies if we meet the threshhold */
- {
- int weight=nb*info->twofitweight/(na+1);
-
- a->xa=xa*weight+xb;
- a->ya=ya*weight+yb;
- a->x2a=x2a*weight+x2b;
- a->y2a=y2a*weight+y2b;
- a->xya=xya*weight+xyb;
- a->an=na*weight+nb;
- }
+ a->xb=xb;
+ a->yb=yb;
+ a->x2b=x2b;
+ a->y2b=y2b;
+ a->xyb=xyb;
+ a->bn=nb;
return(na);
}
-static int fit_line(lsfit_acc *a,int fits,int *y0,int *y1){
- long x=0,y=0,x2=0,y2=0,xy=0,an=0,i;
- long x0=a[0].x0;
- long x1=a[fits-1].x1;
+static int fit_line(lsfit_acc *a,int fits,int *y0,int *y1,
+ vorbis_info_floor1 *info){
+ double xb=0,yb=0,x2b=0,y2b=0,xyb=0,bn=0;
+ int i;
+ int x0=a[0].x0;
+ int x1=a[fits-1].x1;
for(i=0;i<fits;i++){
- x+=a[i].xa;
- y+=a[i].ya;
- x2+=a[i].x2a;
- y2+=a[i].y2a;
- xy+=a[i].xya;
- an+=a[i].an;
+ double weight = (a[i].bn+a[i].an)*info->twofitweight/(a[i].an+1)+1.;
+
+ xb+=a[i].xb + a[i].xa * weight;
+ yb+=a[i].yb + a[i].ya * weight;
+ x2b+=a[i].x2b + a[i].x2a * weight;
+ y2b+=a[i].y2b + a[i].y2a * weight;
+ xyb+=a[i].xyb + a[i].xya * weight;
+ bn+=a[i].bn + a[i].an * weight;
}
if(*y0>=0){
- x+= x0;
- y+= *y0;
- x2+= x0 * x0;
- y2+= *y0 * *y0;
- xy+= *y0 * x0;
- an++;
+ xb+= x0;
+ yb+= *y0;
+ x2b+= x0 * x0;
+ y2b+= *y0 * *y0;
+ xyb+= *y0 * x0;
+ bn++;
}
if(*y1>=0){
- x+= x1;
- y+= *y1;
- x2+= x1 * x1;
- y2+= *y1 * *y1;
- xy+= *y1 * x1;
- an++;
+ xb+= x1;
+ yb+= *y1;
+ x2b+= x1 * x1;
+ y2b+= *y1 * *y1;
+ xyb+= *y1 * x1;
+ bn++;
}
{
- /* need 64 bit multiplies, which C doesn't give portably as int */
- double fx=x;
- double fx2=x2;
- double denom=(an*fx2-fx*fx);
+ double denom=(bn*x2b-xb*xb);
if(denom>0.){
- double fy=y;
- double fxy=xy;
-
- double a=(fy*fx2-fxy*fx)/denom;
- double b=(an*fxy-fx*fy)/denom;
+ double a=(yb*x2b-xyb*xb)/denom;
+ double b=(bn*xyb-xb*yb)/denom;
*y0=rint(a+b*x0);
*y1=rint(a+b*x1);
if(*y1>1023)*y1=1023;
if(*y0<0)*y0=0;
if(*y1<0)*y1=0;
-
+
return 0;
}else{
*y0=0;
}
}
-/*static void fit_line_point(lsfit_acc *a,int fits,int *y0,int *y1){
- long y=0;
- int i;
-
- for(i=0;i<fits && y==0;i++)
- y+=a[i].ya;
-
- *y0=*y1=y;
- }*/
-
static int inspect_error(int x0,int x1,int y0,int y1,const float *mask,
const float *mdct,
vorbis_info_floor1 *info){
int fit_valueB[VIF_POSIT+2]; /* index by range list position */
int loneighbor[VIF_POSIT+2]; /* sorted index of range list position (+2) */
- int hineighbor[VIF_POSIT+2];
+ int hineighbor[VIF_POSIT+2];
int *output=NULL;
int memo[VIF_POSIT+2];
look->sorted_index[i+1],fits+i,
n,info);
}
-
+
if(nonzero){
/* start by fitting the implicit base case.... */
int y0=-200;
int y1=-200;
- fit_line(fits,posts-1,&y0,&y1);
+ fit_line(fits,posts-1,&y0,&y1,info);
fit_valueA[0]=y0;
fit_valueB[0]=y0;
int lsortpos=look->reverse_index[ln];
int hsortpos=look->reverse_index[hn];
memo[ln]=hn;
-
+
{
/* A note: we want to bound/minimize *local*, not global, error */
int lx=info->postlist[ln];
- int hx=info->postlist[hn];
+ int hx=info->postlist[hn];
int ly=post_Y(fit_valueA,fit_valueB,ln);
int hy=post_Y(fit_valueA,fit_valueB,hn);
int ly1=-200;
int hy0=-200;
int hy1=-200;
- int ret0=fit_line(fits+lsortpos,sortpos-lsortpos,&ly0,&ly1);
- int ret1=fit_line(fits+sortpos,hsortpos-sortpos,&hy0,&hy1);
+ int ret0=fit_line(fits+lsortpos,sortpos-lsortpos,&ly0,&ly1,info);
+ int ret1=fit_line(fits+sortpos,hsortpos-sortpos,&hy0,&hy1,info);
if(ret0){
ly0=ly;
fit_valueB[i]=hy0;
fit_valueA[hn]=hy1;
if(hn==1)fit_valueB[hn]=hy1;
-
+
if(ly1>=0 || hy0>=0){
/* store new neighbor values */
for(j=sortpos-1;j>=0;j--)
int predicted=render_point(x0,x1,y0,y1,info->postlist[i]);
int vx=post_Y(fit_valueA,fit_valueB,i);
- if(vx>=0 && predicted!=vx){
+ if(vx>=0 && predicted!=vx){
output[i]=vx;
}else{
output[i]= predicted|0x8000;
return(output);
}
-
+
int *floor1_interpolate_fit(vorbis_block *vb,vorbis_look_floor1 *look,
int *A,int *B,
int del){
}else{
int headroom=(look->quant_q-predicted<predicted?
look->quant_q-predicted:predicted);
-
+
int val=post[i]-predicted;
-
+
/* at this point the 'deviation' value is in the range +/- max
range, but the real, unique range can always be mapped to
only [0-maxrange). So we want to wrap the deviation into
this limited range, but do it in the way that least screws
an essentially gaussian probability distribution. */
-
+
if(val<0)
if(val<-headroom)
val=headroom-val-1;
val= val+headroom;
else
val<<=1;
-
+
out[i]=val;
post[ln]&=0x7fff;
post[hn]&=0x7fff;
/* write it */
look->phrasebits+=
vorbis_book_encode(books+info->class_book[class],cval,opb);
-
+
#ifdef TRAIN_FLOOR1
{
FILE *of;
}
#endif
}
-
+
/* write post values */
for(k=0;k<cdim;k++){
int book=info->class_subbook[class][bookas[k]];
int hx=0;
int lx=0;
int ly=post[0]*info->mult;
+ int n=ci->blocksizes[vb->W]/2;
+
for(j=1;j<look->posts;j++){
int current=look->forward_index[j];
int hy=post[current]&0x7fff;
hy*=info->mult;
hx=info->postlist[current];
-
- render_line0(lx,hx,ly,hy,ilogmask);
-
+
+ render_line0(n,lx,hx,ly,hy,ilogmask);
+
lx=hx;
ly=hy;
}
}
}
- fit_value[i]=val+predicted;
+ fit_value[i]=val+predicted&0x7fff;
fit_value[look->loneighbor[i-2]]&=0x7fff;
fit_value[look->hineighbor[i-2]]&=0x7fff;
}else{
fit_value[i]=predicted|0x8000;
}
-
+
}
return(fit_value);
int hx=0;
int lx=0;
int ly=fit_value[0]*info->mult;
+ /* guard lookup against out-of-range values */
+ ly=(ly<0?0:ly>255?255:ly);
+
for(j=1;j<look->posts;j++){
int current=look->forward_index[j];
int hy=fit_value[current]&0x7fff;
if(hy==fit_value[current]){
-
- hy*=info->mult;
+
hx=info->postlist[current];
-
+ hy*=info->mult;
+ /* guard lookup against out-of-range values */
+ hy=(hy<0?0:hy>255?255:hy);
+
render_line(n,lx,hx,ly,hy,out);
-
+
lx=hx;
ly=hy;
}