source: cpp/frams/model/autoname.cpp @ 180

// This file is a part of the Framsticks GDK.
// Copyright (C) 2002-2014  Maciej Komosinski and Szymon Ulatowski.  See LICENSE.txt for details.
// Refer to http://www.framsticks.com/ for further information.

#include "autoname.h"
#include "common/nonstd_stl.h"
#include <ctype.h>

SString AutoName::makeName(Model &model)
{
SString t;
t=firstName(model);
t+=' ';
t+=lastName(model);
return t;
}

///////////////////////////

static char* cat_syl(char* str,unsigned int x)
{
static char sp[]="bcdfghklmnprstwz",sa[]="aeiouy";
x%=6*16;
str[0]=sa[x%6];
if (x>5)
        {str[1]=sp[x/6]; str[2]=0; return str+2;}
else
        {str[1]=0; return str+1;}
}

SString AutoName::firstName(Model& model)
{
char buf[8];
unsigned int s1=0,s2=0,s3=0;
const char *x=model.getGeno().getGene();
for (;*x;x++) { s1+=*x; s2=s2**x+*x; s3=(s3^*x)+*x; }
char* t=buf;
t=cat_syl(t,s1);
t=cat_syl(t,s2);
t=cat_syl(t,s3);
buf[0]=(char)toupper(buf[0]);
return SString(buf);
}

static void przeplatanka(char *out,char *in1,char *in2)
{
int d1=strlen(in1),d2=strlen(in2);
int p1=0,p2=0;
int pp=d1+d2;
int i,p;
if (d2<d1)
        {
        int t=d2; d2=d1; d1=t;
        char *c=in1; in1=in2; in2=c;
        }
if (pp)
for (i=0;i<=pp;i++)
        {
        p=(i*d1)/pp-1; for (;p1<=p;p1++) *(out++)=*(in1++);
        p=(i*d2)/pp-1; for (;p2<=p;p2++) *(out++)=*(in2++);
        }
*out=0;
}

SString AutoName::lastName(Model& model)
{
char Sam[]="yeaou";
char Sp[]="shtkdgmr";

#define NAME_MAXLENBODY 5
#define NAME_MAXLENBRAIN 5
#define NAME_BODYLEN 0.8
#define NAME_BRAINLEN 0.8
#define NAME_BODYMASS 1.0
#define NAME_BRAININP 1.0

char naz[NAME_MAXLENBODY+NAME_MAXLENBRAIN+1];
int poz,nextpoz,i;

double w;
int cialo=-1;
int mozg=-1;

char tmpc[NAME_MAXLENBODY+1],tmpm[NAME_MAXLENBRAIN+1];

if (model.getPartCount()>0)
{
cialo=min((int)(sqrt(double(model.getPartCount())-1)*NAME_BODYLEN),NAME_MAXLENBODY-1);
poz=0;
for (i=0;i<=cialo;i++) // budowanie "opisu" ciala
        {
        nextpoz=((model.getPartCount())*(i+1))/(cialo+1)-1;
        w=1.0;
        for (;poz<=nextpoz;poz++) w=max(w,model.getPart(poz)->mass);
        tmpc[i]=Sp[min(int((w-1.0)*NAME_BODYMASS),int(sizeof(Sp))-2)];
        }
tmpc[i]=0;
}
else tmpc[0]=0;

int wint;

if (model.getNeuroCount()>0)
{
mozg=min((int)(sqrt((double)model.getNeuroCount())*NAME_BRAINLEN),NAME_MAXLENBRAIN-1);
poz=0;
for (i=0;i<=mozg;i++) // budowanie "opisu" mozgu
        {
        nextpoz=(model.getNeuroCount()*(i+1))/(mozg+1)-1;
        wint=0;
        for (;poz<=nextpoz;poz++) wint=max(wint,model.getNeuro(poz)->getInputCount());
        tmpm[i]=Sam[min(int(wint*NAME_BRAININP),int(sizeof(Sam))-2)];
        }
tmpm[i]=0;
}
else tmpm[0]=0;

if ((mozg+1) < ((cialo+2)/2))
        {
        for (i=mozg+1;i<=cialo/2;i++) tmpm[i]='i';
        tmpm[i]=0;
        }

przeplatanka(naz,tmpc,tmpm);

naz[0]=(char)toupper(naz[0]);
return SString(naz);
}