[3] | 1 | // This file is a part of Framsticks GenoFX library.
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| 2 | // Copyright (C) 2002-2009 Maciej Komosinski. See LICENSE.txt for details.
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| 3 | // Refer to http://www.framsticks.com/ for further information.
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| 4 |
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| 5 | #include <ctype.h> //isupper()
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| 6 | #include "geno_fx.h"
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| 7 | #include "framsg.h"
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| 8 | #include "rndutil.h"
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| 9 |
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| 10 | int Geno_fx::roulette(const double *probtab,const int count)
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| 11 | {
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| 12 | double sum=0;
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| 13 | int i;
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| 14 | for (i=0;i<count;i++) sum+=probtab[i];
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| 15 | double sel=rnd01*sum;
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| 16 | for (sum=0,i=0;i<count;i++) {sum+=probtab[i]; if (sel<sum) return i;}
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| 17 | return -1;
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| 18 | }
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| 19 |
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| 20 | bool Geno_fx::getMinMaxDef(ParamInterface *p,int i,double &mn,double &mx,double &def)
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| 21 | {
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| 22 | mn=mx=def=0;
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| 23 | int defined=0;
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| 24 | if (p->type(i)[0]=='f')
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| 25 | {
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| 26 | double _mn=0,_mx=1,_def=0.5;
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| 27 | defined=p->getMinMax(i,_mn,_mx,_def);
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| 28 | if (defined==1) _mx=_mn+1.0;
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| 29 | if (_mx<_mn && defined==3) _mn=_mx=_def; //only default was defined, let's assume min=max=default
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| 30 | if (defined<3) _def=(_mn+_mx)/2.0;
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| 31 | mn=_mn; mx=_mx; def=_def;
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| 32 | }
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| 33 | if (p->type(i)[0]=='d')
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| 34 | {
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| 35 | long _mn=0,_mx=1,_def=0;
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| 36 | defined=p->getMinMax(i,_mn,_mx,_def);
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| 37 | if (defined==1) _mx=_mn+1;
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| 38 | if (_mx<_mn && defined==3) _mn=_mx=_def; //only default was defined, let's assume min=max=default
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| 39 | if (defined<3) _def=(_mn+_mx)/2;
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| 40 | mn=_mn; mx=_mx; def=_def;
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| 41 | }
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| 42 | return defined==3;
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| 43 | }
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| 44 |
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| 45 | int Geno_fx::selectRandomProperty(Neuro* n)
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| 46 | {
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| 47 | int neuext=n->extraProperties().getPropCount(),
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| 48 | neucls=n->getClass()==NULL?0:n->getClass()->getProperties().getPropCount();
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| 49 | if (neuext+neucls==0) return -1; //no properties in this neuron
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| 50 | int index=randomN(neuext+neucls);
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| 51 | if (index>=neuext) index=index-neuext+100;
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| 52 | return index;
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| 53 | }
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| 54 |
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| 55 | double Geno_fx::mutateNeuProperty(double current,Neuro *n,int i)
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| 56 | {
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| 57 | if (i==-1) return mutateCreep('f',current,-10,10);
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| 58 | ParamInterface *pi;
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| 59 | if (i>=100) {i-=100; pi=&n->getClass()->getProperties();}
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| 60 | else pi=&n->extraProperties();
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| 61 | double newval;
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| 62 | /*bool ok=*/getMutatedProperty(*pi,i,current,newval);
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| 63 | return newval;
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| 64 | }
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| 65 |
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| 66 | bool Geno_fx::mutatePropertyNaive(ParamInterface &p,int i)
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| 67 | {
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| 68 | double mn,mx,df;
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| 69 | if (p.type(i)[0]!='f' && p.type(i)[0]!='d') return false; //don't know how to mutate
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| 70 | getMinMaxDef(&p,i,mn,mx,df);
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| 71 |
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| 72 | ExtValue ev;
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| 73 | p.get(i,ev);
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| 74 | ev.setDouble(mutateCreep(p.type(i)[0],ev.getDouble(),mn,mx));
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| 75 | p.set(i,ev);
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| 76 | return true;
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| 77 | }
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| 78 |
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| 79 | bool Geno_fx::mutateProperty(ParamInterface &p,int i)
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| 80 | {
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| 81 | double newval;
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| 82 | ExtValue ev;
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| 83 | p.get(i,ev);
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| 84 | bool ok=getMutatedProperty(p,i,ev.getDouble(),newval);
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| 85 | if (ok) {ev.setDouble(newval); p.set(i,ev);}
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| 86 | return ok;
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| 87 | }
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| 88 |
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| 89 | bool Geno_fx::getMutatedProperty(ParamInterface &p,int i,double oldval,double &newval)
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| 90 | {
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| 91 | newval=0;
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| 92 | if (p.type(i)[0]!='f' && p.type(i)[0]!='d') return false; //don't know how to mutate
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| 93 | const char *n=p.id(i),*na=p.name(i);
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| 94 | if (strcmp(n,"si")==0 && strcmp(na,"Sigmoid")==0) newval=CustomRnd(distrib_sigmo); else
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| 95 | if (strcmp(n,"in")==0 && strcmp(na,"Inertia")==0) newval=CustomRnd(distrib_inertia); else
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| 96 | if (strcmp(n,"fo")==0 && strcmp(na,"Force")==0) newval=CustomRnd(distrib_force); else
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| 97 | {
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| 98 | double mn,mx,df;
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| 99 | getMinMaxDef(&p,i,mn,mx,df);
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| 100 | newval=mutateCreep(p.type(i)[0],oldval,mn,mx);
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| 101 | }
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| 102 | return true;
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| 103 | }
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| 104 |
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| 105 | double Geno_fx::mutateCreep(char type,double current,double mn,double mx)
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| 106 | {
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| 107 | double result=RndGen.Gauss(current,(mx-mn)/2/5); // /halfinterval, 5 times narrower
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| 108 | if (type=='d') {result=int(result+0.5); if (result==current) result+=randomN(2)*2-1;}
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| 109 | else result=floor(result*1000)/1000.0;
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| 110 | if (result>mx) result=mx; else
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| 111 | if (result<mn) result=mn;
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| 112 | return result;
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| 113 | }
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| 114 |
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| 115 | NeuroClass* Geno_fx::getRandomNeuroClass()
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| 116 | {
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| 117 | SListTempl<NeuroClass*> active;
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| 118 | for(int i=0;i<Neuro::getClassCount();i++)
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| 119 | if (Neuro::getClass(i)->genactive) active+=Neuro::getClass(i);
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| 120 | if (!active==0) return NULL; else return active(randomN(!active));
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| 121 | }
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| 122 |
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| 123 | NeuroClass* Geno_fx::parseNeuroClass(char*& s)
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| 124 | {
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| 125 | int len=strlen(s);
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| 126 | int Len=0;
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| 127 | NeuroClass *I=NULL;
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| 128 | for(int i=0;i<Neuro::getClassCount();i++)
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| 129 | {
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| 130 | const char *n=Neuro::getClass(i)->name;
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| 131 | int l=strlen(n);
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| 132 | if (len>=l && l>Len && (strncmp(s,n,l)==0)) {I=Neuro::getClass(i); Len=l;}
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| 133 | }
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| 134 | s+=Len;
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| 135 | return I;
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| 136 | }
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| 137 |
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| 138 | Neuro* Geno_fx::findNeuro(const Model *m,const NeuroClass *nc)
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| 139 | {
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| 140 | if (!m) return NULL;
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| 141 | for(int i=0;i<m->getNeuroCount();i++)
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| 142 | if (m->getNeuro(i)->getClass()==nc) return m->getNeuro(i);
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| 143 | return NULL; //neuron of class 'nc' was not found
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| 144 | }
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| 145 |
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| 146 | int Geno_fx::neuroClassProp(char*& s,NeuroClass *nc,bool also_v1_N_props)
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| 147 | {
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| 148 | int len=strlen(s);
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| 149 | int Len=0,I=-1;
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| 150 | if (nc)
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| 151 | {
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| 152 | Param p=nc->getProperties();
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| 153 | for(int i=0;i<p.getPropCount();i++)
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| 154 | {
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| 155 | const char *n=p.id(i);
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| 156 | int l=strlen(n);
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| 157 | if (len>=l && l>Len && (strncmp(s,n,l)==0)) {I=100+i; Len=l;}
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| 158 | if (also_v1_N_props) //recognize old properties symbols /=!
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| 159 | {
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| 160 | if (strcmp(n,"si")==0) n="/"; else
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| 161 | if (strcmp(n,"in")==0) n="="; else
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| 162 | if (strcmp(n,"fo")==0) n="!";
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| 163 | l=strlen(n);
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| 164 | if (len>=l && l>Len && (strncmp(s,n,l)==0)) {I=100+i; Len=l;}
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| 165 | }
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| 166 | }
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| 167 | }
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| 168 | Neuro n;
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| 169 | ParamInterface &p=n.extraProperties();
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| 170 | for(int i=0;i<p.getPropCount();i++)
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| 171 | {
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| 172 | const char *n=p.id(i);
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| 173 | int l=strlen(n);
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| 174 | if (len>=l && l>Len && (strncmp(s,n,l)==0)) {I=i; Len=l;}
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| 175 | }
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| 176 | s+=Len;
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| 177 | return I;
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| 178 | }
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| 179 |
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| 180 | bool Geno_fx::isWS(const char c)
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| 181 | {return c==' ' || c=='\n' || c=='\t' || c=='\r';}
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| 182 |
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| 183 | void Geno_fx::skipWS(char *&s)
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| 184 | { if (!s) FramMessage("Geno_fx","skipWS","NULL reference!",1); else
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| 185 | while (isWS(*s)) s++;
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| 186 | }
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| 187 |
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| 188 | bool Geno_fx::areAlike(char *g1,char *g2)
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| 189 | {
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| 190 | while (*g1 || *g2)
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| 191 | {
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| 192 | skipWS(g1);
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| 193 | skipWS(g2);
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| 194 | if (*g1 != *g2) return false; //when difference
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| 195 | if (!*g1 && !*g2) break; //both end
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| 196 | g1++;
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| 197 | g2++;
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| 198 | }
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| 199 | return true; //equal
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| 200 | }
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| 201 |
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| 202 | char* Geno_fx::strchrn0(const char *str,char ch)
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| 203 | { return ch==0?NULL:strchr((char*)str,ch); }
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| 204 |
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| 205 | bool Geno_fx::isNeuroClassName(const char firstchar)
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| 206 | {
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| 207 | return isupper(firstchar) || firstchar=='|' || firstchar=='@' || firstchar=='*';
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| 208 | }
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| 209 |
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