1 | // This file is a part of the Framsticks GenoFX library. |
---|
2 | // Copyright (C) 2002-2011 Maciej Komosinski. See LICENSE.txt for details. |
---|
3 | // Refer to http://www.framsticks.com/ for further information. |
---|
4 | |
---|
5 | #include <ctype.h> //isupper() |
---|
6 | #include "geno_fx.h" |
---|
7 | #include "framsg.h" |
---|
8 | #include "rndutil.h" |
---|
9 | |
---|
10 | int Geno_fx::roulette(const double *probtab,const int count) |
---|
11 | { |
---|
12 | double sum=0; |
---|
13 | int i; |
---|
14 | for (i=0;i<count;i++) sum+=probtab[i]; |
---|
15 | double sel=rnd01*sum; |
---|
16 | for (sum=0,i=0;i<count;i++) {sum+=probtab[i]; if (sel<sum) return i;} |
---|
17 | return -1; |
---|
18 | } |
---|
19 | |
---|
20 | bool Geno_fx::getMinMaxDef(ParamInterface *p,int i,double &mn,double &mx,double &def) |
---|
21 | { |
---|
22 | mn=mx=def=0; |
---|
23 | int defined=0; |
---|
24 | if (p->type(i)[0]=='f') |
---|
25 | { |
---|
26 | double _mn=0,_mx=1,_def=0.5; |
---|
27 | defined=p->getMinMax(i,_mn,_mx,_def); |
---|
28 | if (defined==1) _mx=_mn+1.0; |
---|
29 | if (_mx<_mn && defined==3) _mn=_mx=_def; //only default was defined, let's assume min=max=default |
---|
30 | if (defined<3) _def=(_mn+_mx)/2.0; |
---|
31 | mn=_mn; mx=_mx; def=_def; |
---|
32 | } |
---|
33 | if (p->type(i)[0]=='d') |
---|
34 | { |
---|
35 | long _mn=0,_mx=1,_def=0; |
---|
36 | defined=p->getMinMax(i,_mn,_mx,_def); |
---|
37 | if (defined==1) _mx=_mn+1; |
---|
38 | if (_mx<_mn && defined==3) _mn=_mx=_def; //only default was defined, let's assume min=max=default |
---|
39 | if (defined<3) _def=(_mn+_mx)/2; |
---|
40 | mn=_mn; mx=_mx; def=_def; |
---|
41 | } |
---|
42 | return defined==3; |
---|
43 | } |
---|
44 | |
---|
45 | int Geno_fx::selectRandomProperty(Neuro* n) |
---|
46 | { |
---|
47 | int neuext=n->extraProperties().getPropCount(), |
---|
48 | neucls=n->getClass()==NULL?0:n->getClass()->getProperties().getPropCount(); |
---|
49 | if (neuext+neucls==0) return -1; //no properties in this neuron |
---|
50 | int index=randomN(neuext+neucls); |
---|
51 | if (index>=neuext) index=index-neuext+100; |
---|
52 | return index; |
---|
53 | } |
---|
54 | |
---|
55 | double Geno_fx::mutateNeuProperty(double current,Neuro *n,int i) |
---|
56 | { |
---|
57 | if (i==-1) return mutateCreepNoLimit('f',current,-10,10); //i==-1: mutating weight of neural connection |
---|
58 | ParamInterface *pi; |
---|
59 | if (i>=100) {i-=100; pi=&n->getClass()->getProperties();} |
---|
60 | else pi=&n->extraProperties(); |
---|
61 | double newval=current; |
---|
62 | /*bool ok=*/getMutatedProperty(*pi,i,current,newval); |
---|
63 | return newval; |
---|
64 | } |
---|
65 | |
---|
66 | bool Geno_fx::mutatePropertyNaive(ParamInterface &p,int i) |
---|
67 | { |
---|
68 | double mn,mx,df; |
---|
69 | if (p.type(i)[0]!='f' && p.type(i)[0]!='d') return false; //don't know how to mutate |
---|
70 | getMinMaxDef(&p,i,mn,mx,df); |
---|
71 | |
---|
72 | ExtValue ev; |
---|
73 | p.get(i,ev); |
---|
74 | ev.setDouble(mutateCreep(p.type(i)[0],ev.getDouble(),mn,mx)); |
---|
75 | p.set(i,ev); |
---|
76 | return true; |
---|
77 | } |
---|
78 | |
---|
79 | bool Geno_fx::mutateProperty(ParamInterface &p,int i) |
---|
80 | { |
---|
81 | double newval; |
---|
82 | ExtValue ev; |
---|
83 | p.get(i,ev); |
---|
84 | bool ok=getMutatedProperty(p,i,ev.getDouble(),newval); |
---|
85 | if (ok) {ev.setDouble(newval); p.set(i,ev);} |
---|
86 | return ok; |
---|
87 | } |
---|
88 | |
---|
89 | bool Geno_fx::getMutatedProperty(ParamInterface &p,int i,double oldval,double &newval) |
---|
90 | { |
---|
91 | newval=0; |
---|
92 | if (p.type(i)[0]!='f' && p.type(i)[0]!='d') return false; //don't know how to mutate |
---|
93 | const char *n=p.id(i),*na=p.name(i); |
---|
94 | if (strcmp(n,"si")==0 && strcmp(na,"Sigmoid")==0) newval=CustomRnd(distrib_sigmo); else |
---|
95 | if (strcmp(n,"in")==0 && strcmp(na,"Inertia")==0) newval=CustomRnd(distrib_inertia); else |
---|
96 | if (strcmp(n,"fo")==0 && strcmp(na,"Force")==0) newval=CustomRnd(distrib_force); else |
---|
97 | { |
---|
98 | double mn,mx,df; |
---|
99 | getMinMaxDef(&p,i,mn,mx,df); |
---|
100 | newval=mutateCreep(p.type(i)[0],oldval,mn,mx); |
---|
101 | } |
---|
102 | return true; |
---|
103 | } |
---|
104 | |
---|
105 | double Geno_fx::mutateCreepNoLimit(char type,double current,double mn,double mx) |
---|
106 | { |
---|
107 | double result=RndGen.Gauss(current,(mx-mn)/2/5); // /halfinterval, 5 times narrower |
---|
108 | if (type=='d') {result=int(result+0.5); if (result==current) result+=randomN(2)*2-1;} |
---|
109 | else result=floor(result*1000+0.5)/1000.0; //round |
---|
110 | return result; |
---|
111 | } |
---|
112 | |
---|
113 | double Geno_fx::mutateCreep(char type,double current,double mn,double mx) |
---|
114 | { |
---|
115 | double result=mutateCreepNoLimit(type,current,mn,mx); |
---|
116 | //reflect: |
---|
117 | if (result>mx) result=mx-(result-mx); else |
---|
118 | if (result<mn) result=mn+(mn-result); |
---|
119 | //absorb (just in case 'result' exceeded the allowed range so much): |
---|
120 | if (result>mx) result=mx; else |
---|
121 | if (result<mn) result=mn; |
---|
122 | return result; |
---|
123 | } |
---|
124 | |
---|
125 | NeuroClass* Geno_fx::getRandomNeuroClass() |
---|
126 | { |
---|
127 | SListTempl<NeuroClass*> active; |
---|
128 | for(int i=0;i<Neuro::getClassCount();i++) |
---|
129 | if (Neuro::getClass(i)->genactive) active+=Neuro::getClass(i); |
---|
130 | if (!active==0) return NULL; else return active(randomN(!active)); |
---|
131 | } |
---|
132 | |
---|
133 | NeuroClass* Geno_fx::parseNeuroClass(char*& s) |
---|
134 | { |
---|
135 | int len=strlen(s); |
---|
136 | int Len=0; |
---|
137 | NeuroClass *I=NULL; |
---|
138 | for(int i=0;i<Neuro::getClassCount();i++) |
---|
139 | { |
---|
140 | const char *n=Neuro::getClass(i)->name; |
---|
141 | int l=strlen(n); |
---|
142 | if (len>=l && l>Len && (strncmp(s,n,l)==0)) {I=Neuro::getClass(i); Len=l;} |
---|
143 | } |
---|
144 | s+=Len; |
---|
145 | return I; |
---|
146 | } |
---|
147 | |
---|
148 | Neuro* Geno_fx::findNeuro(const Model *m,const NeuroClass *nc) |
---|
149 | { |
---|
150 | if (!m) return NULL; |
---|
151 | for(int i=0;i<m->getNeuroCount();i++) |
---|
152 | if (m->getNeuro(i)->getClass()==nc) return m->getNeuro(i); |
---|
153 | return NULL; //neuron of class 'nc' was not found |
---|
154 | } |
---|
155 | |
---|
156 | int Geno_fx::neuroClassProp(char*& s,NeuroClass *nc,bool also_v1_N_props) |
---|
157 | { |
---|
158 | int len=strlen(s); |
---|
159 | int Len=0,I=-1; |
---|
160 | if (nc) |
---|
161 | { |
---|
162 | Param p=nc->getProperties(); |
---|
163 | for(int i=0;i<p.getPropCount();i++) |
---|
164 | { |
---|
165 | const char *n=p.id(i); |
---|
166 | int l=strlen(n); |
---|
167 | if (len>=l && l>Len && (strncmp(s,n,l)==0)) {I=100+i; Len=l;} |
---|
168 | if (also_v1_N_props) //recognize old properties symbols /=! |
---|
169 | { |
---|
170 | if (strcmp(n,"si")==0) n="/"; else |
---|
171 | if (strcmp(n,"in")==0) n="="; else |
---|
172 | if (strcmp(n,"fo")==0) n="!"; |
---|
173 | l=strlen(n); |
---|
174 | if (len>=l && l>Len && (strncmp(s,n,l)==0)) {I=100+i; Len=l;} |
---|
175 | } |
---|
176 | } |
---|
177 | } |
---|
178 | Neuro n; |
---|
179 | ParamInterface &p=n.extraProperties(); |
---|
180 | for(int i=0;i<p.getPropCount();i++) |
---|
181 | { |
---|
182 | const char *n=p.id(i); |
---|
183 | int l=strlen(n); |
---|
184 | if (len>=l && l>Len && (strncmp(s,n,l)==0)) {I=i; Len=l;} |
---|
185 | } |
---|
186 | s+=Len; |
---|
187 | return I; |
---|
188 | } |
---|
189 | |
---|
190 | bool Geno_fx::isWS(const char c) |
---|
191 | {return c==' ' || c=='\n' || c=='\t' || c=='\r';} |
---|
192 | |
---|
193 | void Geno_fx::skipWS(char *&s) |
---|
194 | { if (!s) FramMessage("Geno_fx","skipWS","NULL reference!",1); else |
---|
195 | while (isWS(*s)) s++; |
---|
196 | } |
---|
197 | |
---|
198 | bool Geno_fx::areAlike(char *g1,char *g2) |
---|
199 | { |
---|
200 | while (*g1 || *g2) |
---|
201 | { |
---|
202 | skipWS(g1); |
---|
203 | skipWS(g2); |
---|
204 | if (*g1 != *g2) return false; //when difference |
---|
205 | if (!*g1 && !*g2) break; //both end |
---|
206 | g1++; |
---|
207 | g2++; |
---|
208 | } |
---|
209 | return true; //equal |
---|
210 | } |
---|
211 | |
---|
212 | char* Geno_fx::strchrn0(const char *str,char ch) |
---|
213 | { return ch==0?NULL:strchr((char*)str,ch); } |
---|
214 | |
---|
215 | bool Geno_fx::isNeuroClassName(const char firstchar) |
---|
216 | { |
---|
217 | return isupper(firstchar) || firstchar=='|' || firstchar=='@' || firstchar=='*'; |
---|
218 | } |
---|
219 | |
---|