1 | // This file is a part of Framsticks SDK. http://www.framsticks.com/ |
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2 | // Copyright (C) 1999-2015 Maciej Komosinski and Szymon Ulatowski. |
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3 | // See LICENSE.txt for details. |
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4 | |
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5 | #include "conv_f1.h" |
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6 | #include <common/nonstd_stl.h> |
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7 | #include <common/hmessage.h> |
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8 | #include <frams/util/multirange.h> |
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9 | #include <frams/util/multimap.h> |
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10 | #include <ctype.h> |
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11 | |
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12 | //#define v1f1COMPATIBLE |
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13 | |
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14 | F1Props stdprops={1, 0, 1, 0.4, 0.25, 0.25, 0.25, 0.25, 0.0, 1.0, 1.0, 1, |
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15 | 0.2, 0.5,0.5,0.5 }; |
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16 | |
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17 | class Builder |
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18 | { |
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19 | public: |
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20 | Builder(const char*g,int mapping=0):invalid(0),genbegin(g),usemapping(mapping),first_part_mapping(NULL),energ(0),energ_div(0) {} |
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21 | ~Builder() {SAFEDELETE(first_part_mapping);} |
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22 | char tmp[222]; |
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23 | bool invalid; |
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24 | Model model; |
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25 | const char *genbegin; |
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26 | SList neuro_f1_to_f0; // neuro_f1_to_f0(f1_refno) = actual neuro pointer |
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27 | Neuro *last_f1_neuro; |
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28 | SyntParam *neuro_cls_param; |
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29 | |
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30 | struct Connection { int n1,n2; double w; |
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31 | Connection(int _n1,int _n2, double _w):n1(_n1),n2(_n2),w(_w) {} }; |
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32 | |
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33 | SListTempl<Connection> connections; |
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34 | int usemapping; |
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35 | MultiRange range; |
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36 | MultiRange *first_part_mapping; |
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37 | double lastjoint_muscle_power; |
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38 | double energ,energ_div; |
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39 | void grow(int part1,const char*g,Pt3D k,F1Props c); |
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40 | void setPartMapping(int p,const char* g); |
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41 | int growJoint(int part1,int part2,Pt3D &angle,F1Props &c,const char *g); |
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42 | int growPart(F1Props &c,const char *g); |
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43 | const char *skipNeuro(const char *z); |
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44 | const char* growNeuro(const char* t,F1Props &c,int&); |
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45 | void growConnection(const char* begin,const char* colon,const char* end,F1Props& props); |
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46 | int countBranches(const char*g,SList &out); |
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47 | SyntParam* lastNeuroClassParam(); |
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48 | void addClassParam(const char* name,double value); |
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49 | void addClassParam(const char* name,const char* value); |
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50 | |
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51 | const MultiRange* makeRange(const char*g) {return makeRange(g,g);} |
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52 | const MultiRange* makeRange(const char*g,const char*g2); |
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53 | Part *getLastPart() {return getLastJoint()->part2;} |
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54 | Neuro *getLastNeuro() {return model.getNeuro(model.getNeuroCount()-1);} |
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55 | Joint *getLastJoint() {return model.getJoint(model.getJointCount()-1);} |
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56 | void addOrRememberInput(int n1,int n2,double w) |
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57 | { |
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58 | //if (!addInput(n1,n2,w,false)) |
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59 | connections+=Connection(n1,n2,w); |
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60 | } |
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61 | bool addInput(int n1,int n2,double w,bool final) |
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62 | { |
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63 | if ((n1<0) || (n2<0) || (n1>=neuro_f1_to_f0.size()) || (n2>=neuro_f1_to_f0.size())) |
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64 | { |
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65 | if (final) Hprintf("GenoConvF1","addInput",HMLV_WARN, |
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66 | "illegal neuron connection %d <- %d (ignored)",n1,n2); |
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67 | return 0; |
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68 | } |
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69 | Neuro *neuro=(Neuro*)neuro_f1_to_f0(n1); |
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70 | Neuro *input=(Neuro*)neuro_f1_to_f0(n2); |
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71 | neuro->addInput(input,w); |
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72 | return 1; |
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73 | } |
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74 | void addPendingInputs() |
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75 | { |
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76 | for(int i=0;i<connections.size();i++) |
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77 | { |
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78 | Connection *c=&connections(i); |
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79 | addInput(c->n1,c->n2,c->w,true); |
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80 | } |
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81 | } |
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82 | }; |
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83 | |
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84 | const MultiRange* Builder::makeRange(const char*g,const char*g2) |
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85 | { |
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86 | if (!usemapping) return 0; |
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87 | range.clear(); |
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88 | range.add(g-genbegin,g2-genbegin); |
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89 | return ⦥ |
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90 | } |
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91 | |
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92 | void F1Props::wykluczanie() |
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93 | { |
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94 | double s=ruch+asym+odpor+wchl; |
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95 | ruch=ruch/s; |
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96 | asym=asym/s; |
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97 | odpor=odpor/s; |
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98 | wchl=wchl/s; |
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99 | } |
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100 | |
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101 | /** main conversion function - with conversion map support */ |
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102 | SString GenoConv_f1::convert(SString &i,MultiMap *map) |
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103 | { |
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104 | const char* g=i.c_str(); |
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105 | Builder builder(g,map?1:0); |
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106 | builder.model.open(); |
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107 | builder.grow(-1,g,Pt3D_0,stdprops); // uses Model::singleStepBuild to create model elements |
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108 | if (builder.invalid) return SString(); |
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109 | builder.addPendingInputs(); |
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110 | builder.model.startenergy=(builder.energ_div>0)?(builder.energ/builder.energ_div):1.0; |
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111 | builder.model.close(); // model is ready to use now |
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112 | if (map) builder.model.getCurrentToF0Map(*map); // generate f1-to-f0 conversion map |
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113 | return builder.model.getF0Geno().getGene(); |
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114 | } |
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115 | |
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116 | void Builder::setPartMapping(int p,const char* g) |
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117 | { |
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118 | if (!usemapping) return; |
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119 | const MultiRange *r=makeRange(g); |
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120 | if (p<0) |
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121 | { //special case: mapping the part which is not yet created |
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122 | if (first_part_mapping) first_part_mapping->add(*r); |
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123 | else first_part_mapping=new MultiRange(*r); |
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124 | } |
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125 | else |
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126 | model.getPart(p)->addMapping(*r); |
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127 | } |
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128 | |
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129 | void Builder::grow(int part1,const char*g,Pt3D k,F1Props c) |
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130 | { |
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131 | int hasmuscles=0; |
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132 | k+=Pt3D(c.rot,0,c.skr); |
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133 | while(1) |
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134 | { |
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135 | switch(*g) |
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136 | { |
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137 | case 0: case ',': case ')': return; |
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138 | case 'R': k.x+=0.7853; setPartMapping(part1,g); break; |
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139 | case 'r': k.x-=0.7853; setPartMapping(part1,g); break; |
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140 | case 'Q': c.rot+=(1.58-c.rot)*0.3; setPartMapping(part1,g); break; |
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141 | case 'q': c.rot+=(-1.58-c.rot)*0.3; setPartMapping(part1,g); break; |
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142 | #ifdef v1f1COMPATIBLE |
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143 | case 'L': c.dlug+=(3.0-c.dlug)*0.3; setPartMapping(part1,g); break; |
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144 | #else |
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145 | case 'L': c.dlug+=(2.0-c.dlug)*0.3; setPartMapping(part1,g); break; |
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146 | #endif |
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147 | case 'l': c.dlug+=(0.33-c.dlug)*0.3; setPartMapping(part1,g); break; |
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148 | case 'A': c.asym+=(1-c.asym)*0.8; c.wykluczanie(); setPartMapping(part1,g); break; |
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149 | case 'a': c.asym-=c.asym*0.4; c.wykluczanie(); setPartMapping(part1,g); break; |
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150 | case 'I': c.wchl+=(1-c.wchl)*0.8; c.wykluczanie(); setPartMapping(part1,g); break; |
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151 | case 'i': c.wchl-=c.wchl*0.4; c.wykluczanie(); setPartMapping(part1,g); break; |
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152 | case 'S': c.odpor+=(1-c.odpor)*0.8; c.wykluczanie(); setPartMapping(part1,g); break; |
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153 | case 's': c.odpor-=c.odpor*0.4; c.wykluczanie(); setPartMapping(part1,g); break; |
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154 | case 'M': c.ruch+=(1-c.ruch)*0.8; c.wykluczanie(); setPartMapping(part1,g); break; |
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155 | case 'm': c.ruch-=c.ruch*0.4; c.wykluczanie(); setPartMapping(part1,g); break; |
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156 | case 'C': c.skr+=(2.0-c.skr)*0.25; setPartMapping(part1,g); break; |
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157 | case 'c': c.skr+=(-2.0-c.skr)*0.25; setPartMapping(part1,g); break; |
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158 | case 'F': c.tarcie+=(4-c.tarcie)*0.2; setPartMapping(part1,g); break; |
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159 | case 'f': c.tarcie-=c.tarcie*0.2; setPartMapping(part1,g); break; |
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160 | case 'W': c.masa+=(2.0-c.masa)*0.3; setPartMapping(part1,g); break; |
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161 | case 'w': c.masa+=(0.5-c.masa)*0.3; setPartMapping(part1,g); break; |
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162 | case 'E': c.energ+=(10.0-c.energ)*0.1; setPartMapping(part1,g); break; |
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163 | case 'e': c.energ-=c.energ*0.1; setPartMapping(part1,g); break; |
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164 | |
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165 | case 'D': c.cred+=(1.0-c.cred)*0.25; setPartMapping(part1,g); break; |
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166 | case 'd': c.cred+=(0.0-c.cred)*0.25; setPartMapping(part1,g); break; |
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167 | case 'G': c.cgreen+=(1.0-c.cgreen)*0.25; setPartMapping(part1,g); break; |
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168 | case 'g': c.cgreen+=(0.0-c.cgreen)*0.25; setPartMapping(part1,g); break; |
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169 | case 'B': c.cblue+=(1.0-c.cblue)*0.25; setPartMapping(part1,g); break; |
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170 | case 'b': c.cblue+=(0.0-c.cblue)*0.25; setPartMapping(part1,g); break; |
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171 | case 'H': c.grub+=(0.7-c.grub)*0.25; setPartMapping(part1,g); break; |
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172 | case 'h': c.grub+=(0.05-c.grub)*0.25; setPartMapping(part1,g); break; |
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173 | |
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174 | case '[': //neuron |
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175 | // setdebug(g-(char*)geny,DEBUGNEURO | !l_neu); |
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176 | if (model.getJointCount()) |
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177 | g=growNeuro(g+1,c,hasmuscles); |
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178 | else |
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179 | { |
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180 | Hmessage("GenoConv_F1","grow","Illegal neuron position (ignored)",1); |
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181 | g=skipNeuro(g+1); |
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182 | } |
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183 | break; |
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184 | case 'X': |
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185 | { |
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186 | int freshpart=0; |
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187 | //setdebug(g-(char*)geny,DEBUGEST | !l_est); |
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188 | if (part1<0) //initial grow |
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189 | { |
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190 | if (model.getPartCount()>0) |
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191 | part1=0; |
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192 | else |
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193 | { |
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194 | part1=growPart(c,g); |
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195 | freshpart=1; |
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196 | if (first_part_mapping) |
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197 | model.getPart(part1)->setMapping(*first_part_mapping); |
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198 | } |
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199 | } |
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200 | if (!freshpart) |
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201 | { |
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202 | Part *part=model.getPart(part1); |
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203 | part->density=((part->mass*part->density)+1.0/c.masa)/(part->mass+1.0); // v=m*d |
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204 | // part->volume+=1.0/c.masa; |
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205 | part->mass+=1.0; |
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206 | } |
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207 | energ+=0.9*c.energ+0.1; |
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208 | energ_div+=1.0; |
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209 | |
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210 | int part2 = growPart(c,g); |
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211 | growJoint(part1,part2,k,c,g); |
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212 | // est* e = new est(*s,*s2,k,c,zz,this); |
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213 | |
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214 | // oslabianie cech wzdluz struktury |
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215 | c.dlug=0.5*c.dlug+0.5*stdprops.dlug; |
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216 | c.grub=0.5*c.grub+0.5*stdprops.grub; |
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217 | c.skr=0.66*c.skr; |
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218 | c.rot=0.66*c.rot; |
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219 | c.tarcie=0.8*c.tarcie+0.2*stdprops.tarcie; |
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220 | |
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221 | c.asym=0.8*c.asym+0.2*stdprops.asym; |
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222 | c.odpor=0.8*c.odpor+0.2*stdprops.odpor; |
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223 | c.ruch=0.8*c.ruch+0.2*stdprops.ruch; |
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224 | c.wchl=0.8*c.wchl+0.2*stdprops.wchl; |
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225 | c.masa+=(stdprops.masa-c.masa)*0.5; |
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226 | c.wykluczanie(); |
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227 | |
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228 | if (c.resetrange) c.bendrange=1.0; else c.resetrange=1; |
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229 | grow(part2,g+1,Pt3D_0,c); |
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230 | return; |
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231 | } |
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232 | case '(': |
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233 | { |
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234 | setPartMapping(part1,g); |
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235 | SList ga; |
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236 | int i,ile; |
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237 | ile=countBranches(g+1,ga); |
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238 | c.resetrange=0; |
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239 | c.bendrange=1.0/ile; |
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240 | for (i=0;i<ile;i++) |
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241 | grow(part1,(char*)ga(i),k+Pt3D(0,0,-3.141+(i+1)*(6.282/(ile+1))),c); |
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242 | return; |
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243 | } |
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244 | case ' ': case '\t': case '\n': case '\r': break; |
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245 | default: invalid=1; return; |
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246 | } |
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247 | g++; |
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248 | } |
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249 | } |
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250 | |
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251 | SyntParam* Builder::lastNeuroClassParam() |
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252 | { |
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253 | if (!neuro_cls_param) |
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254 | { |
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255 | NeuroClass *cls=last_f1_neuro->getClass(); |
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256 | if (cls) |
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257 | { |
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258 | neuro_cls_param=new SyntParam(last_f1_neuro->classProperties()); |
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259 | // this is equivalent to: |
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260 | // SyntParam tmp=last_f1_neuro->classProperties(); |
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261 | // neuro_cls_param=new SyntParam(tmp); |
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262 | // interestingly, some compilers eliminate the call to new SyntParam, |
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263 | // realizing that a copy constructor is redundant when the original object is |
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264 | // temporary. there are no side effect of such optimization, as long as the |
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265 | // copy-constructed object is exact equivalent of the original. |
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266 | } |
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267 | } |
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268 | return neuro_cls_param; |
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269 | } |
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270 | |
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271 | void Builder::addClassParam(const char* name,double value) |
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272 | { |
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273 | lastNeuroClassParam(); |
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274 | if (neuro_cls_param) |
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275 | neuro_cls_param->setDoubleById(name,value); |
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276 | } |
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277 | |
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278 | void Builder::addClassParam(const char* name,const char* value) |
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279 | { |
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280 | lastNeuroClassParam(); |
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281 | if (neuro_cls_param) |
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282 | { |
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283 | ExtValue e(value); |
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284 | const ExtValue &re(e); |
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285 | neuro_cls_param->setById(name,re); |
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286 | } |
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287 | } |
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288 | |
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289 | int Builder::countBranches(const char*g,SList &out) |
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290 | { |
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291 | int gl=0; |
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292 | out+=(void*)g; |
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293 | while (gl>=0) |
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294 | { |
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295 | switch(*g) |
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296 | { |
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297 | case 0: gl=-1; break; |
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298 | case '(': case '[': ++gl; break; |
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299 | case ')': case ']': --gl; break; |
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300 | case ',': if (!gl) out+=(void*)(g+1); |
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301 | } |
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302 | g++; |
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303 | } |
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304 | return out.size(); |
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305 | } |
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306 | |
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307 | int Builder::growJoint(int part1,int part2,Pt3D &angle,F1Props &c,const char *g) |
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308 | { |
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309 | double len=min(2.0,c.dlug); |
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310 | sprintf(tmp,"j:p1=%ld,p2=%ld,dx=%lg,rx=%lg,ry=%lg,rz=%lg,stam=%lg,vr=%g,vg=%g,vb=%g", |
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311 | part1,part2,len,angle.x,angle.y,angle.z,c.odpor, c.cred,c.cgreen,c.cblue); |
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312 | lastjoint_muscle_power=c.ruch; |
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313 | return model.singleStepBuild(tmp,makeRange(g)); |
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314 | } |
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315 | |
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316 | int Builder::growPart(F1Props &c,const char *g) |
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317 | { |
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318 | sprintf(tmp,"p:m=1,dn=%lg,fr=%lg,ing=%lg,as=%lg,vs=%g,vr=%g,vg=%g,vb=%g", |
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319 | 1.0/c.masa,c.tarcie,c.wchl,c.asym, c.grub, c.cred,c.cgreen,c.cblue); |
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320 | return model.singleStepBuild(tmp,makeRange(g)); |
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321 | } |
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322 | |
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323 | const char *Builder::skipNeuro(const char *z) |
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324 | { |
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325 | for (;*z;z++) if ((*z==']')||(*z==')')) break; |
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326 | return z-1; |
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327 | } |
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328 | |
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329 | const char* Builder::growNeuro(const char* t, F1Props& props,int &hasmuscles) |
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330 | { |
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331 | const char*neuroend=skipNeuro(t); |
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332 | last_f1_neuro=model.addNewNeuro(); |
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333 | neuro_cls_param=NULL; |
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334 | last_f1_neuro->attachToPart(getLastPart()); |
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335 | const MultiRange *mr=makeRange(t-1,neuroend+1); |
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336 | if (mr) last_f1_neuro->addMapping(*mr); |
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337 | neuro_f1_to_f0+=last_f1_neuro; |
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338 | |
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339 | SString clsname; |
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340 | bool haveclass=0; |
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341 | while(*t && *t<=' ') t++; |
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342 | const char* next=(*t)?(t+1):t; |
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343 | while(*next && *next<=' ') next++; |
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344 | if (*t && *next!=',' && *next!=']') // old style muscles [|rest] or [@rest] |
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345 | switch(*t) |
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346 | { |
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347 | case '@': if (t[1]==':') break; |
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348 | haveclass=1; |
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349 | // if (!(hasmuscles&1)) |
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350 | { |
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351 | hasmuscles|=1; |
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352 | Neuro *muscle=model.addNewNeuro(); |
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353 | sprintf(tmp,"@:p=%lg",lastjoint_muscle_power); |
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354 | muscle->addInput(last_f1_neuro); |
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355 | muscle->setDetails(tmp); |
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356 | muscle->attachToJoint(getLastJoint()); |
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357 | if (usemapping) muscle->addMapping(*makeRange(t)); |
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358 | } |
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359 | t++; |
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360 | break; |
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361 | case '|': if (t[1]==':') break; |
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362 | haveclass=1; |
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363 | // if (!(hasmuscles&2)) |
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364 | { |
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365 | hasmuscles|=2; |
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366 | Neuro *muscle=model.addNewNeuro(); |
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367 | sprintf(tmp,"|:p=%lg,r=%lg",lastjoint_muscle_power,props.bendrange); |
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368 | muscle->addInput(last_f1_neuro); |
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369 | muscle->setDetails(tmp); |
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370 | muscle->attachToJoint(getLastJoint()); |
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371 | if (usemapping) muscle->addMapping(*makeRange(t)); |
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372 | } |
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373 | t++; |
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374 | break; |
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375 | } |
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376 | while(*t && *t<=' ') t++; |
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377 | bool finished=0; |
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378 | const char *begin=t; |
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379 | const char* colon=0; |
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380 | SString classparams; |
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381 | while(!finished) |
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382 | { |
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383 | switch (*t) |
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384 | { |
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385 | case ':': colon=t; break; |
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386 | case 0: case ']': case ')': finished=1; |
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387 | // NO break! |
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388 | case ',': |
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389 | if ( !haveclass && !colon && t>begin ) |
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390 | { |
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391 | haveclass=1; |
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392 | SString clsname(begin,t-begin); |
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393 | clsname=trim(clsname); |
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394 | last_f1_neuro->setClassName(clsname); |
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395 | NeuroClass *cls=last_f1_neuro->getClass(); |
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396 | if (cls) |
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397 | { |
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398 | if (cls->getPreferredLocation()==2) |
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399 | last_f1_neuro->attachToJoint(getLastJoint()); |
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400 | else if (cls->getPreferredLocation()==1) |
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401 | last_f1_neuro->attachToPart(getLastPart()); |
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402 | |
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403 | lastNeuroClassParam(); |
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404 | //special handling: muscle properties (can be overwritten by subsequent property assignments) |
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405 | if (!strcmp(cls->getName().c_str(),"|")) |
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406 | { |
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407 | neuro_cls_param->setDoubleById("p",lastjoint_muscle_power); |
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408 | neuro_cls_param->setDoubleById("r",props.bendrange); |
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409 | } |
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410 | else if (!strcmp(cls->getName().c_str(),"@")) |
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411 | { |
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412 | neuro_cls_param->setDoubleById("p",lastjoint_muscle_power); |
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413 | } |
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414 | } |
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415 | } |
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416 | else if (colon && (colon>begin) && (t>colon)) |
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417 | growConnection(begin,colon,t,props); |
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418 | if (t[0]!=',') t--; |
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419 | begin=t+1; colon=0; |
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420 | break; |
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421 | } |
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422 | t++; |
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423 | } |
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424 | SAFEDELETE(neuro_cls_param); |
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425 | return t; |
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426 | } |
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427 | void Builder::growConnection(const char* begin, const char* colon,const char* end,F1Props& props) |
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428 | { |
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429 | while(*begin && *begin<=' ') begin++; |
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430 | int i; |
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431 | if (isdigit(begin[0]) || (begin[0]=='-')) |
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432 | { |
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433 | double weight=atof(colon+1); |
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434 | int relative=atoi(begin); |
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435 | int this_refno=neuro_f1_to_f0.size()-1; |
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436 | addOrRememberInput(this_refno,this_refno+relative,weight); |
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437 | } |
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438 | else if ((i=last_f1_neuro->extraProperties().findIdn(begin,colon-begin))>=0) |
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439 | { |
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440 | last_f1_neuro->extraProperties().set(i,colon+1); |
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441 | } |
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442 | else if (isupper(begin[0]) || strchr("*|@",begin[0])) |
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443 | { |
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444 | SString clsname(begin,colon-begin); |
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445 | trim(clsname); |
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446 | Neuro *receptor=model.addNewNeuro(); |
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447 | receptor->setClassName(clsname); |
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448 | NeuroClass *cls=receptor->getClass(); |
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449 | if (cls) |
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450 | { |
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451 | if (cls->getPreferredLocation()==2) receptor->attachToJoint(getLastJoint()); |
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452 | else if (cls->getPreferredLocation()==1) receptor->attachToPart(getLastPart()); |
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453 | } |
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454 | last_f1_neuro->addInput(receptor,atof(colon+1)); |
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455 | if (usemapping) receptor->addMapping(*makeRange(begin,end-1)); |
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456 | } |
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457 | else if ((begin[0]=='>')&&(begin[1])) |
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458 | { |
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459 | Neuro *out=model.addNewNeuro(); |
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460 | out->addInput(last_f1_neuro,atof(colon+1)); |
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461 | out->setClassName(SString(begin+1,end-colon-1)); |
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462 | if (begin[1]=='@') |
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463 | { |
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464 | sprintf(tmp,"p=%lg",lastjoint_muscle_power); |
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465 | out->setClassParams(tmp); |
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466 | } |
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467 | else if (begin[1]=='|') |
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468 | { |
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469 | sprintf(tmp,"p=%lg,r=%lg",lastjoint_muscle_power,props.bendrange); |
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470 | out->setClassParams(tmp); |
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471 | } |
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472 | NeuroClass *cls=out->getClass(); |
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473 | if (cls) |
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474 | { |
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475 | if (cls->getPreferredLocation()==2) out->attachToJoint(getLastJoint()); |
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476 | else if (cls->getPreferredLocation()==1) out->attachToPart(getLastPart()); |
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477 | } |
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478 | if (usemapping) out->addMapping(*makeRange(begin,end-1)); |
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479 | } |
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480 | else if (*begin=='!') addClassParam("fo",atof(colon+1)); |
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481 | else if (*begin=='=') addClassParam("in",atof(colon+1)); |
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482 | else if (*begin=='/') addClassParam("si",atof(colon+1)); |
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483 | else if (islower(begin[0])) |
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484 | { |
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485 | SString name(begin,colon-begin); |
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486 | SString value(colon+1,end-(colon+1)); |
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487 | addClassParam(name.c_str(),value.c_str()); |
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488 | } |
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489 | } |
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