1 | // This file is a part of Framsticks SDK. http://www.framsticks.com/ |
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2 | // Copyright (C) 1999-2017 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 <stdlib.h> |
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6 | #include <math.h> |
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7 | #include <stdio.h> |
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8 | #include <string.h> |
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9 | #include <ctype.h> |
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10 | #include <time.h> |
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11 | #include <errno.h> |
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12 | |
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13 | /////////////////////////////// MODELPARTS.CPP /////////////// |
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14 | |
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15 | #include "modelparts.h" |
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16 | #include "model.h" |
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17 | |
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18 | #include <common/nonstd.h> |
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19 | #include <frams/param/param.h> |
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20 | #include <frams/neuro/neurolibrary.h> |
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21 | #include <frams/util/multirange.h> |
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22 | #include <frams/util/extvalue.h> |
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23 | #include <frams/param/paramobj.h> |
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24 | |
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25 | #include F0_DEFASSIGN_FILE |
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26 | |
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27 | #ifndef SDK_WITHOUT_FRAMS |
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28 | #include <frams/neuro/neuroclsobject.h> |
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29 | #endif |
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30 | |
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31 | template<> |
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32 | char ModelUserTags::reg[5] = { 0 }; |
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33 | |
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34 | ///////////////////////// |
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35 | |
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36 | PartBase::~PartBase() |
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37 | { |
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38 | if (mapped) delete mapped; |
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39 | } |
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40 | |
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41 | void PartBase::notifyMappingChange() |
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42 | { |
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43 | if (owner) owner->partmappingchanged = 1; |
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44 | } |
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45 | |
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46 | void PartBase::setMapping(const IRange &r) |
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47 | { |
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48 | if (mapped) (*mapped) = r; |
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49 | else mapped = new MultiRange(r); |
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50 | notifyMappingChange(); |
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51 | } |
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52 | |
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53 | void PartBase::clearMapping() |
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54 | { |
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55 | if (mapped) { delete mapped; mapped = 0; } |
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56 | } |
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57 | |
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58 | void PartBase::addMapping(const IRange &r) |
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59 | { |
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60 | if (mapped) mapped->add(r); |
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61 | else mapped = new MultiRange(r); |
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62 | notifyMappingChange(); |
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63 | } |
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64 | |
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65 | void PartBase::setMapping(const MultiRange &mr) |
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66 | { |
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67 | if (mapped) (*mapped) = mr; |
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68 | else mapped = new MultiRange(mr); |
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69 | notifyMappingChange(); |
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70 | } |
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71 | |
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72 | void PartBase::addMapping(const MultiRange &mr) |
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73 | { |
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74 | if (mapped) mapped->add(mr); |
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75 | else mapped = new MultiRange(mr); |
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76 | notifyMappingChange(); |
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77 | } |
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78 | |
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79 | void PartBase::setInfo(const SString& name, const SString& value) |
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80 | { |
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81 | strSetField(info, name, value); |
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82 | } |
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83 | |
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84 | void PartBase::setInfo(const SString& name, int value) |
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85 | { |
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86 | setInfo(name, SString::valueOf(value)); |
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87 | } |
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88 | |
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89 | void PartBase::setInfo(const SString& name, double value) |
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90 | { |
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91 | setInfo(name, SString::valueOf(value)); |
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92 | } |
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93 | |
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94 | SString PartBase::getInfo(const SString& name) |
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95 | { |
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96 | return strGetField(info, name); |
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97 | } |
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98 | |
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99 | ///////////////////////// |
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100 | |
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101 | NeuroClass::NeuroClass(ParamEntry *_props, SString _description, |
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102 | int _prefinputs, int _prefoutput, int _preflocation, |
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103 | int *_vectordata, bool own_vd, int vhints) |
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104 | :ownedvectordata(own_vd), |
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105 | name(_props->name), longname(_props->id), description(_description), |
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106 | props(_props), ownedprops(false), |
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107 | prefinputs(_prefinputs), |
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108 | prefoutput(_prefoutput), |
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109 | preflocation(_preflocation), |
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110 | vectordata(_vectordata), |
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111 | visualhints(vhints), impl_count(0),/*impl(0),*/active(1), genactive(0) |
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112 | {} |
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113 | |
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114 | NeuroClass::~NeuroClass() |
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115 | { |
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116 | setSymbolGlyph(0, 0); |
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117 | if (props && ownedprops) |
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118 | ParamObject::freeParamTab(props); |
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119 | } |
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120 | |
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121 | NeuroClass::NeuroClass() |
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122 | :ownedvectordata(0), |
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123 | name("Invalid"), |
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124 | props(empty_paramtab), ownedprops(false), |
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125 | prefinputs(0), prefoutput(0), |
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126 | preflocation(0), vectordata(0), |
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127 | visualhints(0), impl_count(0), /*impl(0),*/ active(1), genactive(0) |
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128 | {} |
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129 | |
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130 | void NeuroClass::resetActive() |
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131 | { |
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132 | for (int i = 0; i < Neuro::getClassCount(); i++) |
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133 | { |
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134 | Neuro::getClass(i)->genactive = 0; |
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135 | Neuro::getClass(i)->active = 1; |
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136 | } |
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137 | } |
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138 | |
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139 | void NeuroClass::setGenActive(const char* genactive_classes[]) |
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140 | { |
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141 | for (const char** n = genactive_classes; *n; n++) |
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142 | { |
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143 | NeuroClass* cls = Neuro::getClass(*n); |
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144 | if (cls) cls->genactive = 1; |
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145 | } |
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146 | } |
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147 | |
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148 | SString NeuroClass::getSummary() |
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149 | { |
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150 | SString t; |
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151 | t = getDescription(); |
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152 | if (t.len()) t += "\n\n"; |
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153 | t += "Characteristics:\n"; |
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154 | if (getPreferredInputs()) |
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155 | { |
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156 | if (getPreferredInputs() < 0) t += " supports any number of inputs\n"; |
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157 | else if (getPreferredInputs() == 1) t += " uses single input\n"; |
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158 | else t += SString::sprintf(" uses %d inputs\n", getPreferredInputs()); |
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159 | } |
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160 | else t += " does not use inputs\n"; |
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161 | if (getPreferredOutput()) |
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162 | t += " provides output value\n"; |
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163 | else |
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164 | t += " does not provide output value\n"; |
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165 | switch (getPreferredLocation()) |
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166 | { |
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167 | case 0: t += " does not require location in body\n"; break; |
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168 | case 1: t += " should be located on a Part\n"; break; |
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169 | case 2: t += " should be located on a Joint\n"; break; |
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170 | } |
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171 | Param p = getProperties(); |
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172 | if (p.getPropCount()) |
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173 | { |
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174 | if (t.len()) t += "\n\n"; |
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175 | t += "Properties:\n"; |
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176 | const char *h; |
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177 | int i; |
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178 | for (i = 0; i < p.getPropCount(); i++) |
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179 | { |
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180 | if (i) t += "\n"; |
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181 | t += " "; t += p.name(i); t += " ("; t += p.id(i); t += ") "; |
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182 | t += p.friendlyTypeDescr(i); |
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183 | if (h = p.help(i)) if (*h) { t += " - "; t += h; } |
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184 | } |
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185 | } |
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186 | return t; |
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187 | } |
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188 | |
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189 | ///////////////////////// |
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190 | |
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191 | ///////////////////////////////////// |
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192 | |
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193 | Neuro::Neuro(double _state, double _inertia, double _force, double _sigmo) |
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194 | :PartBase(getDefaultStyle()), state(_state) |
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195 | { |
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196 | flags = 0; |
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197 | myclass = 0; |
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198 | knownclass = 1; |
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199 | part_refno = -1; joint_refno = -1; |
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200 | } |
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201 | |
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202 | Neuro::Neuro(void) :PartBase(getDefaultStyle()) |
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203 | { |
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204 | defassign(); |
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205 | state = 0.0; |
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206 | myclass = NULL; |
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207 | myclassname = "N";//default d="N" but f0.def is unable to set this (d is GETSET, not a regular FIELD) |
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208 | knownclass = 0; |
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209 | refno = 0; |
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210 | pos = Pt3D_0; rot = Pt3D_0; |
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211 | parent = 0; part = 0; joint = 0; |
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212 | parentcount = 0; |
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213 | flags = 0; |
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214 | part_refno = -1; joint_refno = -1; |
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215 | } |
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216 | |
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217 | |
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218 | Neuro::~Neuro() |
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219 | { |
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220 | int i; |
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221 | for (i = 0; i < inputs.size(); i++) |
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222 | { |
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223 | NInput &ni = inputs(i); |
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224 | if (ni.info) delete ni.info; |
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225 | } |
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226 | } |
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227 | |
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228 | SString** Neuro::inputInfo(int i) |
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229 | { |
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230 | if (i >= getInputCount()) return 0; |
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231 | return &inputs(i).info; |
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232 | } |
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233 | |
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234 | void Neuro::setInputInfo(int i, const SString& name, const SString &value) |
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235 | { |
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236 | SString **s = inputInfo(i); |
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237 | if (!s) return; |
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238 | if (!*s) *s = new SString(); |
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239 | strSetField(**s, name, value); |
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240 | } |
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241 | |
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242 | void Neuro::setInputInfo(int i, const SString& name, int value) |
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243 | { |
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244 | setInputInfo(i, name, SString::valueOf(value)); |
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245 | } |
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246 | |
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247 | void Neuro::setInputInfo(int i, const SString& name, double value) |
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248 | { |
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249 | setInputInfo(i, name, SString::valueOf(value)); |
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250 | } |
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251 | |
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252 | SString Neuro::getInputInfo(int i) |
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253 | { |
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254 | SString **s = inputInfo(i); |
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255 | if (!s) return SString(); |
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256 | if (!*s) return SString(); |
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257 | return **s; |
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258 | } |
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259 | |
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260 | SString Neuro::getInputInfo(int i, const SString& name) |
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261 | { |
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262 | SString **s = inputInfo(i); |
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263 | if (!s) return SString(); |
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264 | if (!*s) return SString(); |
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265 | return strGetField(**s, name); |
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266 | } |
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267 | |
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268 | void Neuro::operator=(const Neuro& src) |
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269 | { |
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270 | refno = src.refno; |
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271 | state = src.state; |
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272 | part_refno = -1; |
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273 | joint_refno = -1; |
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274 | pos = src.pos; rot = src.rot; |
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275 | parent = 0; part = 0; joint = 0; |
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276 | parentcount = 0; |
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277 | flags = 0; |
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278 | myclass = src.myclass; |
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279 | knownclass = src.knownclass; |
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280 | myclassname = src.myclassname; |
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281 | myclassparams = src.myclassparams; |
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282 | } |
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283 | |
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284 | void Neuro::attachToPart(int i) |
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285 | { |
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286 | attachToPart((i >= 0) ? owner->getPart(i) : 0); |
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287 | } |
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288 | |
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289 | void Neuro::attachToJoint(int i) |
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290 | { |
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291 | attachToJoint((i >= 0) ? owner->getJoint(i) : 0); |
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292 | } |
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293 | |
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294 | int Neuro::getClassCount() |
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295 | { |
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296 | return NeuroLibrary::staticlibrary.getClassCount(); |
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297 | } |
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298 | |
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299 | NeuroClass* Neuro::getClass(int classindex) |
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300 | { |
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301 | return NeuroLibrary::staticlibrary.getClass(classindex); |
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302 | } |
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303 | |
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304 | NeuroClass* Neuro::getClass(const SString& classname) |
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305 | { |
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306 | return NeuroLibrary::staticlibrary.findClass(classname); |
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307 | } |
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308 | |
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309 | int Neuro::getClassIndex(const NeuroClass*nc) |
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310 | { |
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311 | return NeuroLibrary::staticlibrary.classes.find((void*)nc); |
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312 | } |
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313 | |
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314 | NeuroClass* Neuro::getClass() |
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315 | { |
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316 | checkClass(); |
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317 | return myclass; |
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318 | } |
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319 | |
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320 | void Neuro::setClass(NeuroClass* cl) |
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321 | { |
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322 | myclass = cl; |
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323 | myclassname = cl->getName(); |
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324 | knownclass = 1; |
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325 | } |
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326 | |
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327 | SString Neuro::getClassName(int classindex) |
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328 | { |
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329 | NeuroClass *cl = NeuroLibrary::staticlibrary.getClass(classindex); |
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330 | return cl ? cl->getName() : SString(); |
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331 | } |
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332 | |
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333 | void Neuro::setDetails(const SString& details) |
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334 | { |
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335 | int colon = details.indexOf(':'); |
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336 | if (colon >= 0) { myclassname = details.substr(0, colon); myclassparams = details.substr(colon + 1); } |
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337 | else { myclassname = details; myclassparams = 0; } |
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338 | knownclass = 0; |
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339 | } |
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340 | |
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341 | SString Neuro::getDetails() |
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342 | { |
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343 | SString ret = getClassName(); |
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344 | if (myclassparams.len()) { if (!ret.len()) ret = "N"; ret += ":"; ret += myclassparams; } |
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345 | return ret; |
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346 | } |
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347 | |
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348 | void Neuro::checkClass() |
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349 | { |
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350 | if (knownclass) return; |
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351 | myclass = getClass(myclassname); |
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352 | knownclass = 1; |
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353 | } |
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354 | |
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355 | SyntParam Neuro::classProperties(bool handle_defaults_when_saving) |
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356 | { |
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357 | NeuroClass *cl = getClass(); |
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358 | ParamEntry *pe = cl ? cl->getParamTab() : emptyParamTab; |
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359 | return SyntParam(pe, &myclassparams, handle_defaults_when_saving); |
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360 | } |
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361 | |
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362 | SString Neuro::getClassName() |
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363 | { |
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364 | return myclassname; |
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365 | } |
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366 | |
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367 | void Neuro::setClassName(const SString& clazz) |
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368 | { |
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369 | myclassname = clazz; |
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370 | knownclass = 0; |
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371 | } |
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372 | |
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373 | int Neuro::addInput(Neuro* child, double weight, const SString *info) |
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374 | { |
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375 | inputs += NInput(child, weight, (info && (info->len())) ? new SString(*info) : 0); |
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376 | child->parentcount++; |
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377 | if (child->parentcount == 1) { child->parent = this; } |
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378 | return inputs.size() - 1; |
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379 | } |
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380 | |
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381 | int Neuro::findInput(Neuro* child) const |
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382 | { |
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383 | for (int i = 0; i < inputs.size(); i++) |
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384 | if (inputs(i).n == child) return i; |
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385 | return -1; |
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386 | } |
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387 | |
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388 | Neuro* Neuro::getInput(int i, double &weight) const |
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389 | { |
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390 | if (i >= getInputCount()) return 0; |
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391 | NInput &inp = inputs(i); |
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392 | weight = inp.weight; |
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393 | return inp.n; |
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394 | } |
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395 | |
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396 | double Neuro::getInputWeight(int i) const |
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397 | { |
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398 | return inputs(i).weight; |
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399 | } |
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400 | |
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401 | void Neuro::setInputWeight(int i, double w) |
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402 | { |
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403 | inputs(i).weight = w; |
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404 | } |
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405 | |
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406 | void Neuro::setInput(int i, Neuro* n) |
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407 | { |
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408 | NInput &inp = inputs(i); |
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409 | inp.n = n; |
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410 | } |
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411 | |
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412 | void Neuro::setInput(int i, Neuro* n, double w) |
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413 | { |
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414 | NInput &inp = inputs(i); |
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415 | inp.n = n; |
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416 | inp.weight = w; |
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417 | } |
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418 | |
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419 | void Neuro::removeInput(int refno) |
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420 | { |
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421 | Neuro *child = getInput(refno); |
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422 | child->parentcount--; |
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423 | if (child->parent == this) child->parent = 0; |
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424 | SString *s = inputs(refno).info; |
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425 | if (s) delete s; |
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426 | inputs.remove(refno); |
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427 | } |
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428 | |
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429 | int Neuro::removeInput(Neuro* child) |
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430 | { |
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431 | int i = findInput(child); |
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432 | if (i >= 0) removeInput(i); |
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433 | return i; |
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434 | } |
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435 | |
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436 | int Neuro::getOutputsCount() const |
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437 | { |
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438 | int c = 0; |
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439 | for (int i = 0; i < owner->getNeuroCount(); i++) |
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440 | for (int j = 0; j < owner->getNeuro(i)->getInputCount(); j++) c += owner->getNeuro(i)->getInput(j) == this; |
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441 | return c; |
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442 | } |
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443 | |
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444 | int Neuro::isOldEffector() |
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445 | { |
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446 | static SString bend("|"), rot("@"); |
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447 | return ((getClassName() == bend) || (getClassName() == rot)); |
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448 | } |
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449 | |
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450 | int Neuro::isOldReceptor() |
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451 | { |
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452 | static SString g("G"), t("T"), s("S"); |
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453 | return ((getClassName() == g) || (getClassName() == t) || (getClassName() == s)); |
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454 | } |
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455 | |
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456 | int Neuro::isOldNeuron() |
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457 | { |
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458 | static SString n("N"); |
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459 | return (getClassName() == n); |
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460 | } |
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461 | |
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462 | int Neuro::isNNConnection() |
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463 | { |
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464 | static SString conn("-"); |
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465 | return (getClassName() == conn); |
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466 | } |
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467 | |
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468 | int Neuro::findInputs(SList& result, const char* classname, const Part* part, const Joint* joint) const |
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469 | { |
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470 | Neuro *nu; |
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471 | SString cn(classname); |
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472 | int n0 = result.size(); |
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473 | for (int i = 0; nu = getInput(i); i++) |
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474 | { |
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475 | if (part) |
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476 | if (nu->part != part) continue; |
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477 | if (joint) |
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478 | if (nu->joint != joint) continue; |
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479 | if (classname) |
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480 | if (nu->getClassName() != cn) continue; |
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481 | result += (void*)nu; |
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482 | } |
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483 | return result.size() - n0; |
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484 | } |
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485 | |
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486 | int Neuro::findOutputs(SList& result, const char* classname, const Part* part, const Joint* joint) const |
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487 | { // not very efficient... |
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488 | Neuro *nu, *inp; |
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489 | SString cn(classname); |
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490 | SList found; |
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491 | int n0 = result.size(); |
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492 | for (int i = 0; nu = getModel().getNeuro(i); i++) |
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493 | { |
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494 | if (part) |
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495 | if (nu->part != part) continue; |
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496 | if (joint) |
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497 | if (nu->joint != joint) continue; |
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498 | if (classname) |
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499 | if (inp->getClassName() != cn) continue; |
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500 | for (int j = 0; inp = nu->getInput(j); j++) |
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501 | if (inp == this) |
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502 | { |
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503 | result += (void*)nu; |
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504 | break; |
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505 | } |
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506 | } |
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507 | return result.size() - n0; |
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508 | } |
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509 | |
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510 | void Neuro::get_inputCount(PARAMGETARGS) |
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511 | { |
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512 | ret->setInt(inputs.size()); |
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513 | } |
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514 | |
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515 | void Neuro::p_getInputNeuroDef(ExtValue *args, ExtValue *ret) |
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516 | { |
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517 | int i = args->getInt(); |
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518 | if ((i < 0) || (i >= inputs.size())) |
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519 | ret->setEmpty(); |
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520 | else |
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521 | ret->setObject(ExtObject(&Neuro::getStaticParam(), inputs(i).n)); |
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522 | } |
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523 | |
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524 | void Neuro::p_getInputWeight(ExtValue *args, ExtValue *ret) |
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525 | { |
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526 | int i = args->getInt(); |
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527 | if ((i < 0) || (i >= inputs.size())) |
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528 | ret->setEmpty(); |
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529 | else |
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530 | ret->setDouble(inputs(i).weight); |
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531 | } |
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532 | |
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533 | void Neuro::p_getInputNeuroIndex(ExtValue *args, ExtValue *ret) |
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534 | { |
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535 | int i = args->getInt(); |
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536 | if ((i < 0) || (i >= inputs.size())) |
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537 | ret->setInt(-1); |
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538 | else |
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539 | ret->setInt(inputs(i).n->refno); |
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540 | } |
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541 | |
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542 | void Neuro::get_classObject(PARAMGETARGS) |
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543 | { |
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544 | #ifndef SDK_WITHOUT_FRAMS |
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545 | NeuroClassExt::makeStaticObject(ret, getClass()); |
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546 | #endif |
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547 | } |
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548 | |
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549 | /////////////////////////////////////// |
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550 | |
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551 | SString Part::getDefaultStyle() |
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552 | { |
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553 | return SString("part"); |
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554 | } |
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555 | SString Joint::getDefaultStyle() |
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556 | { |
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557 | return SString("joint"); |
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558 | } |
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559 | /* |
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560 | const SString& Neuro::getDefaultStyle() |
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561 | {static SString s("neuro"); return s;} |
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562 | const SString& NeuroItem::getDefaultStyle() |
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563 | {static SString s("neuroitem"); return s;} |
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564 | */ |
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565 | SString Neuro::getDefaultStyle() |
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566 | { |
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567 | return SString("neuro"); |
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568 | } |
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569 | |
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570 | Part::Part(enum Shape s) :PartBase(getDefaultStyle()) |
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571 | { |
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572 | o = Orient_1; |
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573 | p = Pt3D_0; |
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574 | rot = Pt3D_0; |
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575 | flags = 0; |
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576 | defassign(); |
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577 | shape = s; |
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578 | mass = 1; |
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579 | } |
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580 | |
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581 | void Part::operator=(const Part& src) |
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582 | { |
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583 | p = src.p; o = src.o; |
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584 | flags = src.flags; |
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585 | mass = src.mass; density = src.density; |
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586 | friction = src.friction; |
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587 | ingest = src.ingest; |
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588 | assim = src.assim; |
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589 | size = src.size; |
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590 | rot = src.rot; |
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591 | refno = src.refno; |
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592 | vcolor = src.vcolor; |
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593 | vsize = src.vsize; |
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594 | vis_style = src.vis_style; |
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595 | shape = src.shape; |
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596 | scale = src.scale; |
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597 | hollow = src.hollow; |
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598 | } |
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599 | |
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600 | void Part::setOrient(const Orient &_o) |
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601 | { |
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602 | o = _o; |
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603 | rot.getAngles(o.x, o.z); |
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604 | } |
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605 | |
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606 | void Part::setRot(const Pt3D &r) |
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607 | { |
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608 | rot = r; |
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609 | o = Orient_1; |
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610 | o.rotate(rot); |
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611 | } |
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612 | |
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613 | void Part::setPositionAndRotationFromAxis(const Pt3D &p1, const Pt3D &p2) |
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614 | { |
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615 | Pt3D x = p2 - p1; |
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616 | Pt3D dir(x.y, x.z, x.x); |
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617 | p = p1 + x*0.5; |
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618 | rot.getAngles(x, dir); |
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619 | } |
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620 | |
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621 | Param& Part::getStaticParam() |
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622 | { |
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623 | static Param p(f0_part_paramtab, 0, "Part"); |
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624 | return p; |
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625 | } |
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626 | |
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627 | |
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628 | /////////////////////////// |
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629 | |
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630 | Joint::Joint() :PartBase(getDefaultStyle()) |
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631 | { |
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632 | rot = Pt3D_0; |
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633 | defassign(); |
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634 | d.x = JOINT_DELTA_MARKER; |
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635 | d.y = JOINT_DELTA_MARKER; |
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636 | d.z = JOINT_DELTA_MARKER; |
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637 | part1 = 0; part2 = 0; |
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638 | flags = 0; |
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639 | usedelta = 0; |
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640 | } |
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641 | |
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642 | void Joint::operator=(const Joint& src) |
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643 | { |
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644 | rot = src.rot; |
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645 | d = src.d; |
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646 | shape = src.shape; |
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647 | stamina = src.stamina; |
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648 | stif = src.stif; rotstif = src.rotstif; |
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649 | vis_style = src.vis_style; |
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650 | vcolor = src.vcolor; |
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651 | part1 = 0; part2 = 0; |
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652 | flags = src.flags; |
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653 | usedelta = src.usedelta; |
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654 | refno = src.refno; |
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655 | } |
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656 | |
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657 | void Joint::attachToParts(Part* p1, Part* p2) |
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658 | { |
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659 | part1 = p1; |
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660 | part2 = p2; |
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661 | if (p1 && p2) |
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662 | { |
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663 | o = rot; |
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664 | if (usedelta) |
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665 | { |
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666 | p1->o.transform(p2->o, o); |
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667 | // p2->o.x=p1->o/o.x; p2->o.y=p1->o/o.y; p2->o.z=p1->o/o.z; |
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668 | p2->p = p2->o.transform(d) + p1->p; |
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669 | } |
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670 | } |
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671 | } |
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672 | |
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673 | void Joint::attachToParts(int p1, int p2) |
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674 | { |
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675 | attachToParts((p1 >= 0) ? owner->getPart(p1) : 0, (p2 >= 0) ? owner->getPart(p2) : 0); |
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676 | } |
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677 | |
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678 | void Joint::resetDelta() |
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679 | { |
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680 | d = Pt3D(JOINT_DELTA_MARKER, JOINT_DELTA_MARKER, JOINT_DELTA_MARKER); |
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681 | } |
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682 | |
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683 | void Joint::resetDeltaMarkers() |
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684 | { |
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685 | if (d.x == JOINT_DELTA_MARKER) d.x = 0; |
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686 | if (d.y == JOINT_DELTA_MARKER) d.y = 0; |
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687 | if (d.z == JOINT_DELTA_MARKER) d.z = 0; |
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688 | } |
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689 | |
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690 | void Joint::useDelta(bool use) |
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691 | { |
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692 | usedelta = use; |
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693 | } |
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694 | |
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695 | bool Joint::isDelta() |
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696 | { |
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697 | return usedelta; |
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698 | } |
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699 | |
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700 | Param& Joint::getStaticParam() |
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701 | { |
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702 | static Param p(f0_joint_paramtab, 0, "Joint"); |
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703 | return p; |
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704 | } |
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705 | |
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706 | ///////////////////////////////////////////////////////////////// |
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707 | |
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708 | #include F0_CLASSES_FILE |
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709 | |
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710 | //////////////////////////////////////// |
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711 | |
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712 | ParamEntry Neuro::emptyParamTab[] = |
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713 | { |
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714 | { "Undefined Neuro", 1, 0, "?", }, |
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715 | { 0, 0, 0, }, |
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716 | }; |
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717 | |
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718 | Param Part::extraProperties() |
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719 | { |
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720 | return Param(f0_part_xtra_paramtab, this); |
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721 | } |
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722 | |
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723 | Param Joint::extraProperties() |
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724 | { |
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725 | return Param(f0_joint_xtra_paramtab, this); |
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726 | } |
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727 | |
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728 | Param Neuro::extraProperties() |
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729 | { |
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730 | return Param(f0_neuro_xtra_paramtab, this); |
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731 | } |
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732 | |
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733 | Param Part::properties() |
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734 | { |
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735 | return Param(f0_part_paramtab, this); |
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736 | } |
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737 | |
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738 | Param Joint::properties() |
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739 | { |
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740 | return Param(usedelta ? f0_joint_paramtab : f0_nodeltajoint_paramtab, this); |
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741 | } |
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742 | |
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743 | Param Neuro::properties() |
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744 | { |
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745 | return Param(f0_neuro_paramtab, this); |
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746 | } |
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747 | |
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748 | class NeuroExtParamTab : public ParamTab |
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749 | { |
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750 | public: |
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751 | NeuroExtParamTab() :ParamTab(f0_neuro_paramtab) |
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752 | { |
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753 | #define FIELDSTRUCT NeuroExt |
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754 | ParamEntry entry = { "class", 2, 0, "neuro class", "s", GETSET(neuroclass) }; |
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755 | #undef FIELDSTRUCT |
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756 | add(&entry); |
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757 | |
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758 | #define FIELDSTRUCT Neuro |
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759 | ParamEntry entry2 = { "state", 2, 0, "state", "f", FIELD(state) }; |
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760 | #undef FIELDSTRUCT |
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761 | add(&entry2); |
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762 | } |
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763 | }; |
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764 | |
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765 | Param& Neuro::getStaticParam() |
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766 | { |
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767 | static Param p(f0_neuro_paramtab, 0, "NeuroDef"); |
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768 | return p; |
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769 | } |
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770 | |
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771 | //////////////////////// |
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772 | |
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773 | NeuroConn::NeuroConn() |
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774 | { |
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775 | defassign(); |
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776 | } |
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777 | |
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778 | ////////////////////////////////////// |
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779 | |
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780 | ParamEntry *NeuroExt::getParamTab() |
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781 | { |
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782 | static NeuroExtParamTab tab; |
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783 | return tab.getParamTab(); |
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784 | } |
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785 | |
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786 | void NeuroExt::get_neuroclass(PARAMGETARGS) |
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787 | { |
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788 | ret->setString(getClassName()); |
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789 | } |
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790 | |
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791 | int NeuroExt::set_neuroclass(PARAMSETARGS) |
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792 | { |
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793 | setClassName(arg->getString()); return PSET_CHANGED; |
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794 | } |
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