1 | // This file is a part of Framsticks SDK. http://www.framsticks.com/ |
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2 | // Copyright (C) 1999-2019 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 | ///////////////////////// |
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32 | |
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33 | PartBase::~PartBase() |
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34 | { |
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35 | if (mapped) delete mapped; |
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36 | } |
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37 | |
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38 | void PartBase::notifyMappingChange() |
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39 | { |
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40 | if (owner) owner->partmappingchanged = 1; |
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41 | } |
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42 | |
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43 | void PartBase::setMapping(const IRange &r) |
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44 | { |
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45 | if (mapped) (*mapped) = r; |
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46 | else mapped = new MultiRange(r); |
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47 | notifyMappingChange(); |
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48 | } |
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49 | |
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50 | void PartBase::clearMapping() |
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51 | { |
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52 | if (mapped) { delete mapped; mapped = 0; } |
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53 | } |
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54 | |
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55 | void PartBase::addMapping(const IRange &r) |
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56 | { |
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57 | if (mapped) mapped->add(r); |
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58 | else mapped = new MultiRange(r); |
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59 | notifyMappingChange(); |
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60 | } |
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61 | |
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62 | void PartBase::setMapping(const MultiRange &mr) |
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63 | { |
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64 | if (mapped) (*mapped) = mr; |
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65 | else mapped = new MultiRange(mr); |
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66 | notifyMappingChange(); |
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67 | } |
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68 | |
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69 | void PartBase::addMapping(const MultiRange &mr) |
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70 | { |
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71 | if (mapped) mapped->add(mr); |
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72 | else mapped = new MultiRange(mr); |
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73 | notifyMappingChange(); |
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74 | } |
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75 | |
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76 | void PartBase::setInfo(const SString &name, const SString &value) |
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77 | { |
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78 | strSetField(info, name, value); |
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79 | } |
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80 | |
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81 | void PartBase::setInfo(const SString &name, int value) |
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82 | { |
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83 | setInfo(name, SString::valueOf(value)); |
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84 | } |
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85 | |
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86 | void PartBase::setInfo(const SString &name, double value) |
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87 | { |
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88 | setInfo(name, SString::valueOf(value)); |
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89 | } |
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90 | |
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91 | SString PartBase::getInfo(const SString &name) |
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92 | { |
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93 | return strGetField(info, name); |
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94 | } |
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95 | |
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96 | ///////////////////////// |
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97 | |
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98 | NeuroClass::NeuroClass(ParamEntry *_props, SString _description, |
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99 | int _prefinputs, int _prefoutput, int _preflocation, |
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100 | int *_vectordata, bool own_vd, int vhints) |
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101 | :ownedvectordata(own_vd), |
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102 | name(_props->name), longname(_props->id), description(_description), |
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103 | props(_props), ownedprops(false), |
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104 | prefinputs(_prefinputs), |
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105 | prefoutput(_prefoutput), |
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106 | preflocation(_preflocation), |
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107 | vectordata(_vectordata), |
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108 | visualhints(vhints), impl_count(0),/*impl(0),*/active(1), genactive(0) |
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109 | {} |
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110 | |
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111 | NeuroClass::~NeuroClass() |
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112 | { |
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113 | setSymbolGlyph(0, 0); |
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114 | if (props && ownedprops) |
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115 | ParamObject::freeParamTab(props); |
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116 | } |
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117 | |
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118 | NeuroClass::NeuroClass() |
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119 | :ownedvectordata(0), |
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120 | name("Invalid"), |
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121 | props(empty_paramtab), ownedprops(false), |
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122 | prefinputs(0), prefoutput(0), |
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123 | preflocation(0), vectordata(0), |
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124 | visualhints(0), impl_count(0), /*impl(0),*/ active(1), genactive(0) |
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125 | {} |
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126 | |
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127 | void NeuroClass::resetActive() |
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128 | { |
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129 | for (int i = 0; i < Neuro::getClassCount(); i++) |
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130 | { |
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131 | Neuro::getClass(i)->genactive = 0; |
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132 | Neuro::getClass(i)->active = 1; |
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133 | } |
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134 | } |
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135 | |
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136 | void NeuroClass::setGenActive(const char *genactive_classes[]) |
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137 | { |
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138 | for (const char **n = genactive_classes; *n; n++) |
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139 | { |
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140 | NeuroClass *cls = Neuro::getClass(*n); |
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141 | if (cls) cls->genactive = 1; |
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142 | } |
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143 | } |
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144 | |
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145 | SString NeuroClass::getSummary() |
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146 | { |
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147 | SString t; |
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148 | t = getDescription(); |
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149 | if (t.len()) t += "\n\n"; |
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150 | t += "Characteristics:\n"; |
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151 | if (getPreferredInputs()) |
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152 | { |
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153 | if (getPreferredInputs() < 0) t += " supports any number of inputs\n"; |
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154 | else if (getPreferredInputs() == 1) t += " uses single input\n"; |
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155 | else t += SString::sprintf(" uses %d inputs\n", getPreferredInputs()); |
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156 | } |
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157 | else t += " does not use inputs\n"; |
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158 | if (getPreferredOutput()) |
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159 | t += " provides output value\n"; |
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160 | else |
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161 | t += " does not provide output value\n"; |
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162 | switch (getPreferredLocation()) |
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163 | { |
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164 | case 0: t += " does not require location in body\n"; break; |
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165 | case 1: t += " should be located on a Part\n"; break; |
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166 | case 2: t += " should be located on a Joint\n"; break; |
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167 | } |
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168 | Param p = getProperties(); |
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169 | if (p.getPropCount()) |
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170 | { |
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171 | if (t.len()) t += "\n\n"; |
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172 | t += "Properties:\n"; |
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173 | const char *h; |
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174 | int i; |
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175 | for (i = 0; i < p.getPropCount(); i++) |
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176 | { |
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177 | if (i) t += "\n"; |
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178 | t += " "; t += p.name(i); t += " ("; t += p.id(i); t += ") "; |
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179 | t += p.friendlyTypeDescr(i); |
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180 | if (h = p.help(i)) if (*h) { t += " - "; t += h; } |
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181 | } |
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182 | } |
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183 | return t; |
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184 | } |
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185 | |
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186 | ///////////////////////// |
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187 | |
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188 | ///////////////////////////////////// |
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189 | |
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190 | Neuro::Neuro(double _state, double _inertia, double _force, double _sigmo) |
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191 | :PartBase(getDefaultStyle()), state(_state) |
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192 | { |
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193 | flags = 0; |
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194 | myclass = 0; |
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195 | knownclass = 1; |
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196 | part_refno = -1; joint_refno = -1; |
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197 | } |
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198 | |
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199 | Neuro::Neuro(void) :PartBase(getDefaultStyle()) |
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200 | { |
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201 | defassign(); |
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202 | state = 0.0; |
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203 | myclass = NULL; |
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204 | myclassname = "N";//default d="N" but f0.def is unable to set this (d is GETSET, not a regular FIELD) |
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205 | knownclass = 0; |
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206 | refno = 0; |
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207 | pos = Pt3D_0; rot = Pt3D_0; |
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208 | parent = 0; part = 0; joint = 0; |
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209 | parentcount = 0; |
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210 | flags = 0; |
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211 | part_refno = -1; joint_refno = -1; |
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212 | } |
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213 | |
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214 | |
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215 | Neuro::~Neuro() |
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216 | { |
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217 | int i; |
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218 | for (i = 0; i < inputs.size(); i++) |
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219 | { |
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220 | NInput &ni = inputs(i); |
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221 | if (ni.info) delete ni.info; |
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222 | } |
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223 | } |
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224 | |
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225 | SString **Neuro::inputInfo(int i) |
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226 | { |
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227 | if (i >= getInputCount()) return 0; |
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228 | return &inputs(i).info; |
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229 | } |
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230 | |
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231 | void Neuro::setInputInfo(int i, const SString &name, const SString &value) |
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232 | { |
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233 | SString **s = inputInfo(i); |
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234 | if (!s) return; |
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235 | if (!*s) *s = new SString(); |
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236 | strSetField(**s, name, value); |
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237 | } |
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238 | |
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239 | void Neuro::setInputInfo(int i, const SString &name, int value) |
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240 | { |
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241 | setInputInfo(i, name, SString::valueOf(value)); |
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242 | } |
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243 | |
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244 | void Neuro::setInputInfo(int i, const SString &name, double value) |
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245 | { |
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246 | setInputInfo(i, name, SString::valueOf(value)); |
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247 | } |
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248 | |
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249 | SString Neuro::getInputInfo(int i) |
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250 | { |
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251 | SString **s = inputInfo(i); |
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252 | if (!s) return SString(); |
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253 | if (!*s) return SString(); |
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254 | return **s; |
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255 | } |
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256 | |
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257 | SString Neuro::getInputInfo(int i, const SString &name) |
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258 | { |
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259 | SString **s = inputInfo(i); |
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260 | if (!s) return SString(); |
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261 | if (!*s) return SString(); |
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262 | return strGetField(**s, name); |
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263 | } |
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264 | |
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265 | void Neuro::operator=(const Neuro &src) |
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266 | { |
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267 | refno = src.refno; |
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268 | state = src.state; |
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269 | part_refno = -1; |
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270 | joint_refno = -1; |
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271 | pos = src.pos; rot = src.rot; |
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272 | parent = 0; part = 0; joint = 0; |
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273 | parentcount = 0; |
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274 | flags = 0; |
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275 | myclass = src.myclass; |
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276 | knownclass = src.knownclass; |
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277 | myclassname = src.myclassname; |
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278 | myclassparams = src.myclassparams; |
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279 | } |
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280 | |
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281 | void Neuro::attachToPart(int i) |
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282 | { |
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283 | attachToPart((i >= 0) ? owner->getPart(i) : 0); |
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284 | } |
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285 | |
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286 | void Neuro::attachToJoint(int i) |
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287 | { |
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288 | attachToJoint((i >= 0) ? owner->getJoint(i) : 0); |
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289 | } |
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290 | |
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291 | int Neuro::getClassCount() |
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292 | { |
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293 | return NeuroLibrary::staticlibrary.getClassCount(); |
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294 | } |
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295 | |
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296 | NeuroClass *Neuro::getClass(int classindex) |
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297 | { |
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298 | return NeuroLibrary::staticlibrary.getClass(classindex); |
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299 | } |
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300 | |
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301 | NeuroClass *Neuro::getClass(const SString &classname) |
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302 | { |
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303 | return NeuroLibrary::staticlibrary.findClass(classname); |
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304 | } |
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305 | |
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306 | int Neuro::getClassIndex(const NeuroClass *nc) |
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307 | { |
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308 | return NeuroLibrary::staticlibrary.classes.find((void *)nc); |
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309 | } |
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310 | |
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311 | NeuroClass *Neuro::getClass() |
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312 | { |
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313 | checkClass(); |
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314 | return myclass; |
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315 | } |
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316 | |
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317 | void Neuro::setClass(NeuroClass *cl) |
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318 | { |
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319 | myclass = cl; |
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320 | myclassname = cl->getName(); |
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321 | knownclass = 1; |
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322 | } |
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323 | |
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324 | SString Neuro::getClassName(int classindex) |
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325 | { |
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326 | NeuroClass *cl = NeuroLibrary::staticlibrary.getClass(classindex); |
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327 | return cl ? cl->getName() : SString(); |
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328 | } |
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329 | |
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330 | void Neuro::setDetails(const SString &details) |
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331 | { |
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332 | int colon = details.indexOf(':'); |
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333 | if (colon >= 0) { myclassname = details.substr(0, colon); myclassparams = details.substr(colon + 1); } |
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334 | else { myclassname = details; myclassparams = 0; } |
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335 | knownclass = 0; |
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336 | } |
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337 | |
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338 | SString Neuro::getDetails() |
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339 | { |
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340 | SString ret = getClassName(); |
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341 | if (myclassparams.len()) { if (!ret.len()) ret = "N"; ret += ":"; ret += myclassparams; } |
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342 | return ret; |
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343 | } |
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344 | |
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345 | void Neuro::checkClass() |
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346 | { |
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347 | if (knownclass) return; |
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348 | myclass = getClass(myclassname); |
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349 | knownclass = 1; |
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350 | } |
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351 | |
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352 | SyntParam Neuro::classProperties(bool handle_defaults_when_saving) |
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353 | { |
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354 | NeuroClass *cl = getClass(); |
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355 | ParamEntry *pe = cl ? cl->getParamTab() : emptyParamTab; |
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356 | return SyntParam(pe, &myclassparams, handle_defaults_when_saving); |
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357 | } |
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358 | |
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359 | SString Neuro::getClassName() |
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360 | { |
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361 | return myclassname; |
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362 | } |
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363 | |
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364 | void Neuro::setClassName(const SString &clazz) |
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365 | { |
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366 | myclassname = clazz; |
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367 | knownclass = 0; |
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368 | } |
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369 | |
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370 | int Neuro::addInput(Neuro *child, double weight, const SString *info) |
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371 | { |
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372 | inputs += NInput(child, weight, (info && (info->len())) ? new SString(*info) : 0); |
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373 | child->parentcount++; |
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374 | if (child->parentcount == 1) { child->parent = this; } |
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375 | return inputs.size() - 1; |
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376 | } |
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377 | |
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378 | int Neuro::findInput(Neuro *child) const |
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379 | { |
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380 | for (int i = 0; i < inputs.size(); i++) |
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381 | if (inputs(i).n == child) return i; |
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382 | return -1; |
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383 | } |
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384 | |
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385 | Neuro *Neuro::getInput(int i, double &weight) const |
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386 | { |
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387 | if (i >= getInputCount()) return 0; |
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388 | NInput &inp = inputs(i); |
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389 | weight = inp.weight; |
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390 | return inp.n; |
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391 | } |
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392 | |
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393 | double Neuro::getInputWeight(int i) const |
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394 | { |
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395 | return inputs(i).weight; |
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396 | } |
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397 | |
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398 | void Neuro::setInputWeight(int i, double w) |
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399 | { |
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400 | inputs(i).weight = w; |
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401 | } |
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402 | |
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403 | void Neuro::setInput(int i, Neuro *n) |
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404 | { |
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405 | NInput &inp = inputs(i); |
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406 | inp.n = n; |
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407 | } |
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408 | |
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409 | void Neuro::setInput(int i, Neuro *n, double w) |
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410 | { |
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411 | NInput &inp = inputs(i); |
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412 | inp.n = n; |
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413 | inp.weight = w; |
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414 | } |
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415 | |
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416 | void Neuro::removeInput(int refno) |
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417 | { |
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418 | Neuro *child = getInput(refno); |
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419 | child->parentcount--; |
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420 | if (child->parent == this) child->parent = 0; |
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421 | SString *s = inputs(refno).info; |
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422 | if (s) delete s; |
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423 | inputs.remove(refno); |
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424 | } |
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425 | |
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426 | int Neuro::removeInput(Neuro *child) |
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427 | { |
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428 | int i = findInput(child); |
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429 | if (i >= 0) removeInput(i); |
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430 | return i; |
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431 | } |
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432 | |
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433 | int Neuro::getOutputsCount() const |
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434 | { |
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435 | int c = 0; |
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436 | for (int i = 0; i < owner->getNeuroCount(); i++) |
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437 | for (int j = 0; j < owner->getNeuro(i)->getInputCount(); j++) c += owner->getNeuro(i)->getInput(j) == this; |
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438 | return c; |
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439 | } |
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440 | |
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441 | int Neuro::isOldEffector() |
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442 | { |
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443 | static SString bend("|"), rot("@"); |
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444 | return ((getClassName() == bend) || (getClassName() == rot)); |
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445 | } |
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446 | |
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447 | int Neuro::isOldReceptor() |
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448 | { |
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449 | static SString g("G"), t("T"), s("S"); |
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450 | return ((getClassName() == g) || (getClassName() == t) || (getClassName() == s)); |
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451 | } |
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452 | |
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453 | int Neuro::isOldNeuron() |
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454 | { |
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455 | static SString n("N"); |
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456 | return (getClassName() == n); |
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457 | } |
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458 | |
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459 | int Neuro::isNNConnection() |
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460 | { |
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461 | static SString conn("-"); |
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462 | return (getClassName() == conn); |
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463 | } |
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464 | |
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465 | int Neuro::findInputs(SList &result, const char *classname, const Part *part, const Joint *joint) const |
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466 | { |
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467 | Neuro *nu; |
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468 | SString cn(classname); |
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469 | int n0 = result.size(); |
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470 | for (int i = 0; nu = getInput(i); i++) |
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471 | { |
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472 | if (part) |
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473 | if (nu->part != part) continue; |
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474 | if (joint) |
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475 | if (nu->joint != joint) continue; |
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476 | if (classname) |
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477 | if (nu->getClassName() != cn) continue; |
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478 | result += (void *)nu; |
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479 | } |
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480 | return result.size() - n0; |
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481 | } |
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482 | |
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483 | int Neuro::findOutputs(SList &result, const char *classname, const Part *part, const Joint *joint) const |
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484 | { // not very efficient... |
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485 | Neuro *nu, *inp; |
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486 | SString cn(classname); |
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487 | SList found; |
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488 | int n0 = result.size(); |
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489 | for (int i = 0; nu = getModel().getNeuro(i); i++) |
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490 | { |
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491 | if (part) |
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492 | if (nu->part != part) continue; |
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493 | if (joint) |
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494 | if (nu->joint != joint) continue; |
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495 | if (classname) |
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496 | if (inp->getClassName() != cn) continue; |
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497 | for (int j = 0; inp = nu->getInput(j); j++) |
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498 | if (inp == this) |
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499 | { |
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500 | result += (void *)nu; |
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501 | break; |
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502 | } |
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503 | } |
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504 | return result.size() - n0; |
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505 | } |
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506 | |
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507 | void Neuro::get_inputCount(PARAMGETARGS) |
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508 | { |
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509 | ret->setInt(inputs.size()); |
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510 | } |
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511 | |
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512 | void Neuro::p_getInputNeuroDef(ExtValue *args, ExtValue *ret) |
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513 | { |
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514 | int i = args->getInt(); |
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515 | if ((i < 0) || (i >= inputs.size())) |
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516 | ret->setEmpty(); |
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517 | else |
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518 | ret->setObject(ExtObject(&Neuro::getStaticParam(), inputs(i).n)); |
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519 | } |
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520 | |
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521 | void Neuro::p_getInputWeight(ExtValue *args, ExtValue *ret) |
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522 | { |
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523 | int i = args->getInt(); |
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524 | if ((i < 0) || (i >= inputs.size())) |
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525 | ret->setEmpty(); |
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526 | else |
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527 | ret->setDouble(inputs(i).weight); |
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528 | } |
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529 | |
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530 | void Neuro::p_getInputNeuroIndex(ExtValue *args, ExtValue *ret) |
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531 | { |
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532 | int i = args->getInt(); |
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533 | if ((i < 0) || (i >= inputs.size())) |
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534 | ret->setInt(-1); |
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535 | else |
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536 | ret->setInt(inputs(i).n->refno); |
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537 | } |
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538 | |
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539 | void Neuro::get_classObject(PARAMGETARGS) |
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540 | { |
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541 | #ifndef SDK_WITHOUT_FRAMS |
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542 | NeuroClassExt::makeStaticObject(ret, getClass()); |
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543 | #endif |
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544 | } |
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545 | |
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546 | /////////////////////////////////////// |
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547 | |
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548 | SString Part::getDefaultStyle() |
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549 | { |
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550 | return SString("part"); |
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551 | } |
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552 | SString Joint::getDefaultStyle() |
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553 | { |
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554 | return SString("joint"); |
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555 | } |
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556 | /* |
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557 | const SString& Neuro::getDefaultStyle() |
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558 | {static SString s("neuro"); return s;} |
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559 | const SString& NeuroItem::getDefaultStyle() |
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560 | {static SString s("neuroitem"); return s;} |
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561 | */ |
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562 | SString Neuro::getDefaultStyle() |
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563 | { |
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564 | return SString("neuro"); |
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565 | } |
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566 | |
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567 | Part::Part(enum Shape s) :PartBase(getDefaultStyle()) |
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568 | { |
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569 | o = Orient_1; |
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570 | p = Pt3D_0; |
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571 | rot = Pt3D_0; |
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572 | flags = 0; |
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573 | defassign(); |
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574 | shape = s; |
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575 | mass = 1; |
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576 | } |
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577 | |
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578 | void Part::operator=(const Part &src) |
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579 | { |
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580 | p = src.p; o = src.o; |
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581 | flags = src.flags; |
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582 | mass = src.mass; density = src.density; |
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583 | friction = src.friction; |
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584 | ingest = src.ingest; |
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585 | assim = src.assim; |
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586 | size = src.size; |
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587 | rot = src.rot; |
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588 | refno = src.refno; |
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589 | vcolor = src.vcolor; |
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590 | vsize = src.vsize; |
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591 | vis_style = src.vis_style; |
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592 | shape = src.shape; |
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593 | scale = src.scale; |
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594 | hollow = src.hollow; |
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595 | } |
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596 | |
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597 | void Part::setOrient(const Orient &_o) |
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598 | { |
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599 | o = _o; |
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600 | rot.getAngles(o.x, o.z); |
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601 | } |
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602 | |
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603 | void Part::setRot(const Pt3D &r) |
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604 | { |
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605 | rot = r; |
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606 | o = Orient_1; |
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607 | o.rotate(rot); |
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608 | } |
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609 | |
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610 | void Part::setPositionAndRotationFromAxis(const Pt3D &p1, const Pt3D &p2) |
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611 | { |
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612 | Pt3D x = p2 - p1; |
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613 | Pt3D dir(x.y, x.z, x.x); |
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614 | p = p1 + x * 0.5; |
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615 | rot.getAngles(x, dir); |
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616 | } |
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617 | |
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618 | Param &Part::getStaticParam() |
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619 | { |
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620 | static Param p(f0_part_paramtab, 0, "Part"); |
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621 | return p; |
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622 | } |
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623 | |
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624 | |
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625 | /////////////////////////// |
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626 | |
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627 | Joint::Joint() :PartBase(getDefaultStyle()) |
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628 | { |
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629 | rot = Pt3D_0; |
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630 | defassign(); |
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631 | d.x = JOINT_DELTA_MARKER; |
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632 | d.y = JOINT_DELTA_MARKER; |
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633 | d.z = JOINT_DELTA_MARKER; |
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634 | part1 = 0; part2 = 0; |
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635 | flags = 0; |
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636 | usedelta = 0; |
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637 | } |
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638 | |
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639 | void Joint::operator=(const Joint &src) |
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640 | { |
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641 | rot = src.rot; |
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642 | d = src.d; |
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643 | shape = src.shape; |
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644 | stamina = src.stamina; |
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645 | stif = src.stif; rotstif = src.rotstif; |
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646 | vis_style = src.vis_style; |
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647 | vcolor = src.vcolor; |
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648 | part1 = 0; part2 = 0; |
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649 | flags = src.flags; |
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650 | usedelta = src.usedelta; |
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651 | refno = src.refno; |
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652 | } |
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653 | |
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654 | void Joint::attachToParts(Part *p1, Part *p2) |
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655 | { |
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656 | part1 = p1; |
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657 | part2 = p2; |
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658 | if (p1 && p2) |
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659 | { |
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660 | o = rot; |
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661 | if (usedelta) |
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662 | { |
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663 | p1->o.transform(p2->o, o); |
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664 | // 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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665 | p2->p = p2->o.transform(d) + p1->p; |
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666 | } |
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667 | } |
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668 | } |
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669 | |
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670 | void Joint::attachToParts(int p1, int p2) |
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671 | { |
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672 | attachToParts((p1 >= 0) ? owner->getPart(p1) : 0, (p2 >= 0) ? owner->getPart(p2) : 0); |
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673 | } |
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674 | |
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675 | void Joint::resetDelta() |
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676 | { |
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677 | d = Pt3D(JOINT_DELTA_MARKER, JOINT_DELTA_MARKER, JOINT_DELTA_MARKER); |
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678 | } |
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679 | |
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680 | void Joint::resetDeltaMarkers() |
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681 | { |
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682 | if (d.x == JOINT_DELTA_MARKER) d.x = 0; |
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683 | if (d.y == JOINT_DELTA_MARKER) d.y = 0; |
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684 | if (d.z == JOINT_DELTA_MARKER) d.z = 0; |
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685 | } |
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686 | |
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687 | void Joint::useDelta(bool use) |
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688 | { |
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689 | usedelta = use; |
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690 | } |
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691 | |
---|
692 | bool Joint::isDelta() |
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693 | { |
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694 | return usedelta; |
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695 | } |
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696 | |
---|
697 | Param &Joint::getStaticParam() |
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698 | { |
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699 | static Param p(f0_joint_paramtab, 0, "Joint"); |
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700 | return p; |
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701 | } |
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702 | |
---|
703 | ///////////////////////////////////////////////////////////////// |
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704 | |
---|
705 | #include F0_CLASSES_FILE |
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706 | |
---|
707 | //////////////////////////////////////// |
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708 | |
---|
709 | ParamEntry Neuro::emptyParamTab[] = |
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710 | { |
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711 | { "Undefined Neuro", 1, 0, "?", }, |
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712 | { 0, 0, 0, }, |
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713 | }; |
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714 | |
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715 | Param Part::extraProperties() |
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716 | { |
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717 | return Param(f0_part_xtra_paramtab, this); |
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718 | } |
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719 | |
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720 | Param Joint::extraProperties() |
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721 | { |
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722 | return Param(f0_joint_xtra_paramtab, this); |
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723 | } |
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724 | |
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725 | Param Neuro::extraProperties() |
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726 | { |
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727 | return Param(f0_neuro_xtra_paramtab, this); |
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728 | } |
---|
729 | |
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730 | Param Part::properties() |
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731 | { |
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732 | return Param(f0_part_paramtab, this); |
---|
733 | } |
---|
734 | |
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735 | Param Joint::properties() |
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736 | { |
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737 | return Param(usedelta ? f0_joint_paramtab : f0_nodeltajoint_paramtab, this); |
---|
738 | } |
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739 | |
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740 | Param Neuro::properties() |
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741 | { |
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742 | return Param(f0_neuro_paramtab, this); |
---|
743 | } |
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744 | |
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745 | class NeuroExtParamTab : public ParamTab |
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746 | { |
---|
747 | public: |
---|
748 | NeuroExtParamTab() :ParamTab(f0_neuro_paramtab) |
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749 | { |
---|
750 | #define FIELDSTRUCT NeuroExt |
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751 | ParamEntry entry = { "class", 2, 0, "neuro class", "s", GETSET(neuroclass) }; |
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752 | #undef FIELDSTRUCT |
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753 | add(&entry); |
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754 | |
---|
755 | #define FIELDSTRUCT Neuro |
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756 | ParamEntry entry2 = { "state", 2, 0, "state", "f", FIELD(state) }; |
---|
757 | #undef FIELDSTRUCT |
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758 | add(&entry2); |
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759 | } |
---|
760 | }; |
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761 | |
---|
762 | Param &Neuro::getStaticParam() |
---|
763 | { |
---|
764 | static Param p(f0_neuro_paramtab, 0, "NeuroDef"); |
---|
765 | return p; |
---|
766 | } |
---|
767 | |
---|
768 | //////////////////////// |
---|
769 | |
---|
770 | NeuroConn::NeuroConn() |
---|
771 | { |
---|
772 | defassign(); |
---|
773 | } |
---|
774 | |
---|
775 | ////////////////////////////////////// |
---|
776 | |
---|
777 | ParamEntry *NeuroExt::getParamTab() |
---|
778 | { |
---|
779 | static NeuroExtParamTab tab; |
---|
780 | return tab.getParamTab(); |
---|
781 | } |
---|
782 | |
---|
783 | void NeuroExt::get_neuroclass(PARAMGETARGS) |
---|
784 | { |
---|
785 | ret->setString(getClassName()); |
---|
786 | } |
---|
787 | |
---|
788 | int NeuroExt::set_neuroclass(PARAMSETARGS) |
---|
789 | { |
---|
790 | setClassName(arg->getString()); return PSET_CHANGED; |
---|
791 | } |
---|