1 | // This file is a part of Framsticks SDK. http://www.framsticks.com/ |
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2 | // Copyright (C) 1999-2015 Maciej Komosinski and Szymon Ulatowski. |
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3 | // See LICENSE.txt for details. |
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4 | |
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5 | #include <common/nonstd_math.h> |
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6 | #include "model.h" |
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7 | #include <common/log.h> |
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8 | #include <frams/util/multimap.h> |
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9 | #include <common/loggers/loggers.h> |
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10 | |
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11 | Model::Model() |
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12 | { |
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13 | autobuildmaps = false; |
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14 | init(); |
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15 | } |
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16 | |
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17 | void Model::init() |
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18 | { |
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19 | partmappingchanged = 0; |
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20 | buildstatus = empty; |
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21 | modelfromgenotype = 0; |
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22 | startenergy = 1.0; |
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23 | checklevel = 1; |
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24 | #ifdef MODEL_V1_COMPATIBLE |
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25 | oldneurocount=-1; // == unknown |
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26 | oldconnections=0; |
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27 | #endif |
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28 | map = 0; |
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29 | f0map = 0; |
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30 | f0genoknown = 1; |
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31 | shape = SHAPE_UNKNOWN; |
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32 | } |
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33 | |
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34 | void Model::moveElementsFrom(Model &source) |
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35 | { |
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36 | int i; |
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37 | open(); |
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38 | for (i = 0; i < source.getPartCount(); i++) |
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39 | addPart(source.getPart(i)); |
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40 | for (i = 0; i < source.getJointCount(); i++) |
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41 | addJoint(source.getJoint(i)); |
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42 | for (i = 0; i < source.getNeuroCount(); i++) |
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43 | addNeuro(source.getNeuro(i)); |
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44 | source.parts.clear(); source.joints.clear(); source.neurons.clear(); |
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45 | source.clear(); |
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46 | } |
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47 | |
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48 | void Model::internalCopy(const Model &mod) |
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49 | { |
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50 | geno = mod.geno; |
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51 | f0genoknown = 0; |
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52 | startenergy = mod.startenergy; |
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53 | if (mod.getStatus() == valid) |
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54 | { |
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55 | modelfromgenotype = mod.modelfromgenotype; |
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56 | {for (int i = 0; i < mod.getPartCount(); i++) |
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57 | addPart(new Part(*mod.getPart(i))); } |
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58 | {for (int i = 0; i < mod.getJointCount(); i++) |
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59 | { |
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60 | Joint *oldj = mod.getJoint(i); |
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61 | Joint *j = new Joint(*oldj); |
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62 | addJoint(j); |
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63 | j->attachToParts(oldj->part1->refno, oldj->part2->refno); |
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64 | }} |
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65 | {for (int i = 0; i < mod.getNeuroCount(); i++) |
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66 | { |
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67 | Neuro *oldn = mod.getNeuro(i); |
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68 | Neuro *n = new Neuro(*oldn); |
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69 | addNeuro(n); |
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70 | if (oldn->part_refno >= 0) n->attachToPart(oldn->part_refno); |
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71 | else n->attachToJoint(oldn->joint_refno); |
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72 | }} |
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73 | for (int i = 0; i < mod.getNeuroCount(); i++) |
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74 | { |
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75 | Neuro *oldn = mod.getNeuro(i); |
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76 | Neuro *n = getNeuro(i); |
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77 | for (int ni = 0; ni < oldn->getInputCount(); ni++) |
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78 | { |
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79 | double w; |
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80 | Neuro *oldinput = oldn->getInput(ni, w); |
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81 | SString info = n->getInputInfo(ni); |
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82 | n->addInput(getNeuro(oldinput->refno), w, &info); |
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83 | } |
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84 | } |
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85 | } |
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86 | } |
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87 | |
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88 | |
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89 | Model::Model(const Geno &src, bool buildmaps) |
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90 | :autobuildmaps(buildmaps) |
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91 | { |
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92 | init(src); |
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93 | } |
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94 | |
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95 | void Model::operator=(const Model &mod) |
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96 | { |
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97 | clear(); |
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98 | open(); |
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99 | internalCopy(mod); |
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100 | buildstatus = mod.buildstatus; |
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101 | } |
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102 | |
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103 | Model::Model(const Model &mod, bool buildmaps) |
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104 | :autobuildmaps(buildmaps) |
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105 | { |
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106 | init(); |
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107 | open(); |
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108 | internalCopy(mod); |
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109 | buildstatus = mod.buildstatus; |
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110 | } |
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111 | |
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112 | void Model::init(const Geno &src) |
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113 | { |
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114 | init(); |
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115 | modelfromgenotype = 1; |
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116 | geno = src; |
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117 | build(); |
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118 | } |
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119 | |
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120 | void Model::resetAllDelta() |
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121 | { |
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122 | for (int i = 0; i < getJointCount(); i++) |
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123 | getJoint(i)->resetDelta(); |
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124 | } |
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125 | |
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126 | void Model::useAllDelta(bool yesno) |
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127 | { |
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128 | for (int i = 0; i < getJointCount(); i++) |
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129 | getJoint(i)->useDelta(yesno); |
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130 | } |
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131 | |
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132 | Model::~Model() |
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133 | { |
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134 | delmodel_list.action((intptr_t)this); |
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135 | clear(); |
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136 | } |
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137 | |
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138 | void Model::clear() |
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139 | { |
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140 | FOREACH(Part*, p, parts) |
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141 | delete p; |
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142 | FOREACH(Joint*, j, joints) |
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143 | delete j; |
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144 | FOREACH(Neuro*, n, neurons) |
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145 | delete n; |
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146 | parts.clear(); joints.clear(); neurons.clear(); |
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147 | delMap(); |
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148 | delF0Map(); |
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149 | init(); |
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150 | geno = Geno(); |
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151 | f0geno = Geno(); |
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152 | } |
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153 | |
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154 | Part *Model::addPart(Part *p) |
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155 | { |
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156 | p->owner = this; |
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157 | p->refno = parts.size(); |
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158 | parts += p; |
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159 | return p; |
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160 | } |
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161 | |
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162 | Joint *Model::addJoint(Joint *j) |
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163 | { |
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164 | j->owner = this; |
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165 | j->refno = joints.size(); |
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166 | joints += j; |
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167 | return j; |
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168 | } |
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169 | |
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170 | Neuro *Model::addNeuro(Neuro *n) |
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171 | { |
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172 | n->owner = this; |
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173 | n->refno = neurons.size(); |
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174 | neurons += n; |
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175 | return n; |
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176 | } |
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177 | |
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178 | void Model::removeNeuros(SList &nlist) |
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179 | { |
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180 | FOREACH(Neuro*, nu, nlist) |
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181 | { |
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182 | int i = findNeuro(nu); |
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183 | if (i >= 0) removeNeuro(i); |
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184 | } |
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185 | } |
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186 | |
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187 | void Model::removePart(int partindex, int removeattachedjoints, int removeattachedneurons) |
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188 | { |
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189 | Part *p = getPart(partindex); |
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190 | if (removeattachedjoints) |
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191 | { |
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192 | SList jlist; |
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193 | findJoints(jlist, p); |
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194 | FOREACH(Joint*, j, jlist) |
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195 | { |
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196 | int i = findJoint(j); |
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197 | if (i >= 0) removeJoint(i, removeattachedneurons); |
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198 | } |
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199 | } |
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200 | if (removeattachedneurons) |
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201 | { |
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202 | SList nlist; |
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203 | findNeuros(nlist, 0, p); |
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204 | removeNeuros(nlist); |
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205 | } |
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206 | parts -= partindex; |
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207 | delete p; |
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208 | } |
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209 | |
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210 | void Model::removeJoint(int jointindex, int removeattachedneurons) |
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211 | { |
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212 | Joint *j = getJoint(jointindex); |
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213 | if (removeattachedneurons) |
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214 | { |
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215 | SList nlist; |
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216 | findNeuros(nlist, 0, 0, j); |
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217 | removeNeuros(nlist); |
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218 | } |
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219 | joints -= jointindex; |
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220 | delete j; |
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221 | } |
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222 | |
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223 | void Model::removeNeuro(int neuroindex, bool removereferences) |
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224 | { |
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225 | Neuro* thisN = getNeuro(neuroindex); |
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226 | |
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227 | if (removereferences) |
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228 | { |
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229 | Neuro* n; |
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230 | // remove all references to thisN |
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231 | for (int i = 0; n = (Neuro*)neurons(i); i++) |
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232 | { |
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233 | Neuro *inp; |
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234 | for (int j = 0; inp = n->getInput(j); j++) |
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235 | if (inp == thisN) |
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236 | { |
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237 | n->removeInput(j); |
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238 | j--; |
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239 | } |
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240 | } |
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241 | } |
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242 | |
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243 | neurons -= neuroindex; |
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244 | delete thisN; |
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245 | } |
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246 | |
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247 | MultiMap& Model::getMap() |
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248 | { |
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249 | if (!map) map = new MultiMap(); |
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250 | return *map; |
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251 | } |
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252 | |
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253 | void Model::delMap() |
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254 | { |
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255 | if (map) { delete map; map = 0; } |
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256 | } |
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257 | void Model::delF0Map() |
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258 | { |
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259 | if (f0map) { delete f0map; f0map = 0; } |
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260 | } |
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261 | |
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262 | void Model::makeGenToGenMap(MultiMap& result, const MultiMap& gen1tomodel, const MultiMap& gen2tomodel) |
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263 | { |
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264 | result.clear(); |
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265 | MultiMap m; |
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266 | m.addReversed(gen2tomodel); |
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267 | result.addCombined(gen1tomodel, m); |
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268 | } |
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269 | |
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270 | void Model::getCurrentToF0Map(MultiMap& result) |
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271 | { |
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272 | result.clear(); |
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273 | if (!map) return; |
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274 | const MultiMap& f0m = getF0Map(); |
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275 | makeGenToGenMap(result, *map, f0m); |
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276 | } |
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277 | |
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278 | void Model::rebuild(bool buildm) |
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279 | { |
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280 | autobuildmaps = buildm; |
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281 | clear(); |
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282 | build(); |
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283 | } |
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284 | |
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285 | void Model::initMap() |
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286 | { |
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287 | if (!map) map = new MultiMap(); |
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288 | else map->clear(); |
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289 | } |
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290 | |
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291 | void Model::initF0Map() |
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292 | { |
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293 | if (!f0map) f0map = new MultiMap(); |
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294 | else f0map->clear(); |
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295 | } |
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296 | |
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297 | void Model::build() |
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298 | { |
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299 | f0errorposition = -1; |
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300 | f0warnposition = -1; |
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301 | MultiMap *convmap = autobuildmaps ? new MultiMap() : NULL; |
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302 | f0geno = (geno.getFormat() == '0') ? geno : geno.getConverted('0', convmap); |
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303 | f0genoknown = 1; |
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304 | if (f0geno.isInvalid()) |
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305 | { |
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306 | buildstatus = invalid; |
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307 | if (convmap) delete convmap; |
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308 | return; |
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309 | } |
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310 | SString f0txt = f0geno.getGenes(); |
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311 | buildstatus = building; // was: open(); |
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312 | if (autobuildmaps) |
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313 | { |
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314 | partmappingchanged = 0; |
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315 | initMap(); |
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316 | initF0Map(); |
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317 | } |
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318 | int pos = 0, lnum = 1, lastpos = 0; |
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319 | SString line; |
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320 | MultiRange frommap; |
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321 | LoggerToMemory mh(LoggerBase::Enable | LoggerBase::DontBlock); |
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322 | for (; f0txt.getNextToken(pos, line, '\n'); lnum++) |
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323 | { |
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324 | if (autobuildmaps) |
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325 | { |
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326 | frommap.clear(); |
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327 | frommap.add(lastpos, pos - 1); |
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328 | } |
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329 | mh.reset(); |
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330 | if (singleStepBuild(line, lnum, autobuildmaps ? (&frommap) : 0) == -1) |
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331 | { |
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332 | buildstatus = invalid; |
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333 | f0errorposition = lastpos; |
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334 | if (convmap) delete convmap; |
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335 | return; |
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336 | } |
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337 | if (mh.getWarningCount()) |
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338 | { |
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339 | if (f0warnposition < 0) f0warnposition = lastpos; |
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340 | } |
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341 | lastpos = pos; |
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342 | } |
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343 | mh.disable(); |
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344 | close(); |
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345 | if (convmap) |
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346 | { |
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347 | *f0map = *map; |
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348 | if (geno.getFormat() != '0') |
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349 | { |
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350 | MultiMap tmp; |
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351 | tmp.addCombined(*convmap, getMap()); |
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352 | *map = tmp; |
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353 | } |
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354 | delete convmap; |
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355 | } |
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356 | } |
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357 | |
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358 | const MultiMap& Model::getF0Map() |
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359 | { |
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360 | if (!f0map) |
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361 | { |
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362 | f0map = new MultiMap(); |
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363 | makeGeno(f0geno, f0map); |
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364 | f0genoknown = 1; |
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365 | } |
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366 | return *f0map; |
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367 | } |
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368 | |
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369 | Geno Model::rawGeno() |
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370 | { |
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371 | Geno tmpgen; |
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372 | makeGeno(tmpgen); |
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373 | return tmpgen; |
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374 | } |
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375 | |
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376 | void Model::makeGeno(Geno &g, MultiMap *map, bool handle_defaults) |
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377 | { |
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378 | if ((buildstatus != valid) && (buildstatus != building)) |
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379 | { |
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380 | g = Geno(0, 0, 0, "invalid model"); |
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381 | return; |
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382 | } |
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383 | |
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384 | SString gen; |
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385 | |
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386 | Param modelparam(f0_model_paramtab); |
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387 | Param partparam(f0_part_paramtab); |
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388 | Param jointparam(f0_joint_paramtab); |
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389 | Param neuroparam(f0_neuro_paramtab); |
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390 | Param connparam(f0_neuroconn_paramtab); |
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391 | |
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392 | static Part defaultpart; |
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393 | static Joint defaultjoint; |
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394 | static Neuro defaultneuro; |
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395 | static Model defaultmodel; |
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396 | static NeuroConn defaultconn; |
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397 | //static NeuroItem defaultneuroitem; |
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398 | |
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399 | Part *p; |
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400 | Joint *j; |
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401 | Neuro *n; |
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402 | int i; |
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403 | int len; |
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404 | int a, b; |
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405 | //NeuroItem *ni; |
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406 | |
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407 | SString mod_props; |
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408 | modelparam.select(this); |
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409 | modelparam.save2(mod_props, handle_defaults ? &defaultmodel : NULL, true, !handle_defaults); |
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410 | if (mod_props.len() > 1) //are there any non-default values? ("\n" is empty) |
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411 | { |
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412 | gen += "m:"; |
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413 | gen += mod_props; |
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414 | } |
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415 | |
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416 | for (i = 0; p = (Part*)parts(i); i++) |
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417 | { |
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418 | partparam.select(p); |
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419 | len = gen.len(); |
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420 | gen += "p:"; |
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421 | partparam.save2(gen, handle_defaults ? &defaultpart : NULL, true, !handle_defaults); |
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422 | if (map) |
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423 | map->add(len, gen.len() - 1, partToMap(i)); |
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424 | } |
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425 | for (i = 0; j = (Joint*)joints(i); i++) |
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426 | { |
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427 | jointparam.select(j); |
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428 | len = gen.len(); |
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429 | jointparam.setParamTab(j->usedelta ? f0_joint_paramtab : f0_nodeltajoint_paramtab); |
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430 | gen += "j:"; |
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431 | jointparam.save2(gen, handle_defaults ? &defaultjoint : NULL, true, !handle_defaults); |
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432 | if (map) |
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433 | map->add(len, gen.len() - 1, jointToMap(i)); |
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434 | } |
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435 | for (i = 0; n = (Neuro*)neurons(i); i++) |
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436 | { |
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437 | neuroparam.select(n); |
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438 | len = gen.len(); |
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439 | gen += "n:"; |
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440 | neuroparam.save2(gen, handle_defaults ? &defaultneuro : NULL, true, !handle_defaults); |
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441 | if (map) |
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442 | map->add(len, gen.len() - 1, neuroToMap(i)); |
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443 | } |
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444 | for (a = 0; a < neurons.size(); a++) |
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445 | { // inputs |
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446 | n = (Neuro*)neurons(a); |
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447 | // if ((n->getInputCount()==1)&&(n->getInput(0).refno <= n->refno)) |
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448 | // continue; // already done with Neuro::conn_refno |
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449 | |
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450 | for (b = 0; b < n->getInputCount(); b++) |
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451 | { |
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452 | double w; |
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453 | NeuroConn nc; |
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454 | Neuro* n2 = n->getInput(b, w); |
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455 | // if (((n2.parentcount==1)&&(n2.parent)&&(n2.parent->refno < n2.refno)) ^ |
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456 | // (n2.neuro_refno>=0)) |
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457 | // printf("!!!! bad Neuro::neuro_refno ?!\n"); |
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458 | |
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459 | // if ((n2.parentcount==1)&&(n2.parent)&&(n2.parent->refno < n2.refno)) |
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460 | // if (n2.neuro_refno>=0) |
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461 | // continue; // already done with Neuro::neuro_refno |
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462 | |
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463 | nc.n1_refno = n->refno; nc.n2_refno = n2->refno; |
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464 | nc.weight = w; |
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465 | SString **s = n->inputInfo(b); |
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466 | if ((s) && (*s)) |
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467 | nc.info = **s; |
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468 | connparam.select(&nc); |
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469 | len = gen.len(); |
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470 | gen += "c:"; |
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471 | connparam.save2(gen, handle_defaults ? &defaultconn : NULL, true, !handle_defaults); |
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472 | if (map) |
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473 | map->add(len, gen.len() - 1, neuroToMap(n->refno)); |
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474 | } |
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475 | } |
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476 | g = Geno(gen.c_str(), '0'); |
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477 | } |
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478 | |
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479 | ////////////// |
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480 | |
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481 | void Model::open() |
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482 | { |
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483 | if (buildstatus == building) return; |
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484 | buildstatus = building; |
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485 | modelfromgenotype = 0; |
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486 | partmappingchanged = 0; |
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487 | f0genoknown = 0; |
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488 | delMap(); |
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489 | } |
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490 | |
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491 | void Model::checkpoint() |
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492 | {} |
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493 | |
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494 | void Model::setGeno(const Geno& newgeno) |
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495 | { |
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496 | geno = newgeno; |
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497 | } |
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498 | |
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499 | void Model::clearMap() |
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500 | { |
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501 | Part *p; Joint *j; Neuro *n; |
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502 | int i; |
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503 | delMap(); |
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504 | delF0Map(); |
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505 | for (i = 0; p = (Part*)parts(i); i++) |
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506 | p->clearMapping(); |
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507 | for (i = 0; j = (Joint*)joints(i); i++) |
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508 | j->clearMapping(); |
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509 | for (i = 0; n = (Neuro*)neurons(i); i++) |
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510 | n->clearMapping(); |
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511 | } |
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512 | |
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513 | int Model::close(bool building_live_model) |
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514 | { |
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515 | if (buildstatus != building) |
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516 | logPrintf("Model", "close", LOG_WARN, "Unexpected close() - no open()"); |
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517 | if (internalcheck(building_live_model ? LIVE_CHECK : FINAL_CHECK) > 0) |
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518 | { |
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519 | buildstatus = valid; |
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520 | |
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521 | if (partmappingchanged) |
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522 | { |
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523 | getMap(); |
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524 | Part *p; Joint *j; Neuro *n; |
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525 | int i; |
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526 | for (i = 0; p = (Part*)parts(i); i++) |
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527 | if (p->getMapping()) |
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528 | map->add(*p->getMapping(), partToMap(i)); |
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529 | for (i = 0; j = (Joint*)joints(i); i++) |
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530 | if (j->getMapping()) |
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531 | map->add(*j->getMapping(), jointToMap(i)); |
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532 | for (i = 0; n = (Neuro*)neurons(i); i++) |
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533 | if (n->getMapping()) |
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534 | map->add(*n->getMapping(), neuroToMap(i)); |
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535 | } |
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536 | } |
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537 | else |
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538 | buildstatus = invalid; |
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539 | |
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540 | return (buildstatus == valid); |
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541 | } |
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542 | |
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543 | int Model::validate() |
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544 | { |
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545 | return internalcheck(EDITING_CHECK); |
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546 | } |
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547 | |
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548 | Pt3D Model::whereDelta(const Part& start, const Pt3D& rot, const Pt3D& delta) |
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549 | { |
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550 | Orient roto; |
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551 | roto = rot; |
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552 | Orient o; |
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553 | roto.transform(o, start.o); |
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554 | //o.x=start.o/roto.x; |
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555 | //o.y=start.o/roto.y; |
---|
556 | //o.z=start.o/roto.z; |
---|
557 | return o.transform(delta) + start.p; |
---|
558 | } |
---|
559 | |
---|
560 | int Model::singleStepBuild(const SString &singleline, const MultiRange* srcrange) |
---|
561 | { |
---|
562 | return singleStepBuild(singleline, 0, srcrange); |
---|
563 | } |
---|
564 | |
---|
565 | int Model::singleStepBuild(const SString &singleline, int line_num, const MultiRange* srcrange) |
---|
566 | { |
---|
567 | SString error_message; |
---|
568 | int result = singleStepBuildNoLog(singleline, error_message, srcrange); |
---|
569 | if (result < 0) |
---|
570 | { |
---|
571 | if (error_message.len() == 0) // generic error when no detailed message is available |
---|
572 | error_message = "Invalid f0 code"; |
---|
573 | if (line_num>0) |
---|
574 | error_message += SString::sprintf(", line #%d", line_num); |
---|
575 | error_message += nameForErrors(); |
---|
576 | logPrintf("Model", "build", LOG_ERROR, "%s", error_message.c_str()); |
---|
577 | } |
---|
578 | return result; |
---|
579 | } |
---|
580 | |
---|
581 | int Model::singleStepBuildNoLog(const SString &line, SString& error_message, const MultiRange* srcrange) |
---|
582 | { |
---|
583 | error_message = SString::empty(); |
---|
584 | int pos = 0; const char*t = line.c_str(); |
---|
585 | for (; *t; t++, pos++) |
---|
586 | if (!strchr(" \r\t", *t)) break; |
---|
587 | if (*t == '#') return 0; |
---|
588 | if (!*t) return 0; |
---|
589 | if (!strncmp(t, "p:", 2)) |
---|
590 | { |
---|
591 | Param partparam(f0_part_paramtab); |
---|
592 | Part *p = new Part(); |
---|
593 | partparam.select(p); |
---|
594 | pos += 2; |
---|
595 | if (partparam.load2(line, pos) & ParamInterface::LOAD2_PARSE_FAILED) { delete p; error_message = "Invalid 'p:'"; return -1; } |
---|
596 | p->o.rotate(p->rot); |
---|
597 | parts += p; |
---|
598 | p->owner = this; |
---|
599 | if (srcrange) p->setMapping(*srcrange); |
---|
600 | return getPartCount() - 1; |
---|
601 | } |
---|
602 | if (!strncmp(t, "m:", 2)) |
---|
603 | { |
---|
604 | Param modelparam(f0_model_paramtab); |
---|
605 | modelparam.select(this); |
---|
606 | pos += 2; |
---|
607 | if (modelparam.load2(line, pos) & ParamInterface::LOAD2_PARSE_FAILED) { error_message = "Invalid 'm:'"; return -1; } |
---|
608 | return 0; |
---|
609 | } |
---|
610 | else if (!strncmp(t, "j:", 2)) |
---|
611 | { |
---|
612 | Param jointparam(f0_joint_paramtab); |
---|
613 | Joint *j = new Joint(); |
---|
614 | jointparam.select(j); |
---|
615 | pos += 2; |
---|
616 | j->owner = this; |
---|
617 | if (jointparam.load2(line, pos) & ParamInterface::LOAD2_PARSE_FAILED) { delete j; error_message = "Invalid 'j:'"; return -1; } |
---|
618 | bool p1_ok = false, p2_ok = false; |
---|
619 | if ((p1_ok = ((j->p1_refno >= 0) && (j->p1_refno < getPartCount()))) && |
---|
620 | (p2_ok = ((j->p2_refno >= 0) && (j->p2_refno < getPartCount())))) |
---|
621 | { |
---|
622 | addJoint(j); |
---|
623 | if ((j->d.x != JOINT_DELTA_MARKER) || (j->d.y != JOINT_DELTA_MARKER) || (j->d.z != JOINT_DELTA_MARKER)) |
---|
624 | { |
---|
625 | j->useDelta(1); |
---|
626 | j->resetDeltaMarkers(); |
---|
627 | } |
---|
628 | j->attachToParts(j->p1_refno, j->p2_refno); |
---|
629 | if (srcrange) j->setMapping(*srcrange); |
---|
630 | return j->refno; |
---|
631 | } |
---|
632 | else |
---|
633 | { |
---|
634 | error_message = SString::sprintf("Invalid reference to Part #%d", p1_ok ? j->p1_refno : j->p2_refno); |
---|
635 | delete j; |
---|
636 | return -1; |
---|
637 | } |
---|
638 | } |
---|
639 | else if (!strncmp(t, "n:", 2)) // neuro (or the old neuro object as the special case) |
---|
640 | { |
---|
641 | Param neuroparam(f0_neuro_paramtab); |
---|
642 | Neuro *nu = new Neuro(); |
---|
643 | neuroparam.select(nu); |
---|
644 | pos += 2; |
---|
645 | if (neuroparam.load2(line, pos) & ParamInterface::LOAD2_PARSE_FAILED) { delete nu; error_message = "Invalid 'n:'"; return -1; } |
---|
646 | #ifdef MODEL_V1_COMPATIBLE |
---|
647 | if (nu->neuro_refno>=0) // parent specified... |
---|
648 | { |
---|
649 | if (nu->neuro_refno >= getNeuroCount()) // and it's illegal |
---|
650 | { |
---|
651 | delete nu; |
---|
652 | return -1; |
---|
653 | } |
---|
654 | Neuro *parentNU=getNeuro(nu->neuro_refno); |
---|
655 | parentNU->addInput(nu,nu->weight); |
---|
656 | // default class for parented units: n-n link |
---|
657 | //if (nu->moredata.len()==0) nu->moredata="-"; |
---|
658 | } |
---|
659 | else |
---|
660 | #endif |
---|
661 | { |
---|
662 | // default class for unparented units: standard neuron |
---|
663 | if (nu->getClassName().len() == 0) nu->setClassName("N"); |
---|
664 | } |
---|
665 | /* |
---|
666 | if (nu->conn_refno>=0) // input specified... |
---|
667 | { |
---|
668 | if (nu->conn_refno >= getNeuroCount()) // and it's illegal |
---|
669 | { |
---|
670 | delete nu; |
---|
671 | return -1; |
---|
672 | } |
---|
673 | Neuro *inputNU=getNeuro(nu->conn_refno); |
---|
674 | nu->addInput(inputNU,nu->weight); |
---|
675 | } |
---|
676 | */ |
---|
677 | #ifdef MODEL_V1_COMPATIBLE |
---|
678 | nu->weight=1.0; |
---|
679 | #endif |
---|
680 | nu->owner = this; |
---|
681 | // attach to part/joint |
---|
682 | if (nu->part_refno >= 0) |
---|
683 | nu->attachToPart(nu->part_refno); |
---|
684 | if (nu->joint_refno >= 0) |
---|
685 | nu->attachToJoint(nu->joint_refno); |
---|
686 | if (srcrange) nu->setMapping(*srcrange); |
---|
687 | // todo: check part/joint ref# |
---|
688 | #ifdef MODEL_V1_COMPATIBLE |
---|
689 | if (hasOldNeuroLayout()) |
---|
690 | { |
---|
691 | int count=old_getNeuroCount(); |
---|
692 | neurons.insert(count,nu); |
---|
693 | oldneurocount=count+1; |
---|
694 | return oldneurocount-1; |
---|
695 | } |
---|
696 | else |
---|
697 | #endif |
---|
698 | { |
---|
699 | neurons += nu; |
---|
700 | return neurons.size() - 1; |
---|
701 | } |
---|
702 | } |
---|
703 | else if (!strncmp(t, "c:", 2)) // add input |
---|
704 | { |
---|
705 | Param ncparam(f0_neuroconn_paramtab); |
---|
706 | NeuroConn c; |
---|
707 | ncparam.select(&c); |
---|
708 | pos += 2; |
---|
709 | if (ncparam.load2(line, pos) & ParamInterface::LOAD2_PARSE_FAILED) { error_message = "Invalid 'c:'"; return -1; } |
---|
710 | bool n1_ok = false, n2_ok = false; |
---|
711 | if ((n1_ok = ((c.n1_refno >= 0) && (c.n1_refno < getNeuroCount()))) |
---|
712 | && (n2_ok = ((c.n2_refno >= 0) && (c.n2_refno < getNeuroCount())))) |
---|
713 | { |
---|
714 | Neuro *na = getNeuro(c.n1_refno); |
---|
715 | Neuro *nb = getNeuro(c.n2_refno); |
---|
716 | na->addInput(nb, c.weight, &c.info); |
---|
717 | if (srcrange) |
---|
718 | na->addMapping(*srcrange); |
---|
719 | return 0; |
---|
720 | } |
---|
721 | error_message = SString::sprintf("Invalid reference to Neuro #%d", n1_ok ? c.n2_refno : c.n1_refno); |
---|
722 | return -1; |
---|
723 | } |
---|
724 | #ifdef MODEL_V1_COMPATIBLE |
---|
725 | else if (!strncmp(t,"ni:",3)) // old neuroitem |
---|
726 | { |
---|
727 | // we always use old layout for "ni:" |
---|
728 | Param neuroitemparam(f0_neuroitem_paramtab); |
---|
729 | Neuro *nu=new Neuro(); |
---|
730 | neuroitemparam.select(nu); |
---|
731 | pos+=3; |
---|
732 | if (neuroitemparam.load2(line,pos) & ParamInterface::LOAD2_PARSE_FAILED) {delete nu; return -1;} |
---|
733 | // illegal parent? |
---|
734 | if ((nu->neuro_refno<0)||(nu->neuro_refno>=old_getNeuroCount())) |
---|
735 | { |
---|
736 | delete nu; |
---|
737 | return -1; |
---|
738 | } |
---|
739 | Neuro *parentN=getNeuro(nu->neuro_refno); |
---|
740 | // copy part/joint refno from parent, if possible |
---|
741 | if ((nu->part_refno<0)&&(parentN->part_refno>=0)) |
---|
742 | nu->part_refno=parentN->part_refno; |
---|
743 | if ((nu->joint_refno<0)&&(parentN->joint_refno>=0)) |
---|
744 | nu->joint_refno=parentN->joint_refno; |
---|
745 | nu->owner=this; |
---|
746 | // attach to part/joint |
---|
747 | if (nu->part_refno>=0) |
---|
748 | nu->attachToPart(nu->part_refno); |
---|
749 | if (nu->joint_refno>=0) |
---|
750 | nu->attachToJoint(nu->joint_refno); |
---|
751 | if (srcrange) |
---|
752 | nu->setMapping(*srcrange); |
---|
753 | // special case: old muscles |
---|
754 | // PARENT neuron will be set up to be the CHILD of the current one (!) |
---|
755 | if (nu->isOldEffector()) |
---|
756 | { |
---|
757 | nu->neuro_refno=parentN->refno; |
---|
758 | neurons+=nu; |
---|
759 | nu->owner=this; |
---|
760 | nu->addInput(parentN,nu->weight); // (!) |
---|
761 | nu->weight=1.0; |
---|
762 | parentN->invalidateOldItems(); |
---|
763 | return 0; // !!! -> ...getItemCount()-1; |
---|
764 | } |
---|
765 | parentN->addInput(nu,nu->weight); |
---|
766 | neurons+=nu; |
---|
767 | parentN->invalidateOldItems(); |
---|
768 | if (nu->getClassName().len()==0) |
---|
769 | { |
---|
770 | nu->setClassName("-"); |
---|
771 | // for compatibility, "ni" can define a n-n connection |
---|
772 | // referring to non-existent neuron (which will be hopefully defined later) |
---|
773 | // internal check will add the proper input to this unit |
---|
774 | // if conn_refno >=0 and input count==0 |
---|
775 | oldconnections=1; |
---|
776 | if (srcrange) |
---|
777 | parentN->addMapping(*srcrange); |
---|
778 | } |
---|
779 | else |
---|
780 | nu->weight=1.0; |
---|
781 | return 0; // !!! -> ...getItemCount()-1; |
---|
782 | } |
---|
783 | #endif |
---|
784 | else return -1; |
---|
785 | } |
---|
786 | |
---|
787 | #ifdef MODEL_V1_COMPATIBLE |
---|
788 | int Model::addOldConnectionsInputs() |
---|
789 | { |
---|
790 | if (!oldconnections) return 1; |
---|
791 | Neuro* n; |
---|
792 | for (int i=0;i<neurons.size();i++) |
---|
793 | { |
---|
794 | n=(Neuro*)neurons(i); |
---|
795 | if (n->conn_refno>=0) |
---|
796 | if (n->isNNConnection()) |
---|
797 | if (n->conn_refno < old_getNeuroCount()) |
---|
798 | { // good reference |
---|
799 | Neuro* parent=n->parent; // nn connection has exactly one parent |
---|
800 | int inp=parent->findInput(n); |
---|
801 | Neuro* target=getNeuro(n->conn_refno); |
---|
802 | parent->setInput(inp,target,n->weight); |
---|
803 | removeNeuro(i,0); // no need to remove references |
---|
804 | i--; |
---|
805 | } |
---|
806 | else |
---|
807 | { |
---|
808 | logPrintf("Model","internalCheck",LOG_ERROR, |
---|
809 | "illegal N-N connection #%d (reference to #%d)%s", |
---|
810 | i,n->conn_refno,nameForErrors().c_str()); |
---|
811 | return 0; |
---|
812 | } |
---|
813 | } |
---|
814 | oldconnections=0; |
---|
815 | return 1; |
---|
816 | } |
---|
817 | #endif |
---|
818 | |
---|
819 | ///////////// |
---|
820 | |
---|
821 | /** change the sequence of neuro units |
---|
822 | and fix references in "-" objects (n-n connections) */ |
---|
823 | void Model::moveNeuro(int oldpos, int newpos) |
---|
824 | { |
---|
825 | if (oldpos == newpos) return; // nop! |
---|
826 | Neuro *n = getNeuro(oldpos); |
---|
827 | neurons -= oldpos; |
---|
828 | neurons.insert(newpos, n); |
---|
829 | // conn_refno could be broken -> fix it |
---|
830 | #ifdef MODEL_V1_COMPATIBLE |
---|
831 | for (int i=0;i<neurons.size();i++) |
---|
832 | { |
---|
833 | Neuro *n2=getNeuro(i); |
---|
834 | if (n2->isNNConnection()) |
---|
835 | if (n2->conn_refno == oldpos) n2->conn_refno=newpos; |
---|
836 | else |
---|
837 | { if (n2->conn_refno > oldpos) n2->conn_refno--; |
---|
838 | if (n2->conn_refno >= newpos) n2->conn_refno++; } |
---|
839 | } |
---|
840 | invalidateOldNeuroCount(); |
---|
841 | #endif |
---|
842 | } |
---|
843 | |
---|
844 | #ifdef MODEL_V1_COMPATIBLE |
---|
845 | /** move all old neurons (class "N") to the front of the neurons list. |
---|
846 | @return number of old neurons |
---|
847 | */ |
---|
848 | int Model::reorderToOldLayout() |
---|
849 | { |
---|
850 | Neuro *n; |
---|
851 | int neurocount=0; |
---|
852 | for (int i=0;i<neurons.size();i++) |
---|
853 | { |
---|
854 | n=(Neuro*)neurons(i); |
---|
855 | if (n->isOldNeuron()) |
---|
856 | { |
---|
857 | moveNeuro(i,neurocount); |
---|
858 | neurocount++; |
---|
859 | i=neurocount-1; |
---|
860 | } |
---|
861 | } |
---|
862 | return neurocount; |
---|
863 | } |
---|
864 | #endif |
---|
865 | //////////// |
---|
866 | |
---|
867 | void Model::updateNeuroRefno() |
---|
868 | { |
---|
869 | for (int i = 0; i < neurons.size(); i++) |
---|
870 | { |
---|
871 | Neuro* n = (Neuro*)neurons(i); |
---|
872 | n->refno = i; |
---|
873 | } |
---|
874 | } |
---|
875 | |
---|
876 | #define VALIDMINMAX(var,template,field) \ |
---|
877 | if (var -> field < getMin ## template () . field) \ |
---|
878 | { var->field= getMin ## template () . field; \ |
---|
879 | logPrintf("Model","internalCheck",LOG_WARN,# field " too small in " # template " #%d (adjusted)",i);} \ |
---|
880 | else if (var -> field > getMax ## template () . field) \ |
---|
881 | { var->field= getMax ## template () . field; \ |
---|
882 | logPrintf("Model","internalCheck",LOG_WARN,# field " too big in " # template " #%d (adjusted)",i);} |
---|
883 | |
---|
884 | #define LINKFLAG 0x8000000 |
---|
885 | |
---|
886 | void Model::updateRefno() |
---|
887 | { |
---|
888 | int i; |
---|
889 | for (i = 0; i < getPartCount(); i++) getPart(i)->refno = i; |
---|
890 | for (i = 0; i < getJointCount(); i++) getJoint(i)->refno = i; |
---|
891 | for (i = 0; i < getNeuroCount(); i++) getNeuro(i)->refno = i; |
---|
892 | } |
---|
893 | |
---|
894 | SString Model::nameForErrors() const |
---|
895 | { |
---|
896 | if (geno.getName().len()>0) |
---|
897 | return SString::sprintf(" in '%s'", geno.getName().c_str()); |
---|
898 | return SString::empty(); |
---|
899 | } |
---|
900 | |
---|
901 | int Model::internalcheck(CheckType check) |
---|
902 | { |
---|
903 | Part *p; |
---|
904 | Joint *j; |
---|
905 | Neuro *n; |
---|
906 | int i, k; |
---|
907 | int ret = 1; |
---|
908 | shape = SHAPE_UNKNOWN; |
---|
909 | if ((parts.size() == 0) && (neurons.size() == 0)) return 0; |
---|
910 | if (parts.size() == 0) |
---|
911 | size = Pt3D_0; |
---|
912 | else |
---|
913 | { |
---|
914 | Pt3D bbmin = ((Part*)parts(0))->p, bbmax = bbmin; |
---|
915 | for (i = 0; i < parts.size(); i++) |
---|
916 | { |
---|
917 | p = (Part*)parts(i); |
---|
918 | p->owner = this; |
---|
919 | p->refno = i; |
---|
920 | if (checklevel > 0) |
---|
921 | p->mass = 0.0; |
---|
922 | //VALIDMINMAX(p,part,mass);//mass is very special |
---|
923 | // VALIDMINMAX are managed manually when adding part properties in f0-def! |
---|
924 | // (could be made dynamic but not really worth the effort) |
---|
925 | VALIDMINMAX(p, Part, size); |
---|
926 | VALIDMINMAX(p, Part, scale.x); |
---|
927 | VALIDMINMAX(p, Part, scale.y); |
---|
928 | VALIDMINMAX(p, Part, scale.z); |
---|
929 | VALIDMINMAX(p, Part, hollow); |
---|
930 | VALIDMINMAX(p, Part, density); |
---|
931 | VALIDMINMAX(p, Part, friction); |
---|
932 | VALIDMINMAX(p, Part, ingest); |
---|
933 | VALIDMINMAX(p, Part, assim); |
---|
934 | VALIDMINMAX(p, Part, vsize); |
---|
935 | VALIDMINMAX(p, Part, vcolor.x); |
---|
936 | VALIDMINMAX(p, Part, vcolor.y); |
---|
937 | VALIDMINMAX(p, Part, vcolor.z); |
---|
938 | p->flags &= ~LINKFLAG; // for delta joint cycle detection |
---|
939 | if (p->p.x - p->size < bbmin.x) bbmin.x = p->p.x - p->size; |
---|
940 | if (p->p.y - p->size < bbmin.y) bbmin.y = p->p.y - p->size; |
---|
941 | if (p->p.z - p->size < bbmin.z) bbmin.z = p->p.z - p->size; |
---|
942 | if (p->p.x + p->size > bbmax.x) bbmax.x = p->p.x + p->size; |
---|
943 | if (p->p.y + p->size > bbmax.y) bbmax.y = p->p.y + p->size; |
---|
944 | if (p->p.z + p->size > bbmax.z) bbmax.z = p->p.z + p->size; |
---|
945 | if (shape == SHAPE_UNKNOWN) |
---|
946 | shape = (p->shape == Part::SHAPE_BALL_AND_STICK) ? SHAPE_BALL_AND_STICK : SHAPE_SOLIDS; |
---|
947 | else if (shape != SHAPE_ILLEGAL) |
---|
948 | { |
---|
949 | if ((p->shape == Part::SHAPE_BALL_AND_STICK) ^ (shape == SHAPE_BALL_AND_STICK)) |
---|
950 | { |
---|
951 | shape = SHAPE_ILLEGAL; |
---|
952 | logPrintf("Model", "internalCheck", LOG_WARN, "Inconsistent part shapes (mixed ball-and-stick and solids shape types)%s", nameForErrors().c_str()); |
---|
953 | } |
---|
954 | } |
---|
955 | } |
---|
956 | size = bbmax - bbmin; |
---|
957 | for (i = 0; i < joints.size(); i++) |
---|
958 | { |
---|
959 | j = (Joint*)joints(i); |
---|
960 | // VALIDMINMAX are managed manually when adding joint properties in f0-def! |
---|
961 | // (could be made dynamic but not really worth the effort) |
---|
962 | VALIDMINMAX(j, Joint, stamina); |
---|
963 | VALIDMINMAX(j, Joint, stif); |
---|
964 | VALIDMINMAX(j, Joint, rotstif); |
---|
965 | VALIDMINMAX(p, Part, vcolor.x); |
---|
966 | VALIDMINMAX(p, Part, vcolor.y); |
---|
967 | VALIDMINMAX(p, Part, vcolor.z); |
---|
968 | j->refno = i; |
---|
969 | j->owner = this; |
---|
970 | if (j->part1 && j->part2 && (j->part1 != j->part2)) |
---|
971 | { |
---|
972 | j->p1_refno = j->part1->refno; |
---|
973 | j->p2_refno = j->part2->refno; |
---|
974 | if (checklevel > 0) |
---|
975 | { |
---|
976 | j->part1->mass += 1.0; |
---|
977 | j->part2->mass += 1.0; |
---|
978 | } |
---|
979 | if ((j->usedelta) && ((j->d.x != JOINT_DELTA_MARKER) || (j->d.y != JOINT_DELTA_MARKER) || (j->d.z != JOINT_DELTA_MARKER))) |
---|
980 | { // delta positioning -> calc. orient. |
---|
981 | if (j->part2->flags & LINKFLAG) |
---|
982 | { |
---|
983 | ret = 0; |
---|
984 | logPrintf("Model", "internalCheck", LOG_ERROR, |
---|
985 | "Delta joint cycle detected at Joint #%d%s", |
---|
986 | i, nameForErrors().c_str()); |
---|
987 | } |
---|
988 | j->resetDeltaMarkers(); |
---|
989 | j->o = j->rot; |
---|
990 | j->part1->o.transform(j->part2->o, j->o); |
---|
991 | // j->part2->o.x=j->part1->o/j->o.x; |
---|
992 | // j->part2->o.y=j->part1->o/j->o.y; |
---|
993 | // j->part2->o.z=j->part1->o/j->o.z; |
---|
994 | j->part2->p = j->part2->o.transform(j->d) + j->part1->p; |
---|
995 | j->part2->flags |= LINKFLAG; j->part1->flags |= LINKFLAG; // for delta joint cycle detection |
---|
996 | } |
---|
997 | else |
---|
998 | { // abs.positioning -> calc. delta |
---|
999 | if (check != EDITING_CHECK) |
---|
1000 | { |
---|
1001 | // calc orient delta |
---|
1002 | // Orient tmpo(j->part2->o); |
---|
1003 | // tmpo*=j->part1->o; |
---|
1004 | Orient tmpo; |
---|
1005 | j->part1->o.revTransform(tmpo, j->part2->o); |
---|
1006 | tmpo.getAngles(j->rot); |
---|
1007 | j->o = j->rot; |
---|
1008 | // calc position delta |
---|
1009 | Pt3D tmpp(j->part2->p); |
---|
1010 | tmpp -= j->part1->p; |
---|
1011 | j->d = j->part2->o.revTransform(tmpp); |
---|
1012 | } |
---|
1013 | } |
---|
1014 | if (check != LIVE_CHECK) |
---|
1015 | { |
---|
1016 | if (j->shape != Joint::SHAPE_FIXED) |
---|
1017 | { |
---|
1018 | if (j->d() > getMaxJoint().d.x) |
---|
1019 | { |
---|
1020 | ret = 0; |
---|
1021 | logPrintf("Model", "internalCheck", LOG_ERROR, "Joint #%d too long (its length %g exceeds allowed %g)%s", i, j->d(), getMaxJoint().d.x, nameForErrors().c_str()); |
---|
1022 | } |
---|
1023 | } |
---|
1024 | } |
---|
1025 | } |
---|
1026 | else |
---|
1027 | { |
---|
1028 | logPrintf("Model", "internalCheck", LOG_ERROR, "Illegal part references in Joint #%d%s", i, nameForErrors().c_str()); |
---|
1029 | ret = 0; |
---|
1030 | } |
---|
1031 | if (shape != SHAPE_ILLEGAL) |
---|
1032 | { |
---|
1033 | if ((j->shape == Joint::SHAPE_BALL_AND_STICK) ^ (shape == SHAPE_BALL_AND_STICK)) |
---|
1034 | { |
---|
1035 | shape = SHAPE_ILLEGAL; |
---|
1036 | logPrintf("Model", "internalCheck", LOG_WARN, "Inconsistent joint shapes (mixed old and new shapes)%s", nameForErrors().c_str()); |
---|
1037 | } |
---|
1038 | } |
---|
1039 | } |
---|
1040 | } |
---|
1041 | #ifdef MODEL_V1_COMPATIBLE |
---|
1042 | if (!addOldConnectionsInputs()) |
---|
1043 | return 0; |
---|
1044 | #endif |
---|
1045 | |
---|
1046 | updateNeuroRefno(); // valid refno is important for n-n connections check (later) |
---|
1047 | |
---|
1048 | for (i = 0; i < neurons.size(); i++) |
---|
1049 | { |
---|
1050 | n = (Neuro*)neurons(i); |
---|
1051 | #ifdef MODEL_V1_COMPATIBLE |
---|
1052 | VALIDMINMAX(n,Neuro,inertia); |
---|
1053 | VALIDMINMAX(n,Neuro,force); |
---|
1054 | VALIDMINMAX(n,Neuro,sigmo); |
---|
1055 | n->conn_refno=-1; |
---|
1056 | n->weight=1.0; |
---|
1057 | n->neuro_refno=-1; |
---|
1058 | #endif |
---|
1059 | n->part_refno = (n->part) ? n->part->refno : -1; |
---|
1060 | n->joint_refno = (n->joint) ? n->joint->refno : -1; |
---|
1061 | } |
---|
1062 | |
---|
1063 | if (parts.size() && (checklevel > 0)) |
---|
1064 | { |
---|
1065 | for (i = 0; i < parts.size(); i++) |
---|
1066 | { |
---|
1067 | p = (Part*)parts(i); |
---|
1068 | if (p->mass <= 0.001) |
---|
1069 | p->mass = 1.0; |
---|
1070 | p->flags &= ~LINKFLAG; |
---|
1071 | } |
---|
1072 | getPart(0)->flags |= LINKFLAG; |
---|
1073 | int change = 1; |
---|
1074 | while (change) |
---|
1075 | { |
---|
1076 | change = 0; |
---|
1077 | for (i = 0; i < joints.size(); i++) |
---|
1078 | { |
---|
1079 | j = (Joint*)joints(i); |
---|
1080 | if (j->part1->flags&LINKFLAG) |
---|
1081 | { |
---|
1082 | if (!(j->part2->flags&LINKFLAG)) |
---|
1083 | { |
---|
1084 | change = 1; |
---|
1085 | j->part2->flags |= LINKFLAG; |
---|
1086 | } |
---|
1087 | } |
---|
1088 | else |
---|
1089 | if (j->part2->flags&LINKFLAG) |
---|
1090 | { |
---|
1091 | if (!(j->part1->flags&LINKFLAG)) |
---|
1092 | { |
---|
1093 | change = 1; |
---|
1094 | j->part1->flags |= LINKFLAG; |
---|
1095 | } |
---|
1096 | } |
---|
1097 | } |
---|
1098 | } |
---|
1099 | for (i = 0; i < parts.size(); i++) |
---|
1100 | { |
---|
1101 | p = (Part*)parts(i); |
---|
1102 | if (!(p->flags&LINKFLAG)) |
---|
1103 | { |
---|
1104 | logPrintf("Model", "internalCheck", LOG_ERROR, "Not all parts connected (eg. Part #0 and Part #%d)%s", i, nameForErrors().c_str()); |
---|
1105 | ret = 0; |
---|
1106 | break; |
---|
1107 | } |
---|
1108 | } |
---|
1109 | } |
---|
1110 | |
---|
1111 | for (i = 0; i < joints.size(); i++) |
---|
1112 | { |
---|
1113 | j = (Joint*)joints(i); |
---|
1114 | if (j->p1_refno == j->p2_refno) |
---|
1115 | { |
---|
1116 | logPrintf("Model", "internalCheck", LOG_ERROR, "Illegal self connection, Joint #%d%s", i, nameForErrors().c_str()); |
---|
1117 | ret = 0; |
---|
1118 | break; |
---|
1119 | } |
---|
1120 | for (k = i + 1; k < joints.size(); k++) |
---|
1121 | { |
---|
1122 | Joint* j2 = (Joint*)joints(k); |
---|
1123 | if (((j->p1_refno == j2->p1_refno) && (j->p2_refno == j2->p2_refno)) |
---|
1124 | || ((j->p1_refno == j2->p2_refno) && (j->p2_refno == j2->p1_refno))) |
---|
1125 | { |
---|
1126 | logPrintf("Model", "internalCheck", LOG_ERROR, "Illegal duplicate Joint #%d and Joint #%d%s", i, k, nameForErrors().c_str()); |
---|
1127 | ret = 0; |
---|
1128 | break; |
---|
1129 | } |
---|
1130 | } |
---|
1131 | } |
---|
1132 | if (shape == SHAPE_ILLEGAL) |
---|
1133 | ret = 0; |
---|
1134 | return ret; |
---|
1135 | } |
---|
1136 | |
---|
1137 | ///////////// |
---|
1138 | |
---|
1139 | int Model::getErrorPosition(bool includingwarnings) |
---|
1140 | { |
---|
1141 | return includingwarnings ? |
---|
1142 | ((f0errorposition >= 0) ? f0errorposition : f0warnposition) |
---|
1143 | : |
---|
1144 | f0errorposition; |
---|
1145 | } |
---|
1146 | |
---|
1147 | const Geno& Model::getGeno() const |
---|
1148 | { |
---|
1149 | return geno; |
---|
1150 | } |
---|
1151 | |
---|
1152 | const Geno Model::getF0Geno() |
---|
1153 | { |
---|
1154 | if (buildstatus == building) |
---|
1155 | logPrintf("Model", "getGeno", LOG_WARN, "Model was not completed - missing close()"); |
---|
1156 | if (buildstatus != valid) |
---|
1157 | return Geno("", '0', "", "invalid"); |
---|
1158 | if (!f0genoknown) |
---|
1159 | { |
---|
1160 | if (autobuildmaps) |
---|
1161 | { |
---|
1162 | initF0Map(); |
---|
1163 | makeGeno(f0geno, f0map); |
---|
1164 | } |
---|
1165 | else |
---|
1166 | { |
---|
1167 | delF0Map(); |
---|
1168 | makeGeno(f0geno); |
---|
1169 | } |
---|
1170 | f0genoknown = 1; |
---|
1171 | } |
---|
1172 | return f0geno; |
---|
1173 | } |
---|
1174 | |
---|
1175 | int Model::getPartCount() const |
---|
1176 | { |
---|
1177 | return parts.size(); |
---|
1178 | } |
---|
1179 | |
---|
1180 | Part* Model::getPart(int i) const |
---|
1181 | { |
---|
1182 | return ((Part*)parts(i)); |
---|
1183 | } |
---|
1184 | |
---|
1185 | int Model::getJointCount() const |
---|
1186 | { |
---|
1187 | return joints.size(); |
---|
1188 | } |
---|
1189 | |
---|
1190 | Joint* Model::getJoint(int i) const |
---|
1191 | { |
---|
1192 | return ((Joint*)joints(i)); |
---|
1193 | } |
---|
1194 | |
---|
1195 | int Model::findJoints(SList& result, const Part* part) |
---|
1196 | { |
---|
1197 | Joint *j; |
---|
1198 | int n0 = result.size(); |
---|
1199 | if (part) |
---|
1200 | for (int i = 0; j = (Joint*)joints(i); i++) |
---|
1201 | if ((j->part1 == part) || (j->part2 == part)) result += (void*)j; |
---|
1202 | return result.size() - n0; |
---|
1203 | } |
---|
1204 | |
---|
1205 | int Model::findNeuro(Neuro* n) |
---|
1206 | { |
---|
1207 | return neurons.find(n); |
---|
1208 | } |
---|
1209 | |
---|
1210 | int Model::findPart(Part* p) |
---|
1211 | { |
---|
1212 | return parts.find(p); |
---|
1213 | } |
---|
1214 | |
---|
1215 | int Model::findJoint(Joint* j) |
---|
1216 | { |
---|
1217 | return joints.find(j); |
---|
1218 | } |
---|
1219 | |
---|
1220 | int Model::findJoint(Part *p1, Part *p2) |
---|
1221 | { |
---|
1222 | Joint* j; |
---|
1223 | for (int i = 0; j = getJoint(i); i++) |
---|
1224 | if ((j->part1 == p1) && (j->part2 == p2)) return i; |
---|
1225 | return -1; |
---|
1226 | } |
---|
1227 | |
---|
1228 | |
---|
1229 | //////////////////// |
---|
1230 | |
---|
1231 | #ifdef MODEL_V1_COMPATIBLE |
---|
1232 | void Model::calcOldNeuroCount() |
---|
1233 | { |
---|
1234 | if (oldneurocount>=0) return; |
---|
1235 | oldneurocount=reorderToOldLayout(); |
---|
1236 | } |
---|
1237 | |
---|
1238 | int Model::old_getNeuroCount() |
---|
1239 | { calcOldNeuroCount(); |
---|
1240 | return oldneurocount;} |
---|
1241 | |
---|
1242 | Neuro* Model::old_getNeuro(int i) |
---|
1243 | {calcOldNeuroCount(); |
---|
1244 | return (i<oldneurocount)? (Neuro*)getNeuro(i) : (Neuro*)0; |
---|
1245 | } |
---|
1246 | |
---|
1247 | int Model::old_findNeuro(Neuro* n) |
---|
1248 | {calcOldNeuroCount(); |
---|
1249 | return findNeuro(n);} |
---|
1250 | |
---|
1251 | Neuro *Model::old_addNewNeuro() |
---|
1252 | { |
---|
1253 | int count=old_getNeuroCount(); |
---|
1254 | Neuro *nu=addNewNeuro(); |
---|
1255 | nu->setClassName("N"); |
---|
1256 | moveNeuro(nu->refno,oldneurocount); |
---|
1257 | oldneurocount=count+1; |
---|
1258 | return (Neuro*)nu; |
---|
1259 | } |
---|
1260 | #endif |
---|
1261 | |
---|
1262 | /////////////////////// |
---|
1263 | |
---|
1264 | int Model::getNeuroCount() const |
---|
1265 | { |
---|
1266 | return neurons.size(); |
---|
1267 | } |
---|
1268 | |
---|
1269 | Neuro* Model::getNeuro(int i) const |
---|
1270 | { |
---|
1271 | return (Neuro*)neurons(i); |
---|
1272 | } |
---|
1273 | |
---|
1274 | int Model::getConnectionCount() const |
---|
1275 | { |
---|
1276 | int n = 0; |
---|
1277 | for (int i = 0; i < getNeuroCount(); i++) |
---|
1278 | n += getNeuro(i)->getInputCount(); |
---|
1279 | return n; |
---|
1280 | } |
---|
1281 | |
---|
1282 | int Model::findNeuros(SList& result, |
---|
1283 | const char* classname, const Part* part, const Joint* joint) |
---|
1284 | { |
---|
1285 | Neuro *nu; |
---|
1286 | SString cn(classname); |
---|
1287 | int n0 = result.size(); |
---|
1288 | for (int i = 0; nu = (Neuro*)neurons(i); i++) |
---|
1289 | { |
---|
1290 | if (part) |
---|
1291 | if (nu->part != part) continue; |
---|
1292 | if (joint) |
---|
1293 | if (nu->joint != joint) continue; |
---|
1294 | if (classname) |
---|
1295 | if (nu->getClassName() != cn) continue; |
---|
1296 | result += (void*)nu; |
---|
1297 | } |
---|
1298 | return result.size() - n0; |
---|
1299 | } |
---|
1300 | |
---|
1301 | /////////////////// |
---|
1302 | |
---|
1303 | void Model::disturb(double amount) |
---|
1304 | { |
---|
1305 | int i; |
---|
1306 | if (amount <= 0) return; |
---|
1307 | for (i = 0; i < parts.size(); i++) |
---|
1308 | { |
---|
1309 | Part *p = getPart(i); |
---|
1310 | p->p.x += (rnd01 - 0.5)*amount; |
---|
1311 | p->p.y += (rnd01 - 0.5)*amount; |
---|
1312 | p->p.z += (rnd01 - 0.5)*amount; |
---|
1313 | } |
---|
1314 | for (i = 0; i < joints.size(); i++) |
---|
1315 | { |
---|
1316 | Joint *j = getJoint(i); |
---|
1317 | Pt3D tmpp(j->part2->p); |
---|
1318 | tmpp -= j->part1->p; |
---|
1319 | j->d = j->part2->o.revTransform(tmpp); |
---|
1320 | } |
---|
1321 | } |
---|
1322 | |
---|
1323 | void Model::move(const Pt3D& shift) |
---|
1324 | { |
---|
1325 | FOREACH(Part*, p, parts) |
---|
1326 | p->p += shift; |
---|
1327 | } |
---|
1328 | |
---|
1329 | void Model::rotate(const Orient& rotation) |
---|
1330 | { |
---|
1331 | FOREACH(Part*, p, parts) |
---|
1332 | { |
---|
1333 | p->p = rotation.transform(p->p); |
---|
1334 | p->setOrient(rotation.transform(p->o)); |
---|
1335 | } |
---|
1336 | } |
---|
1337 | |
---|
1338 | void Model::buildUsingSolidShapeTypes(const Model& src_ballandstick_shapes, Part::Shape use_shape, float thickness) |
---|
1339 | { |
---|
1340 | for (int i = 0; i < src_ballandstick_shapes.getJointCount(); i++) |
---|
1341 | { |
---|
1342 | Joint *oj = src_ballandstick_shapes.getJoint(i); |
---|
1343 | Part *p = addNewPart(use_shape); |
---|
1344 | p->p = (oj->part1->p + oj->part2->p) / 2; |
---|
1345 | Orient o; |
---|
1346 | o.lookAt(oj->part1->p - oj->part2->p); |
---|
1347 | p->rot = o.getAngles(); |
---|
1348 | p->scale.x = oj->part1->p.distanceTo(oj->part2->p) / 2; |
---|
1349 | p->scale.y = thickness; |
---|
1350 | p->scale.z = thickness; |
---|
1351 | } |
---|
1352 | for (int i = 0; i < src_ballandstick_shapes.getPartCount(); i++) |
---|
1353 | { |
---|
1354 | Part *op = src_ballandstick_shapes.getPart(i); |
---|
1355 | for (int j = 0; j < src_ballandstick_shapes.getJointCount(); j++) |
---|
1356 | { |
---|
1357 | Joint *oj = src_ballandstick_shapes.getJoint(j); |
---|
1358 | if ((oj->part1 == op) || (oj->part2 == op)) |
---|
1359 | { |
---|
1360 | for (int j2 = j + 1; j2 < src_ballandstick_shapes.getJointCount(); j2++) |
---|
1361 | { |
---|
1362 | Joint *oj2 = src_ballandstick_shapes.getJoint(j2); |
---|
1363 | if ((oj2->part1 == op) || (oj2->part2 == op)) |
---|
1364 | { |
---|
1365 | addNewJoint(getPart(j), getPart(j2), Joint::SHAPE_FIXED); |
---|
1366 | } |
---|
1367 | } |
---|
1368 | break; |
---|
1369 | } |
---|
1370 | } |
---|
1371 | } |
---|
1372 | } |
---|
1373 | |
---|
1374 | SolidsShapeTypeModel::SolidsShapeTypeModel(const Model& m, Part::Shape use_shape, float thickness) |
---|
1375 | { |
---|
1376 | using_model = converted_model = NULL; |
---|
1377 | if (m.getShapeType() == Model::SHAPE_BALL_AND_STICK) |
---|
1378 | { |
---|
1379 | converted_model = new Model; |
---|
1380 | converted_model->open(); |
---|
1381 | converted_model->buildUsingSolidShapeTypes(m, use_shape, thickness); |
---|
1382 | converted_model->close(); |
---|
1383 | using_model = converted_model; |
---|
1384 | } |
---|
1385 | else |
---|
1386 | { |
---|
1387 | converted_model = NULL; |
---|
1388 | using_model = &m; |
---|
1389 | } |
---|
1390 | } |
---|
1391 | |
---|
1392 | ////////////////////// |
---|
1393 | |
---|
1394 | class MinPart : public Part { public: MinPart() { Param par(f0_part_paramtab, this); par.setMin(); } }; |
---|
1395 | class MaxPart : public Part { public: MaxPart() { Param par(f0_part_paramtab, this); par.setMax(); } }; |
---|
1396 | class MinJoint : public Joint { public: MinJoint() { Param par(f0_joint_paramtab, this); par.setMin(); } }; |
---|
1397 | class MaxJoint : public Joint { public: MaxJoint() { Param par(f0_joint_paramtab, this); par.setMax(); } }; |
---|
1398 | class MinNeuro : public Neuro { public: MinNeuro() { Param par(f0_neuro_paramtab, this); par.setMin(); } }; |
---|
1399 | class MaxNeuro : public Neuro { public: MaxNeuro() { Param par(f0_neuro_paramtab, this); par.setMax(); } }; |
---|
1400 | |
---|
1401 | Part& Model::getMinPart() { static MinPart part; return part; } |
---|
1402 | Part& Model::getMaxPart() { static MaxPart part; return part; } |
---|
1403 | Part& Model::getDefPart() { static Part part; return part; } |
---|
1404 | Joint& Model::getMinJoint() { static MinJoint joint; return joint; } |
---|
1405 | Joint& Model::getMaxJoint() { static MaxJoint joint; return joint; } |
---|
1406 | Joint& Model::getDefJoint() { static Joint joint; return joint; } |
---|
1407 | Neuro& Model::getMinNeuro() { static MinNeuro neuro; return neuro; } |
---|
1408 | Neuro& Model::getMaxNeuro() { static MaxNeuro neuro; return neuro; } |
---|
1409 | Neuro& Model::getDefNeuro() { static Neuro neuro; return neuro; } |
---|