1 | // This file is a part of Framsticks SDK. http://www.framsticks.com/ |
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2 | // Copyright (C) 1999-2018 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 | #define F0_CHECKPOINT_LINE "checkpoint:" |
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12 | |
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13 | Model::Model() |
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14 | { |
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15 | autobuildmaps = false; |
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16 | init(); |
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17 | } |
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18 | |
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19 | void Model::init() |
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20 | { |
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21 | partmappingchanged = 0; |
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22 | using_checkpoints = false; |
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23 | is_checkpoint = false; |
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24 | buildstatus = empty; |
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25 | modelfromgenotype = 0; |
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26 | startenergy = 1.0; |
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27 | checklevel = 1; |
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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 | modelfromgenotype = mod.modelfromgenotype; |
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54 | for (int i = 0; i < mod.getPartCount(); i++) |
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55 | addPart(new Part(*mod.getPart(i))); |
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56 | for (int i = 0; i < mod.getJointCount(); i++) |
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57 | { |
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58 | Joint *oldj = mod.getJoint(i); |
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59 | Joint *j = new Joint(*oldj); |
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60 | addJoint(j); |
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61 | j->attachToParts(oldj->part1->refno, oldj->part2->refno); |
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62 | } |
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63 | for (int i = 0; i < mod.getNeuroCount(); i++) |
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64 | { |
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65 | Neuro *oldn = mod.getNeuro(i); |
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66 | Neuro *n = new Neuro(*oldn); |
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67 | addNeuro(n); |
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68 | if (oldn->part_refno >= 0) n->attachToPart(oldn->part_refno); |
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69 | else n->attachToJoint(oldn->joint_refno); |
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70 | } |
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71 | for (int i = 0; i < mod.getNeuroCount(); i++) |
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72 | { |
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73 | Neuro *oldn = mod.getNeuro(i); |
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74 | Neuro *n = getNeuro(i); |
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75 | for (int ni = 0; ni < oldn->getInputCount(); ni++) |
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76 | { |
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77 | double w; |
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78 | Neuro *oldinput = oldn->getInput(ni, w); |
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79 | SString info = n->getInputInfo(ni); |
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80 | n->addInput(getNeuro(oldinput->refno), w, &info); |
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81 | } |
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82 | } |
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83 | updateRefno(); |
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84 | if (using_checkpoints) |
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85 | for (vector<Model*>::const_iterator it = mod.checkpoints.begin(); it != mod.checkpoints.end(); it++) |
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86 | { |
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87 | Model *m = *it; |
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88 | Model *n = new Model(*m, m->autobuildmaps, false, true); |
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89 | checkpoints.push_back(n); |
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90 | } |
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91 | } |
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92 | |
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93 | |
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94 | Model::Model(const Geno &src, bool buildmaps, bool _using_checkpoints, bool _is_checkpoint) |
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95 | :autobuildmaps(buildmaps) |
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96 | { |
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97 | init(src, _using_checkpoints, _is_checkpoint); |
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98 | } |
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99 | |
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100 | void Model::operator=(const Model &mod) |
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101 | { |
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102 | clear(); |
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103 | open(mod.isUsingCheckpoints(), mod.isCheckpoint()); |
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104 | internalCopy(mod); |
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105 | buildstatus = mod.buildstatus; |
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106 | } |
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107 | |
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108 | Model::Model(const Model &mod, bool buildmaps, bool _using_checkpoints, bool _is_checkpoint) |
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109 | :autobuildmaps(buildmaps) |
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110 | { |
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111 | init(); |
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112 | open(_using_checkpoints, _is_checkpoint); |
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113 | internalCopy(mod); |
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114 | if (is_checkpoint) |
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115 | close(); |
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116 | else |
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117 | buildstatus = mod.buildstatus; |
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118 | if (mod.map) |
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119 | map = new MultiMap(*mod.map); |
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120 | if (mod.f0map) |
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121 | f0map = new MultiMap(*mod.f0map); |
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122 | } |
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123 | |
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124 | void Model::init(const Geno &src, bool _using_checkpoints, bool _is_checkpoint) |
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125 | { |
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126 | init(); |
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127 | using_checkpoints = _using_checkpoints; |
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128 | is_checkpoint = _is_checkpoint; |
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129 | modelfromgenotype = 1; |
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130 | geno = src; |
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131 | build(); |
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132 | } |
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133 | |
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134 | void Model::resetAllDelta() |
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135 | { |
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136 | for (int i = 0; i < getJointCount(); i++) |
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137 | getJoint(i)->resetDelta(); |
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138 | } |
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139 | |
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140 | void Model::useAllDelta(bool yesno) |
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141 | { |
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142 | for (int i = 0; i < getJointCount(); i++) |
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143 | getJoint(i)->useDelta(yesno); |
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144 | } |
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145 | |
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146 | Model::~Model() |
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147 | { |
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148 | delmodel_list.action((intptr_t)this); |
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149 | clear(); |
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150 | } |
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151 | |
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152 | void Model::clear() |
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153 | { |
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154 | FOREACH(Part*, p, parts) |
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155 | delete p; |
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156 | FOREACH(Joint*, j, joints) |
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157 | delete j; |
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158 | FOREACH(Neuro*, n, neurons) |
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159 | delete n; |
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160 | parts.clear(); joints.clear(); neurons.clear(); |
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161 | delMap(); |
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162 | delF0Map(); |
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163 | init(); |
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164 | geno = Geno(); |
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165 | f0geno = Geno(); |
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166 | for (vector<Model*>::iterator it = checkpoints.begin(); it != checkpoints.end(); it++) |
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167 | delete *it; |
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168 | checkpoints.clear(); |
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169 | } |
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170 | |
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171 | Part *Model::addPart(Part *p) |
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172 | { |
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173 | p->owner = this; |
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174 | p->refno = parts.size(); |
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175 | parts += p; |
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176 | return p; |
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177 | } |
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178 | |
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179 | Joint *Model::addJoint(Joint *j) |
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180 | { |
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181 | j->owner = this; |
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182 | j->refno = joints.size(); |
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183 | joints += j; |
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184 | return j; |
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185 | } |
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186 | |
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187 | Neuro *Model::addNeuro(Neuro *n) |
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188 | { |
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189 | n->owner = this; |
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190 | n->refno = neurons.size(); |
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191 | neurons += n; |
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192 | return n; |
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193 | } |
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194 | |
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195 | void Model::removeNeuros(SList &nlist) |
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196 | { |
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197 | FOREACH(Neuro*, nu, nlist) |
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198 | { |
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199 | int i = findNeuro(nu); |
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200 | if (i >= 0) removeNeuro(i); |
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201 | } |
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202 | } |
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203 | |
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204 | void Model::removePart(int partindex, int removeattachedjoints, int removeattachedneurons) |
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205 | { |
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206 | Part *p = getPart(partindex); |
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207 | if (removeattachedjoints) |
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208 | { |
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209 | SList jlist; |
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210 | findJoints(jlist, p); |
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211 | FOREACH(Joint*, j, jlist) |
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212 | { |
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213 | int i = findJoint(j); |
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214 | if (i >= 0) removeJoint(i, removeattachedneurons); |
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215 | } |
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216 | } |
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217 | if (removeattachedneurons) |
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218 | { |
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219 | SList nlist; |
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220 | findNeuros(nlist, 0, p); |
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221 | removeNeuros(nlist); |
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222 | } |
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223 | parts -= partindex; |
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224 | delete p; |
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225 | } |
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226 | |
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227 | void Model::removeJoint(int jointindex, int removeattachedneurons) |
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228 | { |
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229 | Joint *j = getJoint(jointindex); |
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230 | if (removeattachedneurons) |
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231 | { |
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232 | SList nlist; |
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233 | findNeuros(nlist, 0, 0, j); |
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234 | removeNeuros(nlist); |
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235 | } |
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236 | joints -= jointindex; |
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237 | delete j; |
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238 | } |
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239 | |
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240 | void Model::removeNeuro(int neuroindex, bool removereferences) |
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241 | { |
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242 | Neuro* thisN = getNeuro(neuroindex); |
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243 | |
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244 | if (removereferences) |
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245 | { |
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246 | Neuro* n; |
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247 | // remove all references to thisN |
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248 | for (int i = 0; n = (Neuro*)neurons(i); i++) |
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249 | { |
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250 | Neuro *inp; |
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251 | for (int j = 0; inp = n->getInput(j); j++) |
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252 | if (inp == thisN) |
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253 | { |
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254 | n->removeInput(j); |
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255 | j--; |
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256 | } |
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257 | } |
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258 | } |
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259 | |
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260 | neurons -= neuroindex; |
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261 | delete thisN; |
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262 | } |
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263 | |
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264 | MultiMap& Model::getMap() |
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265 | { |
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266 | if (!map) map = new MultiMap(); |
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267 | return *map; |
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268 | } |
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269 | |
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270 | void Model::delMap() |
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271 | { |
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272 | if (map) { delete map; map = 0; } |
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273 | } |
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274 | void Model::delF0Map() |
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275 | { |
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276 | if (f0map) { delete f0map; f0map = 0; } |
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277 | } |
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278 | |
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279 | void Model::makeGenToGenMap(MultiMap& result, const MultiMap& gen1tomodel, const MultiMap& gen2tomodel) |
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280 | { |
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281 | result.clear(); |
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282 | MultiMap m; |
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283 | m.addReversed(gen2tomodel); |
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284 | result.addCombined(gen1tomodel, m); |
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285 | } |
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286 | |
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287 | void Model::getCurrentToF0Map(MultiMap& result) |
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288 | { |
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289 | result.clear(); |
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290 | if (!map) return; |
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291 | const MultiMap& f0m = getF0Map(); |
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292 | makeGenToGenMap(result, *map, f0m); |
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293 | } |
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294 | |
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295 | void Model::rebuild(bool buildm) |
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296 | { |
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297 | autobuildmaps = buildm; |
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298 | clear(); |
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299 | build(); |
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300 | } |
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301 | |
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302 | void Model::initMap() |
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303 | { |
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304 | if (!map) map = new MultiMap(); |
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305 | else map->clear(); |
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306 | } |
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307 | |
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308 | void Model::initF0Map() |
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309 | { |
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310 | if (!f0map) f0map = new MultiMap(); |
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311 | else f0map->clear(); |
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312 | } |
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313 | |
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314 | Model::ItemType Model::itemTypeFromLinePrefix(const char* line) |
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315 | { |
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316 | struct PrefixAndItem { const char* prefix; ItemType type; }; |
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317 | static const PrefixAndItem types[] = { { "m:", ModelType }, { "p:", PartType }, { "j:", JointType }, { "n:", NeuronType }, { "c:", NeuronConnectionType }, { F0_CHECKPOINT_LINE, CheckpointType }, { NULL } }; |
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318 | for (const PrefixAndItem *t = types; t->prefix != NULL; t++) |
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319 | { |
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320 | const char* in = line; |
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321 | const char* pattern = t->prefix; |
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322 | for (; *in == *pattern; in++, pattern++) |
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323 | if (*pattern == ':') |
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324 | return t->type; |
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325 | } |
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326 | return UnknownType; |
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327 | } |
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328 | |
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329 | void Model::build() |
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330 | { |
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331 | f0errorposition = -1; |
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332 | f0warnposition = -1; |
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333 | MultiMap *convmap = autobuildmaps ? new MultiMap() : NULL; |
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334 | f0geno = (geno.getFormat() == '0') ? geno : geno.getConverted('0', convmap, using_checkpoints); |
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335 | f0genoknown = 1; |
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336 | if (f0geno.isInvalid()) |
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337 | { |
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338 | buildstatus = invalid; |
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339 | if (convmap) delete convmap; |
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340 | return; |
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341 | } |
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342 | SString f0txt = f0geno.getGenes(); |
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343 | buildstatus = building; // was: open(); |
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344 | if (autobuildmaps) |
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345 | { |
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346 | partmappingchanged = 0; |
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347 | initMap(); |
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348 | initF0Map(); |
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349 | } |
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350 | int pos = 0, lnum = 1, lastpos = 0; |
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351 | SString line; |
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352 | MultiRange frommap; |
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353 | LoggerToMemory mh(LoggerBase::Enable | LoggerBase::DontBlock); |
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354 | Model *current_model = this; |
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355 | for (; f0txt.getNextToken(pos, line, '\n'); lnum++) |
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356 | { |
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357 | const char* line_ptr = line.c_str(); |
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358 | for (; *line_ptr; line_ptr++) |
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359 | if (!strchr(" \r\t", *line_ptr)) break; |
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360 | if (*line_ptr == '#') continue; |
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361 | if (!*line_ptr) continue; |
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362 | |
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363 | const char* colon = strchr(line_ptr, ':'); |
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364 | ItemType type = UnknownType; |
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365 | SString excluding_prefix; |
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366 | if (colon != NULL) |
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367 | { |
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368 | colon++; |
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369 | type = itemTypeFromLinePrefix(line_ptr); |
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370 | for (; *colon; colon++) |
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371 | if (!strchr(" \r\t", *colon)) break; |
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372 | excluding_prefix = colon; |
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373 | } |
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374 | |
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375 | if (autobuildmaps) |
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376 | { |
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377 | frommap.clear(); |
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378 | frommap.add(lastpos, pos - 1); |
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379 | } |
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380 | mh.reset(); |
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381 | if (type == CheckpointType) |
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382 | { |
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383 | current_model->close(); |
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384 | current_model = new Model; |
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385 | current_model->open(false, true); |
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386 | checkpoints.push_back(current_model); |
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387 | } |
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388 | else if (current_model->addFromString(type, excluding_prefix, lnum, autobuildmaps ? (&frommap) : 0) == -1) |
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389 | { |
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390 | buildstatus = invalid; |
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391 | f0errorposition = lastpos; |
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392 | if (convmap) delete convmap; |
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393 | return; |
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394 | } |
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395 | if (mh.getWarningCount()) |
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396 | { |
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397 | if (f0warnposition < 0) f0warnposition = lastpos; |
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398 | } |
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399 | lastpos = pos; |
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400 | } |
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401 | mh.disable(); |
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402 | current_model->close(); |
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403 | if (convmap) |
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404 | { |
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405 | *f0map = *map; |
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406 | if (geno.getFormat() != '0') |
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407 | { |
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408 | MultiMap tmp; |
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409 | tmp.addCombined(*convmap, getMap()); |
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410 | *map = tmp; |
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411 | } |
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412 | delete convmap; |
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413 | } |
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414 | } |
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415 | |
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416 | const MultiMap& Model::getF0Map() |
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417 | { |
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418 | if (!f0map) |
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419 | { |
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420 | f0map = new MultiMap(); |
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421 | makeGeno(f0geno, f0map); |
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422 | f0genoknown = 1; |
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423 | } |
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424 | return *f0map; |
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425 | } |
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426 | |
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427 | Geno Model::rawGeno() |
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428 | { |
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429 | Geno tmpgen; |
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430 | makeGeno(tmpgen); |
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431 | return tmpgen; |
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432 | } |
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433 | |
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434 | void Model::makeGeno(Geno &g, MultiMap *map, bool handle_defaults) |
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435 | { |
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436 | if ((buildstatus != valid) && (buildstatus != building)) |
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437 | { |
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438 | g = Geno(0, 0, 0, "invalid model"); |
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439 | return; |
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440 | } |
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441 | |
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442 | SString gen; |
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443 | |
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444 | Param modelparam(f0_model_paramtab); |
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445 | Param partparam(f0_part_paramtab); |
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446 | Param jointparam(f0_joint_paramtab); |
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447 | Param neuroparam(f0_neuro_paramtab); |
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448 | Param connparam(f0_neuroconn_paramtab); |
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449 | |
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450 | static Part defaultpart; |
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451 | static Joint defaultjoint; |
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452 | static Neuro defaultneuro; |
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453 | static Model defaultmodel; |
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454 | static NeuroConn defaultconn; |
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455 | //static NeuroItem defaultneuroitem; |
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456 | |
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457 | Part *p; |
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458 | Joint *j; |
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459 | Neuro *n; |
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460 | int i; |
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461 | int len; |
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462 | int a, b; |
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463 | //NeuroItem *ni; |
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464 | |
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465 | SString mod_props; |
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466 | modelparam.select(this); |
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467 | modelparam.saveSingleLine(mod_props, handle_defaults ? &defaultmodel : NULL, true, !handle_defaults); |
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468 | if (mod_props.len() > 1) //are there any non-default values? ("\n" is empty) |
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469 | { |
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470 | gen += "m:"; |
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471 | gen += mod_props; |
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472 | } |
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473 | |
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474 | for (i = 0; p = (Part*)parts(i); i++) |
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475 | { |
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476 | partparam.select(p); |
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477 | len = gen.len(); |
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478 | gen += "p:"; |
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479 | partparam.saveSingleLine(gen, handle_defaults ? &defaultpart : NULL, true, !handle_defaults); |
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480 | if (map) |
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481 | map->add(len, gen.len() - 1, partToMap(i)); |
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482 | } |
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483 | for (i = 0; j = (Joint*)joints(i); i++) |
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484 | { |
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485 | jointparam.select(j); |
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486 | len = gen.len(); |
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487 | jointparam.setParamTab(j->usedelta ? f0_joint_paramtab : f0_nodeltajoint_paramtab); |
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488 | gen += "j:"; |
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489 | jointparam.saveSingleLine(gen, handle_defaults ? &defaultjoint : NULL, true, !handle_defaults); |
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490 | if (map) |
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491 | map->add(len, gen.len() - 1, jointToMap(i)); |
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492 | } |
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493 | for (i = 0; n = (Neuro*)neurons(i); i++) |
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494 | { |
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495 | neuroparam.select(n); |
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496 | len = gen.len(); |
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497 | gen += "n:"; |
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498 | neuroparam.saveSingleLine(gen, handle_defaults ? &defaultneuro : NULL, true, !handle_defaults); |
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499 | if (map) |
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500 | map->add(len, gen.len() - 1, neuroToMap(i)); |
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501 | } |
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502 | for (a = 0; a < neurons.size(); a++) |
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503 | { // inputs |
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504 | n = (Neuro*)neurons(a); |
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505 | // if ((n->getInputCount()==1)&&(n->getInput(0).refno <= n->refno)) |
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506 | // continue; // already done with Neuro::conn_refno |
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507 | |
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508 | for (b = 0; b < n->getInputCount(); b++) |
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509 | { |
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510 | double w; |
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511 | NeuroConn nc; |
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512 | Neuro* n2 = n->getInput(b, w); |
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513 | // if (((n2.parentcount==1)&&(n2.parent)&&(n2.parent->refno < n2.refno)) ^ |
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514 | // (n2.neuro_refno>=0)) |
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515 | // printf("!!!! bad Neuro::neuro_refno ?!\n"); |
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516 | |
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517 | // if ((n2.parentcount==1)&&(n2.parent)&&(n2.parent->refno < n2.refno)) |
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518 | // if (n2.neuro_refno>=0) |
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519 | // continue; // already done with Neuro::neuro_refno |
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520 | |
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521 | nc.n1_refno = n->refno; nc.n2_refno = n2->refno; |
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522 | nc.weight = w; |
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523 | SString **s = n->inputInfo(b); |
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524 | if ((s) && (*s)) |
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525 | nc.info = **s; |
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526 | connparam.select(&nc); |
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527 | len = gen.len(); |
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528 | gen += "c:"; |
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529 | connparam.saveSingleLine(gen, handle_defaults ? &defaultconn : NULL, true, !handle_defaults); |
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530 | if (map) |
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531 | map->add(len, gen.len() - 1, neuroToMap(n->refno)); |
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532 | } |
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533 | } |
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534 | |
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535 | for (vector<Model*>::const_iterator it = checkpoints.begin(); it != checkpoints.end(); it++) |
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536 | { |
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537 | Geno g = (*it)->getF0Geno(); |
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538 | gen += F0_CHECKPOINT_LINE "\n"; |
---|
539 | gen += g.getGenes(); |
---|
540 | } |
---|
541 | |
---|
542 | g = Geno(gen.c_str(), '0'); |
---|
543 | } |
---|
544 | |
---|
545 | ////////////// |
---|
546 | |
---|
547 | void Model::open(bool _using_checkpoints, bool _is_checkpoint) |
---|
548 | { |
---|
549 | if (buildstatus == building) return; |
---|
550 | using_checkpoints = _using_checkpoints; |
---|
551 | is_checkpoint = _is_checkpoint; |
---|
552 | buildstatus = building; |
---|
553 | modelfromgenotype = 0; |
---|
554 | partmappingchanged = 0; |
---|
555 | f0genoknown = 0; |
---|
556 | delMap(); |
---|
557 | } |
---|
558 | |
---|
559 | int Model::getCheckpointCount() |
---|
560 | { |
---|
561 | return checkpoints.size(); |
---|
562 | } |
---|
563 | |
---|
564 | Model* Model::getCheckpoint(int i) |
---|
565 | { |
---|
566 | return checkpoints[i]; |
---|
567 | } |
---|
568 | |
---|
569 | void Model::checkpoint() |
---|
570 | { |
---|
571 | if (!using_checkpoints) return; |
---|
572 | updateRefno(); |
---|
573 | Model *m = new Model(*this, false, false, true); |
---|
574 | checkpoints.push_back(m); |
---|
575 | } |
---|
576 | |
---|
577 | void Model::setGeno(const Geno& newgeno) |
---|
578 | { |
---|
579 | geno = newgeno; |
---|
580 | } |
---|
581 | |
---|
582 | void Model::clearMap() |
---|
583 | { |
---|
584 | Part *p; Joint *j; Neuro *n; |
---|
585 | int i; |
---|
586 | delMap(); |
---|
587 | delF0Map(); |
---|
588 | for (i = 0; p = (Part*)parts(i); i++) |
---|
589 | p->clearMapping(); |
---|
590 | for (i = 0; j = (Joint*)joints(i); i++) |
---|
591 | j->clearMapping(); |
---|
592 | for (i = 0; n = (Neuro*)neurons(i); i++) |
---|
593 | n->clearMapping(); |
---|
594 | } |
---|
595 | |
---|
596 | int Model::close(bool building_live_model) |
---|
597 | { |
---|
598 | if (buildstatus != building) |
---|
599 | logPrintf("Model", "close", LOG_WARN, "Unexpected close() - no open()"); |
---|
600 | if (internalcheck(is_checkpoint ? CHECKPOINT_CHECK : (building_live_model ? LIVE_CHECK : FINAL_CHECK)) > 0) |
---|
601 | { |
---|
602 | buildstatus = valid; |
---|
603 | |
---|
604 | if (partmappingchanged) |
---|
605 | { |
---|
606 | getMap(); |
---|
607 | Part *p; Joint *j; Neuro *n; |
---|
608 | int i; |
---|
609 | for (i = 0; p = (Part*)parts(i); i++) |
---|
610 | if (p->getMapping()) |
---|
611 | map->add(*p->getMapping(), partToMap(i)); |
---|
612 | for (i = 0; j = (Joint*)joints(i); i++) |
---|
613 | if (j->getMapping()) |
---|
614 | map->add(*j->getMapping(), jointToMap(i)); |
---|
615 | for (i = 0; n = (Neuro*)neurons(i); i++) |
---|
616 | if (n->getMapping()) |
---|
617 | map->add(*n->getMapping(), neuroToMap(i)); |
---|
618 | } |
---|
619 | } |
---|
620 | else |
---|
621 | buildstatus = invalid; |
---|
622 | |
---|
623 | return (buildstatus == valid); |
---|
624 | } |
---|
625 | |
---|
626 | int Model::validate() |
---|
627 | { |
---|
628 | return internalcheck(EDITING_CHECK); |
---|
629 | } |
---|
630 | |
---|
631 | Pt3D Model::whereDelta(const Part& start, const Pt3D& rot, const Pt3D& delta) |
---|
632 | { |
---|
633 | Orient roto; |
---|
634 | roto = rot; |
---|
635 | Orient o; |
---|
636 | roto.transform(o, start.o); |
---|
637 | //o.x=start.o/roto.x; |
---|
638 | //o.y=start.o/roto.y; |
---|
639 | //o.z=start.o/roto.z; |
---|
640 | return o.transform(delta) + start.p; |
---|
641 | } |
---|
642 | |
---|
643 | int Model::addFromString(ItemType item_type, const SString &singleline, const MultiRange* srcrange) |
---|
644 | { |
---|
645 | return addFromString(item_type, singleline, 0, srcrange); |
---|
646 | } |
---|
647 | |
---|
648 | int Model::addFromString(ItemType item_type, const SString &singleline, int line_num, const MultiRange* srcrange) |
---|
649 | { |
---|
650 | SString error_message; |
---|
651 | int result = addFromStringNoLog(item_type, singleline, error_message, srcrange); |
---|
652 | if (result < 0) |
---|
653 | { |
---|
654 | if (error_message.len() == 0) // generic error when no detailed message is available |
---|
655 | error_message = "Invalid f0 code"; |
---|
656 | if (line_num>0) |
---|
657 | error_message += SString::sprintf(", line #%d", line_num); |
---|
658 | error_message += nameForErrors(); |
---|
659 | logPrintf("Model", "build", LOG_ERROR, "%s", error_message.c_str()); |
---|
660 | } |
---|
661 | return result; |
---|
662 | } |
---|
663 | |
---|
664 | int Model::addFromStringNoLog(ItemType item_type, const SString &line, SString& error_message, const MultiRange* srcrange) |
---|
665 | { |
---|
666 | error_message = SString::empty(); |
---|
667 | ParamInterface::LoadOptions opts; |
---|
668 | switch (item_type) |
---|
669 | { |
---|
670 | case PartType: |
---|
671 | { |
---|
672 | Param partparam(f0_part_paramtab); |
---|
673 | Part *p = new Part(); |
---|
674 | partparam.select(p); |
---|
675 | partparam.load(ParamInterface::FormatSingleLine, line, &opts); |
---|
676 | if (opts.parse_failed) { delete p; error_message = "Invalid 'p:'"; return -1; } |
---|
677 | p->o.rotate(p->rot); |
---|
678 | parts += p; |
---|
679 | p->owner = this; |
---|
680 | if (srcrange) p->setMapping(*srcrange); |
---|
681 | return getPartCount() - 1; |
---|
682 | } |
---|
683 | |
---|
684 | case ModelType: |
---|
685 | { |
---|
686 | Param modelparam(f0_model_paramtab); |
---|
687 | modelparam.select(this); |
---|
688 | modelparam.load(ParamInterface::FormatSingleLine, line, &opts); |
---|
689 | if (opts.parse_failed) { error_message = "Invalid 'm:'"; return -1; } |
---|
690 | return 0; |
---|
691 | } |
---|
692 | |
---|
693 | case JointType: |
---|
694 | { |
---|
695 | Param jointparam(f0_joint_paramtab); |
---|
696 | Joint *j = new Joint(); |
---|
697 | jointparam.select(j); |
---|
698 | j->owner = this; |
---|
699 | jointparam.load(ParamInterface::FormatSingleLine, line, &opts); |
---|
700 | if (opts.parse_failed) { delete j; error_message = "Invalid 'j:'"; return -1; } |
---|
701 | bool p1_ok = false, p2_ok = false; |
---|
702 | if ((p1_ok = ((j->p1_refno >= 0) && (j->p1_refno < getPartCount()))) && |
---|
703 | (p2_ok = ((j->p2_refno >= 0) && (j->p2_refno < getPartCount())))) |
---|
704 | { |
---|
705 | addJoint(j); |
---|
706 | if ((j->d.x != JOINT_DELTA_MARKER) || (j->d.y != JOINT_DELTA_MARKER) || (j->d.z != JOINT_DELTA_MARKER)) |
---|
707 | { |
---|
708 | j->useDelta(1); |
---|
709 | j->resetDeltaMarkers(); |
---|
710 | } |
---|
711 | j->attachToParts(j->p1_refno, j->p2_refno); |
---|
712 | if (srcrange) j->setMapping(*srcrange); |
---|
713 | return j->refno; |
---|
714 | } |
---|
715 | else |
---|
716 | { |
---|
717 | error_message = SString::sprintf("Invalid reference to Part #%d", p1_ok ? j->p1_refno : j->p2_refno); |
---|
718 | delete j; |
---|
719 | return -1; |
---|
720 | } |
---|
721 | } |
---|
722 | |
---|
723 | case NeuronType: |
---|
724 | { |
---|
725 | Param neuroparam(f0_neuro_paramtab); |
---|
726 | Neuro *nu = new Neuro(); |
---|
727 | neuroparam.select(nu); |
---|
728 | neuroparam.load(ParamInterface::FormatSingleLine, line, &opts); |
---|
729 | if (opts.parse_failed) { delete nu; error_message = "Invalid 'n:'"; return -1; } |
---|
730 | { |
---|
731 | // default class for unparented units: standard neuron |
---|
732 | if (nu->getClassName().len() == 0) nu->setClassName("N"); |
---|
733 | } |
---|
734 | /* |
---|
735 | if (nu->conn_refno>=0) // input specified... |
---|
736 | { |
---|
737 | if (nu->conn_refno >= getNeuroCount()) // and it's illegal |
---|
738 | { |
---|
739 | delete nu; |
---|
740 | return -1; |
---|
741 | } |
---|
742 | Neuro *inputNU=getNeuro(nu->conn_refno); |
---|
743 | nu->addInput(inputNU,nu->weight); |
---|
744 | } |
---|
745 | */ |
---|
746 | nu->owner = this; |
---|
747 | // attach to part/joint |
---|
748 | if (nu->part_refno >= 0) |
---|
749 | { |
---|
750 | nu->attachToPart(nu->part_refno); |
---|
751 | if (nu->part == NULL) |
---|
752 | { |
---|
753 | error_message = SString::sprintf("Invalid reference to Part #%d", nu->part_refno); delete nu; return -1; |
---|
754 | } |
---|
755 | } |
---|
756 | if (nu->joint_refno >= 0) |
---|
757 | { |
---|
758 | nu->attachToJoint(nu->joint_refno); |
---|
759 | if (nu->joint == NULL) |
---|
760 | { |
---|
761 | error_message = SString::sprintf("Invalid reference to Joint #%d", nu->joint_refno); delete nu; return -1; |
---|
762 | } |
---|
763 | } |
---|
764 | if (srcrange) nu->setMapping(*srcrange); |
---|
765 | // todo: check part/joint ref# |
---|
766 | { |
---|
767 | neurons += nu; |
---|
768 | return neurons.size() - 1; |
---|
769 | } |
---|
770 | } |
---|
771 | |
---|
772 | case NeuronConnectionType: |
---|
773 | { |
---|
774 | Param ncparam(f0_neuroconn_paramtab); |
---|
775 | NeuroConn c; |
---|
776 | ncparam.select(&c); |
---|
777 | ncparam.load(ParamInterface::FormatSingleLine, line, &opts); |
---|
778 | if (opts.parse_failed) { error_message = "Invalid 'c:'"; return -1; } |
---|
779 | bool n1_ok = false, n2_ok = false; |
---|
780 | if ((n1_ok = ((c.n1_refno >= 0) && (c.n1_refno < getNeuroCount()))) |
---|
781 | && (n2_ok = ((c.n2_refno >= 0) && (c.n2_refno < getNeuroCount())))) |
---|
782 | { |
---|
783 | Neuro *na = getNeuro(c.n1_refno); |
---|
784 | Neuro *nb = getNeuro(c.n2_refno); |
---|
785 | na->addInput(nb, c.weight, &c.info); |
---|
786 | if (srcrange) |
---|
787 | na->addMapping(*srcrange); |
---|
788 | return 0; |
---|
789 | } |
---|
790 | error_message = SString::sprintf("Invalid reference to Neuro #%d", n1_ok ? c.n2_refno : c.n1_refno); |
---|
791 | return -1; |
---|
792 | } |
---|
793 | |
---|
794 | case CheckpointType: case UnknownType: //handled by addFromString for uniform error handling |
---|
795 | return -1; |
---|
796 | } |
---|
797 | return -1; |
---|
798 | } |
---|
799 | |
---|
800 | |
---|
801 | ///////////// |
---|
802 | |
---|
803 | void Model::updateRefno() |
---|
804 | { |
---|
805 | for (int i = 0; i < parts.size(); i++) |
---|
806 | getPart(i)->refno = i; |
---|
807 | for (int i = 0; i < joints.size(); i++) |
---|
808 | { |
---|
809 | Joint *j = getJoint(i); |
---|
810 | j->refno = i; |
---|
811 | if (j->part1 && j->part2 && (j->part1 != j->part2)) |
---|
812 | { |
---|
813 | j->p1_refno = j->part1->refno; |
---|
814 | j->p2_refno = j->part2->refno; |
---|
815 | } |
---|
816 | } |
---|
817 | for (int i = 0; i < neurons.size(); i++) |
---|
818 | getNeuro(i)->refno = i; |
---|
819 | } |
---|
820 | |
---|
821 | #define VALIDMINMAX(var,template,field) \ |
---|
822 | if (var -> field < getMin ## template () . field) \ |
---|
823 | { var->field= getMin ## template () . field; \ |
---|
824 | logPrintf("Model","internalCheck",LOG_WARN,# field " too small in " # template " #%d (adjusted)",i);} \ |
---|
825 | else if (var -> field > getMax ## template () . field) \ |
---|
826 | { var->field= getMax ## template () . field; \ |
---|
827 | logPrintf("Model","internalCheck",LOG_WARN,# field " too big in " # template " #%d (adjusted)",i);} |
---|
828 | |
---|
829 | #define LINKFLAG 0x8000000 |
---|
830 | |
---|
831 | SString Model::nameForErrors() const |
---|
832 | { |
---|
833 | if (geno.getName().len()>0) |
---|
834 | return SString::sprintf(" in '%s'", geno.getName().c_str()); |
---|
835 | return SString::empty(); |
---|
836 | } |
---|
837 | |
---|
838 | int Model::internalcheck(CheckType check) |
---|
839 | { |
---|
840 | Part *p; |
---|
841 | Joint *j; |
---|
842 | Neuro *n; |
---|
843 | int i, k; |
---|
844 | int ret = 1; |
---|
845 | shape = SHAPE_UNKNOWN; |
---|
846 | updateRefno(); |
---|
847 | if ((parts.size() == 0) && (neurons.size() == 0)) return 0; |
---|
848 | if (parts.size() == 0) |
---|
849 | size = Pt3D_0; |
---|
850 | else |
---|
851 | { |
---|
852 | Pt3D bbmin = ((Part*)parts(0))->p, bbmax = bbmin; |
---|
853 | for (i = 0; i < parts.size(); i++) |
---|
854 | { |
---|
855 | p = (Part*)parts(i); |
---|
856 | p->owner = this; |
---|
857 | if (checklevel > 0) |
---|
858 | p->mass = 0.0; |
---|
859 | //VALIDMINMAX(p,part,mass);//mass is very special |
---|
860 | // VALIDMINMAX are managed manually when adding part properties in f0-def! |
---|
861 | // (could be made dynamic but not really worth the effort) |
---|
862 | VALIDMINMAX(p, Part, size); |
---|
863 | VALIDMINMAX(p, Part, scale.x); |
---|
864 | VALIDMINMAX(p, Part, scale.y); |
---|
865 | VALIDMINMAX(p, Part, scale.z); |
---|
866 | VALIDMINMAX(p, Part, hollow); |
---|
867 | VALIDMINMAX(p, Part, density); |
---|
868 | VALIDMINMAX(p, Part, friction); |
---|
869 | VALIDMINMAX(p, Part, ingest); |
---|
870 | VALIDMINMAX(p, Part, assim); |
---|
871 | VALIDMINMAX(p, Part, vsize); |
---|
872 | VALIDMINMAX(p, Part, vcolor.x); |
---|
873 | VALIDMINMAX(p, Part, vcolor.y); |
---|
874 | VALIDMINMAX(p, Part, vcolor.z); |
---|
875 | p->flags &= ~LINKFLAG; // for delta joint cycle detection |
---|
876 | if (p->p.x - p->size < bbmin.x) bbmin.x = p->p.x - p->size; |
---|
877 | if (p->p.y - p->size < bbmin.y) bbmin.y = p->p.y - p->size; |
---|
878 | if (p->p.z - p->size < bbmin.z) bbmin.z = p->p.z - p->size; |
---|
879 | if (p->p.x + p->size > bbmax.x) bbmax.x = p->p.x + p->size; |
---|
880 | if (p->p.y + p->size > bbmax.y) bbmax.y = p->p.y + p->size; |
---|
881 | if (p->p.z + p->size > bbmax.z) bbmax.z = p->p.z + p->size; |
---|
882 | if (shape == SHAPE_UNKNOWN) |
---|
883 | shape = (p->shape == Part::SHAPE_BALL_AND_STICK) ? SHAPE_BALL_AND_STICK : SHAPE_SOLIDS; |
---|
884 | else if (shape != SHAPE_ILLEGAL) |
---|
885 | { |
---|
886 | if ((p->shape == Part::SHAPE_BALL_AND_STICK) ^ (shape == SHAPE_BALL_AND_STICK)) |
---|
887 | { |
---|
888 | shape = SHAPE_ILLEGAL; |
---|
889 | logPrintf("Model", "internalCheck", LOG_WARN, "Inconsistent part shapes (mixed ball-and-stick and solids shape types)%s", nameForErrors().c_str()); |
---|
890 | } |
---|
891 | } |
---|
892 | } |
---|
893 | size = bbmax - bbmin; |
---|
894 | for (i = 0; i < joints.size(); i++) |
---|
895 | { |
---|
896 | j = (Joint*)joints(i); |
---|
897 | // VALIDMINMAX are managed manually when adding joint properties in f0-def! |
---|
898 | // (could be made dynamic but not really worth the effort) |
---|
899 | VALIDMINMAX(j, Joint, stamina); |
---|
900 | VALIDMINMAX(j, Joint, stif); |
---|
901 | VALIDMINMAX(j, Joint, rotstif); |
---|
902 | VALIDMINMAX(p, Part, vcolor.x); |
---|
903 | VALIDMINMAX(p, Part, vcolor.y); |
---|
904 | VALIDMINMAX(p, Part, vcolor.z); |
---|
905 | j->refno = i; |
---|
906 | j->owner = this; |
---|
907 | if (j->part1 && j->part2 && (j->part1 != j->part2)) |
---|
908 | { |
---|
909 | j->p1_refno = j->part1->refno; |
---|
910 | j->p2_refno = j->part2->refno; |
---|
911 | if (checklevel > 0) |
---|
912 | { |
---|
913 | j->part1->mass += 1.0; |
---|
914 | j->part2->mass += 1.0; |
---|
915 | } |
---|
916 | if ((j->usedelta) && ((j->d.x != JOINT_DELTA_MARKER) || (j->d.y != JOINT_DELTA_MARKER) || (j->d.z != JOINT_DELTA_MARKER))) |
---|
917 | { // delta positioning -> calc. orient. |
---|
918 | if (j->part2->flags & LINKFLAG) |
---|
919 | { |
---|
920 | ret = 0; |
---|
921 | logPrintf("Model", "internalCheck", LOG_ERROR, |
---|
922 | "Delta joint cycle detected at Joint #%d%s", |
---|
923 | i, nameForErrors().c_str()); |
---|
924 | } |
---|
925 | j->resetDeltaMarkers(); |
---|
926 | j->o = j->rot; |
---|
927 | j->part1->o.transform(j->part2->o, j->o); |
---|
928 | // j->part2->o.x=j->part1->o/j->o.x; |
---|
929 | // j->part2->o.y=j->part1->o/j->o.y; |
---|
930 | // j->part2->o.z=j->part1->o/j->o.z; |
---|
931 | j->part2->p = j->part2->o.transform(j->d) + j->part1->p; |
---|
932 | j->part2->flags |= LINKFLAG; j->part1->flags |= LINKFLAG; // for delta joint cycle detection |
---|
933 | } |
---|
934 | else |
---|
935 | { // abs.positioning -> calc. delta |
---|
936 | if (check != EDITING_CHECK) |
---|
937 | { |
---|
938 | // calc orient delta |
---|
939 | // Orient tmpo(j->part2->o); |
---|
940 | // tmpo*=j->part1->o; |
---|
941 | Orient tmpo; |
---|
942 | j->part1->o.revTransform(tmpo, j->part2->o); |
---|
943 | tmpo.getAngles(j->rot); |
---|
944 | j->o = j->rot; |
---|
945 | // calc position delta |
---|
946 | Pt3D tmpp(j->part2->p); |
---|
947 | tmpp -= j->part1->p; |
---|
948 | j->d = j->part2->o.revTransform(tmpp); |
---|
949 | } |
---|
950 | } |
---|
951 | if ((check != LIVE_CHECK) && (check != CHECKPOINT_CHECK)) |
---|
952 | { |
---|
953 | if (j->shape != Joint::SHAPE_FIXED) |
---|
954 | { |
---|
955 | if (j->d() > getMaxJoint().d.x) |
---|
956 | { |
---|
957 | ret = 0; |
---|
958 | 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()); |
---|
959 | } |
---|
960 | } |
---|
961 | } |
---|
962 | } |
---|
963 | else |
---|
964 | { |
---|
965 | logPrintf("Model", "internalCheck", LOG_ERROR, "Illegal part references in Joint #%d%s", i, nameForErrors().c_str()); |
---|
966 | ret = 0; |
---|
967 | } |
---|
968 | if (shape != SHAPE_ILLEGAL) |
---|
969 | { |
---|
970 | if ((j->shape == Joint::SHAPE_BALL_AND_STICK) ^ (shape == SHAPE_BALL_AND_STICK)) |
---|
971 | { |
---|
972 | shape = SHAPE_ILLEGAL; |
---|
973 | logPrintf("Model", "internalCheck", LOG_WARN, "Inconsistent joint shapes (mixed old and new shapes)%s", nameForErrors().c_str()); |
---|
974 | } |
---|
975 | } |
---|
976 | } |
---|
977 | } |
---|
978 | |
---|
979 | for (i = 0; i < neurons.size(); i++) |
---|
980 | { |
---|
981 | n = (Neuro*)neurons(i); |
---|
982 | n->part_refno = (n->part) ? n->part->refno : -1; |
---|
983 | n->joint_refno = (n->joint) ? n->joint->refno : -1; |
---|
984 | } |
---|
985 | |
---|
986 | if (check != CHECKPOINT_CHECK) |
---|
987 | { |
---|
988 | |
---|
989 | if (parts.size() && (checklevel > 0)) |
---|
990 | { |
---|
991 | for (i = 0; i < parts.size(); i++) |
---|
992 | { |
---|
993 | p = (Part*)parts(i); |
---|
994 | if (p->mass <= 0.001) |
---|
995 | p->mass = 1.0; |
---|
996 | p->flags &= ~LINKFLAG; |
---|
997 | } |
---|
998 | getPart(0)->flags |= LINKFLAG; |
---|
999 | int change = 1; |
---|
1000 | while (change) |
---|
1001 | { |
---|
1002 | change = 0; |
---|
1003 | for (i = 0; i < joints.size(); i++) |
---|
1004 | { |
---|
1005 | j = (Joint*)joints(i); |
---|
1006 | if (j->part1->flags&LINKFLAG) |
---|
1007 | { |
---|
1008 | if (!(j->part2->flags&LINKFLAG)) |
---|
1009 | { |
---|
1010 | change = 1; |
---|
1011 | j->part2->flags |= LINKFLAG; |
---|
1012 | } |
---|
1013 | } |
---|
1014 | else |
---|
1015 | if (j->part2->flags&LINKFLAG) |
---|
1016 | { |
---|
1017 | if (!(j->part1->flags&LINKFLAG)) |
---|
1018 | { |
---|
1019 | change = 1; |
---|
1020 | j->part1->flags |= LINKFLAG; |
---|
1021 | } |
---|
1022 | } |
---|
1023 | } |
---|
1024 | } |
---|
1025 | for (i = 0; i < parts.size(); i++) |
---|
1026 | { |
---|
1027 | p = (Part*)parts(i); |
---|
1028 | if (!(p->flags&LINKFLAG)) |
---|
1029 | { |
---|
1030 | logPrintf("Model", "internalCheck", LOG_ERROR, "Not all parts connected (eg. Part #0 and Part #%d)%s", i, nameForErrors().c_str()); |
---|
1031 | ret = 0; |
---|
1032 | break; |
---|
1033 | } |
---|
1034 | } |
---|
1035 | } |
---|
1036 | |
---|
1037 | for (i = 0; i < joints.size(); i++) |
---|
1038 | { |
---|
1039 | j = (Joint*)joints(i); |
---|
1040 | if (j->p1_refno == j->p2_refno) |
---|
1041 | { |
---|
1042 | logPrintf("Model", "internalCheck", LOG_ERROR, "Illegal self connection, Joint #%d%s", i, nameForErrors().c_str()); |
---|
1043 | ret = 0; |
---|
1044 | break; |
---|
1045 | } |
---|
1046 | for (k = i + 1; k < joints.size(); k++) |
---|
1047 | { |
---|
1048 | Joint* j2 = (Joint*)joints(k); |
---|
1049 | if (((j->p1_refno == j2->p1_refno) && (j->p2_refno == j2->p2_refno)) |
---|
1050 | || ((j->p1_refno == j2->p2_refno) && (j->p2_refno == j2->p1_refno))) |
---|
1051 | { |
---|
1052 | logPrintf("Model", "internalCheck", LOG_ERROR, "Illegal duplicate Joint #%d and Joint #%d%s", i, k, nameForErrors().c_str()); |
---|
1053 | ret = 0; |
---|
1054 | break; |
---|
1055 | } |
---|
1056 | } |
---|
1057 | } |
---|
1058 | } |
---|
1059 | |
---|
1060 | if (shape == SHAPE_ILLEGAL) |
---|
1061 | ret = 0; |
---|
1062 | return ret; |
---|
1063 | } |
---|
1064 | |
---|
1065 | ///////////// |
---|
1066 | |
---|
1067 | int Model::getErrorPosition(bool includingwarnings) |
---|
1068 | { |
---|
1069 | return includingwarnings ? |
---|
1070 | ((f0errorposition >= 0) ? f0errorposition : f0warnposition) |
---|
1071 | : |
---|
1072 | f0errorposition; |
---|
1073 | } |
---|
1074 | |
---|
1075 | const Geno& Model::getGeno() const |
---|
1076 | { |
---|
1077 | return geno; |
---|
1078 | } |
---|
1079 | |
---|
1080 | const Geno Model::getF0Geno() |
---|
1081 | { |
---|
1082 | if (buildstatus == building) |
---|
1083 | logPrintf("Model", "getGeno", LOG_WARN, "Model was not completed - missing close()"); |
---|
1084 | if (buildstatus != valid) |
---|
1085 | return Geno("", '0', "", "invalid"); |
---|
1086 | if (!f0genoknown) |
---|
1087 | { |
---|
1088 | if (autobuildmaps) |
---|
1089 | { |
---|
1090 | initF0Map(); |
---|
1091 | makeGeno(f0geno, f0map); |
---|
1092 | } |
---|
1093 | else |
---|
1094 | { |
---|
1095 | delF0Map(); |
---|
1096 | makeGeno(f0geno); |
---|
1097 | } |
---|
1098 | f0genoknown = 1; |
---|
1099 | } |
---|
1100 | return f0geno; |
---|
1101 | } |
---|
1102 | |
---|
1103 | int Model::getPartCount() const |
---|
1104 | { |
---|
1105 | return parts.size(); |
---|
1106 | } |
---|
1107 | |
---|
1108 | Part* Model::getPart(int i) const |
---|
1109 | { |
---|
1110 | return ((Part*)parts(i)); |
---|
1111 | } |
---|
1112 | |
---|
1113 | int Model::getJointCount() const |
---|
1114 | { |
---|
1115 | return joints.size(); |
---|
1116 | } |
---|
1117 | |
---|
1118 | Joint* Model::getJoint(int i) const |
---|
1119 | { |
---|
1120 | return ((Joint*)joints(i)); |
---|
1121 | } |
---|
1122 | |
---|
1123 | int Model::findJoints(SList& result, const Part* part) |
---|
1124 | { |
---|
1125 | Joint *j; |
---|
1126 | int n0 = result.size(); |
---|
1127 | if (part) |
---|
1128 | for (int i = 0; j = (Joint*)joints(i); i++) |
---|
1129 | if ((j->part1 == part) || (j->part2 == part)) result += (void*)j; |
---|
1130 | return result.size() - n0; |
---|
1131 | } |
---|
1132 | |
---|
1133 | int Model::findNeuro(Neuro* n) |
---|
1134 | { |
---|
1135 | return neurons.find(n); |
---|
1136 | } |
---|
1137 | |
---|
1138 | int Model::findPart(Part* p) |
---|
1139 | { |
---|
1140 | return parts.find(p); |
---|
1141 | } |
---|
1142 | |
---|
1143 | int Model::findJoint(Joint* j) |
---|
1144 | { |
---|
1145 | return joints.find(j); |
---|
1146 | } |
---|
1147 | |
---|
1148 | int Model::findJoint(Part *p1, Part *p2) |
---|
1149 | { |
---|
1150 | Joint* j; |
---|
1151 | for (int i = 0; j = getJoint(i); i++) |
---|
1152 | if ((j->part1 == p1) && (j->part2 == p2)) return i; |
---|
1153 | return -1; |
---|
1154 | } |
---|
1155 | |
---|
1156 | /////////////////////// |
---|
1157 | |
---|
1158 | int Model::getNeuroCount() const |
---|
1159 | { |
---|
1160 | return neurons.size(); |
---|
1161 | } |
---|
1162 | |
---|
1163 | Neuro* Model::getNeuro(int i) const |
---|
1164 | { |
---|
1165 | return (Neuro*)neurons(i); |
---|
1166 | } |
---|
1167 | |
---|
1168 | int Model::getConnectionCount() const |
---|
1169 | { |
---|
1170 | int n = 0; |
---|
1171 | for (int i = 0; i < getNeuroCount(); i++) |
---|
1172 | n += getNeuro(i)->getInputCount(); |
---|
1173 | return n; |
---|
1174 | } |
---|
1175 | |
---|
1176 | int Model::findNeuros(SList& result, |
---|
1177 | const char* classname, const Part* part, const Joint* joint) |
---|
1178 | { |
---|
1179 | Neuro *nu; |
---|
1180 | SString cn(classname); |
---|
1181 | int n0 = result.size(); |
---|
1182 | for (int i = 0; nu = (Neuro*)neurons(i); i++) |
---|
1183 | { |
---|
1184 | if (part) |
---|
1185 | if (nu->part != part) continue; |
---|
1186 | if (joint) |
---|
1187 | if (nu->joint != joint) continue; |
---|
1188 | if (classname) |
---|
1189 | if (nu->getClassName() != cn) continue; |
---|
1190 | result += (void*)nu; |
---|
1191 | } |
---|
1192 | return result.size() - n0; |
---|
1193 | } |
---|
1194 | |
---|
1195 | /////////////////// |
---|
1196 | |
---|
1197 | void Model::disturb(double amount) |
---|
1198 | { |
---|
1199 | int i; |
---|
1200 | if (amount <= 0) return; |
---|
1201 | for (i = 0; i < parts.size(); i++) |
---|
1202 | { |
---|
1203 | Part *p = getPart(i); |
---|
1204 | p->p.x += (rnd01 - 0.5)*amount; |
---|
1205 | p->p.y += (rnd01 - 0.5)*amount; |
---|
1206 | p->p.z += (rnd01 - 0.5)*amount; |
---|
1207 | } |
---|
1208 | for (i = 0; i < joints.size(); i++) |
---|
1209 | { |
---|
1210 | Joint *j = getJoint(i); |
---|
1211 | Pt3D tmpp(j->part2->p); |
---|
1212 | tmpp -= j->part1->p; |
---|
1213 | j->d = j->part2->o.revTransform(tmpp); |
---|
1214 | } |
---|
1215 | } |
---|
1216 | |
---|
1217 | void Model::move(const Pt3D& shift) |
---|
1218 | { |
---|
1219 | FOREACH(Part*, p, parts) |
---|
1220 | p->p += shift; |
---|
1221 | } |
---|
1222 | |
---|
1223 | void Model::rotate(const Orient& rotation) |
---|
1224 | { |
---|
1225 | FOREACH(Part*, p, parts) |
---|
1226 | { |
---|
1227 | p->p = rotation.transform(p->p); |
---|
1228 | p->setOrient(rotation.transform(p->o)); |
---|
1229 | } |
---|
1230 | } |
---|
1231 | |
---|
1232 | void Model::buildUsingSolidShapeTypes(const Model& src_ballandstick_shapes, Part::Shape use_shape, float thickness) |
---|
1233 | { |
---|
1234 | for (int i = 0; i < src_ballandstick_shapes.getJointCount(); i++) |
---|
1235 | { |
---|
1236 | Joint *oj = src_ballandstick_shapes.getJoint(i); |
---|
1237 | Part *p = addNewPart(use_shape); |
---|
1238 | p->p = (oj->part1->p + oj->part2->p) / 2; |
---|
1239 | Orient o; |
---|
1240 | o.lookAt(oj->part1->p - oj->part2->p); |
---|
1241 | p->rot = o.getAngles(); |
---|
1242 | p->scale.x = oj->part1->p.distanceTo(oj->part2->p) / 2; |
---|
1243 | p->scale.y = thickness; |
---|
1244 | p->scale.z = thickness; |
---|
1245 | } |
---|
1246 | if (src_ballandstick_shapes.getJointCount() == 0) //single part "ball-and-stick" models are valid so let's make a valid solid shape model |
---|
1247 | for (int i = 0; i < src_ballandstick_shapes.getPartCount(); i++) |
---|
1248 | { |
---|
1249 | Part *op = src_ballandstick_shapes.getPart(i); |
---|
1250 | Part *p = addNewPart(Part::SHAPE_ELLIPSOID); //always using spherical shape regardless of the 'use_shape' parameter - 'use shape' is meant for sticks! |
---|
1251 | p->p = op->p; |
---|
1252 | p->rot = op->rot; |
---|
1253 | p->scale.x = p->scale.y = p->scale.z = thickness; |
---|
1254 | } |
---|
1255 | for (int i = 0; i < src_ballandstick_shapes.getPartCount(); i++) |
---|
1256 | { |
---|
1257 | Part *op = src_ballandstick_shapes.getPart(i); |
---|
1258 | for (int j = 0; j < src_ballandstick_shapes.getJointCount(); j++) |
---|
1259 | { |
---|
1260 | Joint *oj = src_ballandstick_shapes.getJoint(j); |
---|
1261 | if ((oj->part1 == op) || (oj->part2 == op)) |
---|
1262 | { |
---|
1263 | for (int j2 = j + 1; j2 < src_ballandstick_shapes.getJointCount(); j2++) |
---|
1264 | { |
---|
1265 | Joint *oj2 = src_ballandstick_shapes.getJoint(j2); |
---|
1266 | if ((oj2->part1 == op) || (oj2->part2 == op)) |
---|
1267 | { |
---|
1268 | addNewJoint(getPart(j), getPart(j2), Joint::SHAPE_FIXED); |
---|
1269 | } |
---|
1270 | } |
---|
1271 | break; |
---|
1272 | } |
---|
1273 | } |
---|
1274 | } |
---|
1275 | } |
---|
1276 | |
---|
1277 | SolidsShapeTypeModel::SolidsShapeTypeModel(Model& m, Part::Shape use_shape, float thickness) |
---|
1278 | { |
---|
1279 | using_model = converted_model = NULL; |
---|
1280 | if (m.getShapeType() == Model::SHAPE_BALL_AND_STICK) |
---|
1281 | { |
---|
1282 | converted_model = new Model; |
---|
1283 | converted_model->open(); |
---|
1284 | converted_model->buildUsingSolidShapeTypes(m, use_shape, thickness); |
---|
1285 | converted_model->close(); |
---|
1286 | using_model = converted_model; |
---|
1287 | } |
---|
1288 | else |
---|
1289 | { |
---|
1290 | converted_model = NULL; |
---|
1291 | using_model = &m; |
---|
1292 | } |
---|
1293 | } |
---|
1294 | |
---|
1295 | ////////////////////// |
---|
1296 | |
---|
1297 | int Model::elementToMap(ItemType type, int index) |
---|
1298 | { |
---|
1299 | switch (type) |
---|
1300 | { |
---|
1301 | case PartType: return partToMap(index); |
---|
1302 | case JointType: return jointToMap(index); |
---|
1303 | case NeuronType: return neuroToMap(index); |
---|
1304 | default: return -1; |
---|
1305 | } |
---|
1306 | } |
---|
1307 | |
---|
1308 | Model::TypeAndIndex Model::mapToElement(int map_index) |
---|
1309 | { |
---|
1310 | if ((map_index >= 0) && (map_index < MODEL_MAPPING_OFFSET)) |
---|
1311 | return TypeAndIndex(PartType, mapToPart(map_index)); |
---|
1312 | if ((map_index >= MODEL_MAPPING_OFFSET) && (map_index < 2 * MODEL_MAPPING_OFFSET)) |
---|
1313 | return TypeAndIndex(JointType, mapToJoint(map_index)); |
---|
1314 | if ((map_index >= 2 * MODEL_MAPPING_OFFSET) && (map_index < 3 * MODEL_MAPPING_OFFSET)) |
---|
1315 | return TypeAndIndex(NeuronType, mapToNeuro(map_index)); |
---|
1316 | return TypeAndIndex(); |
---|
1317 | } |
---|
1318 | |
---|
1319 | int Model::partToMap(int i) { return MODEL_MAPPING_OFFSET + i; } |
---|
1320 | int Model::jointToMap(int i) { return 2 * MODEL_MAPPING_OFFSET + i; } |
---|
1321 | int Model::neuroToMap(int i) { return 3 * MODEL_MAPPING_OFFSET + i; } |
---|
1322 | int Model::mapToPart(int i) { return i - MODEL_MAPPING_OFFSET; } |
---|
1323 | int Model::mapToJoint(int i) { return i - 2 * MODEL_MAPPING_OFFSET; } |
---|
1324 | int Model::mapToNeuro(int i) { return i - 3 * MODEL_MAPPING_OFFSET; } |
---|
1325 | |
---|
1326 | |
---|
1327 | ////////////////////// |
---|
1328 | |
---|
1329 | class MinPart : public Part { public: MinPart() { Param par(f0_part_paramtab, this); par.setMin(); } }; |
---|
1330 | class MaxPart : public Part { public: MaxPart() { Param par(f0_part_paramtab, this); par.setMax(); } }; |
---|
1331 | class MinJoint : public Joint { public: MinJoint() { Param par(f0_joint_paramtab, this); par.setMin(); } }; |
---|
1332 | class MaxJoint : public Joint { public: MaxJoint() { Param par(f0_joint_paramtab, this); par.setMax(); } }; |
---|
1333 | class MinNeuro : public Neuro { public: MinNeuro() { Param par(f0_neuro_paramtab, this); par.setMin(); } }; |
---|
1334 | class MaxNeuro : public Neuro { public: MaxNeuro() { Param par(f0_neuro_paramtab, this); par.setMax(); } }; |
---|
1335 | |
---|
1336 | Part& Model::getMinPart() { static MinPart part; return part; } |
---|
1337 | Part& Model::getMaxPart() { static MaxPart part; return part; } |
---|
1338 | Part& Model::getDefPart() { static Part part; return part; } |
---|
1339 | Joint& Model::getMinJoint() { static MinJoint joint; return joint; } |
---|
1340 | Joint& Model::getMaxJoint() { static MaxJoint joint; return joint; } |
---|
1341 | Joint& Model::getDefJoint() { static Joint joint; return joint; } |
---|
1342 | Neuro& Model::getMinNeuro() { static MinNeuro neuro; return neuro; } |
---|
1343 | Neuro& Model::getMaxNeuro() { static MaxNeuro neuro; return neuro; } |
---|
1344 | Neuro& Model::getDefNeuro() { static Neuro neuro; return neuro; } |
---|