[286] | 1 | // This file is a part of Framsticks SDK. http://www.framsticks.com/ |
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[972] | 2 | // Copyright (C) 1999-2020 Maciej Komosinski and Szymon Ulatowski. |
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[286] | 3 | // See LICENSE.txt for details. |
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[109] | 4 | |
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| 5 | #include <common/nonstd_math.h> |
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| 6 | #include "model.h" |
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[375] | 7 | #include <common/log.h> |
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[109] | 8 | #include <frams/util/multimap.h> |
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[391] | 9 | #include <common/loggers/loggers.h> |
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[109] | 10 | |
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[732] | 11 | #define F0_CHECKPOINT_LINE "checkpoint:" |
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| 12 | |
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[972] | 13 | Model::Model(ShapeType sh) |
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[109] | 14 | { |
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[522] | 15 | autobuildmaps = false; |
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[972] | 16 | init(sh); |
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[109] | 17 | } |
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| 18 | |
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[999] | 19 | void Model::init(ShapeType shtype) |
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[109] | 20 | { |
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[522] | 21 | partmappingchanged = 0; |
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[732] | 22 | using_checkpoints = false; |
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| 23 | is_checkpoint = false; |
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[522] | 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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[999] | 31 | shapetype = SHAPETYPE_UNKNOWN; |
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| 32 | declared_shapetype = shtype; |
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[109] | 33 | } |
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| 34 | |
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[999] | 35 | void Model::declareShapeType(ShapeType shtype) |
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[972] | 36 | { |
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[999] | 37 | declared_shapetype = shtype; |
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[972] | 38 | } |
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| 39 | |
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[109] | 40 | void Model::moveElementsFrom(Model &source) |
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| 41 | { |
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[522] | 42 | int i; |
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| 43 | open(); |
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| 44 | for (i = 0; i < source.getPartCount(); i++) |
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| 45 | addPart(source.getPart(i)); |
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| 46 | for (i = 0; i < source.getJointCount(); i++) |
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| 47 | addJoint(source.getJoint(i)); |
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| 48 | for (i = 0; i < source.getNeuroCount(); i++) |
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| 49 | addNeuro(source.getNeuro(i)); |
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| 50 | source.parts.clear(); source.joints.clear(); source.neurons.clear(); |
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| 51 | source.clear(); |
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[109] | 52 | } |
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| 53 | |
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| 54 | void Model::internalCopy(const Model &mod) |
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| 55 | { |
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[522] | 56 | geno = mod.geno; |
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| 57 | f0genoknown = 0; |
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[999] | 58 | shapetype = mod.shapetype; |
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| 59 | declared_shapetype = mod.declared_shapetype; |
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[522] | 60 | startenergy = mod.startenergy; |
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[732] | 61 | modelfromgenotype = mod.modelfromgenotype; |
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| 62 | for (int i = 0; i < mod.getPartCount(); i++) |
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| 63 | addPart(new Part(*mod.getPart(i))); |
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| 64 | for (int i = 0; i < mod.getJointCount(); i++) |
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[109] | 65 | { |
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[522] | 66 | Joint *oldj = mod.getJoint(i); |
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| 67 | Joint *j = new Joint(*oldj); |
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[109] | 68 | addJoint(j); |
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[522] | 69 | j->attachToParts(oldj->part1->refno, oldj->part2->refno); |
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[732] | 70 | } |
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| 71 | for (int i = 0; i < mod.getNeuroCount(); i++) |
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[522] | 72 | { |
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| 73 | Neuro *oldn = mod.getNeuro(i); |
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| 74 | Neuro *n = new Neuro(*oldn); |
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[109] | 75 | addNeuro(n); |
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[522] | 76 | if (oldn->part_refno >= 0) n->attachToPart(oldn->part_refno); |
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[109] | 77 | else n->attachToJoint(oldn->joint_refno); |
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[732] | 78 | } |
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| 79 | for (int i = 0; i < mod.getNeuroCount(); i++) |
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| 80 | { |
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| 81 | Neuro *oldn = mod.getNeuro(i); |
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| 82 | Neuro *n = getNeuro(i); |
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| 83 | for (int ni = 0; ni < oldn->getInputCount(); ni++) |
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[109] | 84 | { |
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[732] | 85 | double w; |
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| 86 | Neuro *oldinput = oldn->getInput(ni, w); |
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| 87 | SString info = n->getInputInfo(ni); |
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| 88 | n->addInput(getNeuro(oldinput->refno), w, &info); |
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[109] | 89 | } |
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| 90 | } |
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[732] | 91 | updateRefno(); |
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| 92 | if (using_checkpoints) |
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[896] | 93 | for (vector<Model *>::const_iterator it = mod.checkpoints.begin(); it != mod.checkpoints.end(); it++) |
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[732] | 94 | { |
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[896] | 95 | Model *m = *it; |
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| 96 | Model *n = new Model(*m, m->autobuildmaps, false, true); |
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| 97 | checkpoints.push_back(n); |
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[732] | 98 | } |
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[109] | 99 | } |
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| 100 | |
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| 101 | |
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[972] | 102 | Model::Model(const Geno &src, ShapeType st, bool buildmaps, bool _using_checkpoints, bool _is_checkpoint) |
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[109] | 103 | :autobuildmaps(buildmaps) |
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[522] | 104 | { |
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[972] | 105 | init(src, st, _using_checkpoints, _is_checkpoint); |
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[522] | 106 | } |
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[109] | 107 | |
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| 108 | void Model::operator=(const Model &mod) |
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| 109 | { |
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[522] | 110 | clear(); |
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[732] | 111 | open(mod.isUsingCheckpoints(), mod.isCheckpoint()); |
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[522] | 112 | internalCopy(mod); |
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| 113 | buildstatus = mod.buildstatus; |
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[109] | 114 | } |
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| 115 | |
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[732] | 116 | Model::Model(const Model &mod, bool buildmaps, bool _using_checkpoints, bool _is_checkpoint) |
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[109] | 117 | :autobuildmaps(buildmaps) |
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| 118 | { |
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[999] | 119 | init(mod.declared_shapetype); |
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[732] | 120 | open(_using_checkpoints, _is_checkpoint); |
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[522] | 121 | internalCopy(mod); |
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[732] | 122 | if (is_checkpoint) |
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| 123 | close(); |
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| 124 | else |
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| 125 | buildstatus = mod.buildstatus; |
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| 126 | if (mod.map) |
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| 127 | map = new MultiMap(*mod.map); |
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| 128 | if (mod.f0map) |
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| 129 | f0map = new MultiMap(*mod.f0map); |
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[109] | 130 | } |
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| 131 | |
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[972] | 132 | void Model::init(const Geno &src, ShapeType sh, bool _using_checkpoints, bool _is_checkpoint) |
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[109] | 133 | { |
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[972] | 134 | init(sh); |
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[732] | 135 | using_checkpoints = _using_checkpoints; |
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| 136 | is_checkpoint = _is_checkpoint; |
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[522] | 137 | modelfromgenotype = 1; |
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| 138 | geno = src; |
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| 139 | build(); |
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[109] | 140 | } |
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| 141 | |
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| 142 | void Model::resetAllDelta() |
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| 143 | { |
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[522] | 144 | for (int i = 0; i < getJointCount(); i++) |
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| 145 | getJoint(i)->resetDelta(); |
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[109] | 146 | } |
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| 147 | |
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| 148 | void Model::useAllDelta(bool yesno) |
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| 149 | { |
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[522] | 150 | for (int i = 0; i < getJointCount(); i++) |
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| 151 | getJoint(i)->useDelta(yesno); |
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[109] | 152 | } |
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| 153 | |
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| 154 | Model::~Model() |
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| 155 | { |
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[522] | 156 | delmodel_list.action((intptr_t)this); |
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| 157 | clear(); |
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[109] | 158 | } |
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| 159 | |
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| 160 | void Model::clear() |
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| 161 | { |
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[896] | 162 | FOREACH(Part *, p, parts) |
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[522] | 163 | delete p; |
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[896] | 164 | FOREACH(Joint *, j, joints) |
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[522] | 165 | delete j; |
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[896] | 166 | FOREACH(Neuro *, n, neurons) |
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[522] | 167 | delete n; |
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| 168 | parts.clear(); joints.clear(); neurons.clear(); |
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| 169 | delMap(); |
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| 170 | delF0Map(); |
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[999] | 171 | init(declared_shapetype); |
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[522] | 172 | geno = Geno(); |
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| 173 | f0geno = Geno(); |
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[896] | 174 | for (vector<Model *>::iterator it = checkpoints.begin(); it != checkpoints.end(); it++) |
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[732] | 175 | delete *it; |
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| 176 | checkpoints.clear(); |
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[109] | 177 | } |
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| 178 | |
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| 179 | Part *Model::addPart(Part *p) |
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| 180 | { |
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[522] | 181 | p->owner = this; |
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| 182 | p->refno = parts.size(); |
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| 183 | parts += p; |
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| 184 | return p; |
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[109] | 185 | } |
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| 186 | |
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| 187 | Joint *Model::addJoint(Joint *j) |
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| 188 | { |
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[522] | 189 | j->owner = this; |
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| 190 | j->refno = joints.size(); |
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| 191 | joints += j; |
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| 192 | return j; |
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[109] | 193 | } |
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| 194 | |
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| 195 | Neuro *Model::addNeuro(Neuro *n) |
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| 196 | { |
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[522] | 197 | n->owner = this; |
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| 198 | n->refno = neurons.size(); |
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| 199 | neurons += n; |
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| 200 | return n; |
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[109] | 201 | } |
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| 202 | |
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| 203 | void Model::removeNeuros(SList &nlist) |
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| 204 | { |
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[896] | 205 | FOREACH(Neuro *, nu, nlist) |
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[109] | 206 | { |
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[522] | 207 | int i = findNeuro(nu); |
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| 208 | if (i >= 0) removeNeuro(i); |
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[109] | 209 | } |
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| 210 | } |
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| 211 | |
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[522] | 212 | void Model::removePart(int partindex, int removeattachedjoints, int removeattachedneurons) |
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[109] | 213 | { |
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[522] | 214 | Part *p = getPart(partindex); |
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| 215 | if (removeattachedjoints) |
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[109] | 216 | { |
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[522] | 217 | SList jlist; |
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| 218 | findJoints(jlist, p); |
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[896] | 219 | FOREACH(Joint *, j, jlist) |
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[109] | 220 | { |
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[522] | 221 | int i = findJoint(j); |
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| 222 | if (i >= 0) removeJoint(i, removeattachedneurons); |
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[109] | 223 | } |
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| 224 | } |
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[522] | 225 | if (removeattachedneurons) |
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[109] | 226 | { |
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[522] | 227 | SList nlist; |
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| 228 | findNeuros(nlist, 0, p); |
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| 229 | removeNeuros(nlist); |
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[109] | 230 | } |
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[522] | 231 | parts -= partindex; |
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| 232 | delete p; |
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[109] | 233 | } |
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| 234 | |
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[522] | 235 | void Model::removeJoint(int jointindex, int removeattachedneurons) |
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[109] | 236 | { |
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[522] | 237 | Joint *j = getJoint(jointindex); |
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| 238 | if (removeattachedneurons) |
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[109] | 239 | { |
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[522] | 240 | SList nlist; |
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| 241 | findNeuros(nlist, 0, 0, j); |
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| 242 | removeNeuros(nlist); |
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[109] | 243 | } |
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[522] | 244 | joints -= jointindex; |
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| 245 | delete j; |
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[109] | 246 | } |
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| 247 | |
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[522] | 248 | void Model::removeNeuro(int neuroindex, bool removereferences) |
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[109] | 249 | { |
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[896] | 250 | Neuro *thisN = getNeuro(neuroindex); |
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[109] | 251 | |
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[522] | 252 | if (removereferences) |
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[109] | 253 | { |
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[896] | 254 | Neuro *n; |
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[522] | 255 | // remove all references to thisN |
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[896] | 256 | for (int i = 0; n = (Neuro *)neurons(i); i++) |
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[109] | 257 | { |
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[522] | 258 | Neuro *inp; |
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| 259 | for (int j = 0; inp = n->getInput(j); j++) |
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| 260 | if (inp == thisN) |
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[109] | 261 | { |
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[896] | 262 | n->removeInput(j); |
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| 263 | j--; |
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[109] | 264 | } |
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| 265 | } |
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| 266 | } |
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| 267 | |
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[522] | 268 | neurons -= neuroindex; |
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| 269 | delete thisN; |
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[109] | 270 | } |
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| 271 | |
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[896] | 272 | MultiMap &Model::getMap() |
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[109] | 273 | { |
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[522] | 274 | if (!map) map = new MultiMap(); |
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| 275 | return *map; |
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[109] | 276 | } |
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| 277 | |
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| 278 | void Model::delMap() |
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| 279 | { |
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[522] | 280 | if (map) { delete map; map = 0; } |
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[109] | 281 | } |
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| 282 | void Model::delF0Map() |
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| 283 | { |
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[522] | 284 | if (f0map) { delete f0map; f0map = 0; } |
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[109] | 285 | } |
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| 286 | |
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[896] | 287 | void Model::makeGenToGenMap(MultiMap &result, const MultiMap &gen1tomodel, const MultiMap &gen2tomodel) |
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[109] | 288 | { |
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[522] | 289 | result.clear(); |
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| 290 | MultiMap m; |
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| 291 | m.addReversed(gen2tomodel); |
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| 292 | result.addCombined(gen1tomodel, m); |
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[109] | 293 | } |
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| 294 | |
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[896] | 295 | void Model::getCurrentToF0Map(MultiMap &result) |
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[109] | 296 | { |
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[522] | 297 | result.clear(); |
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| 298 | if (!map) return; |
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[896] | 299 | const MultiMap &f0m = getF0Map(); |
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[522] | 300 | makeGenToGenMap(result, *map, f0m); |
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[109] | 301 | } |
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| 302 | |
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| 303 | void Model::rebuild(bool buildm) |
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| 304 | { |
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[522] | 305 | autobuildmaps = buildm; |
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| 306 | clear(); |
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| 307 | build(); |
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[109] | 308 | } |
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| 309 | |
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| 310 | void Model::initMap() |
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| 311 | { |
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[522] | 312 | if (!map) map = new MultiMap(); |
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| 313 | else map->clear(); |
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[109] | 314 | } |
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| 315 | |
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| 316 | void Model::initF0Map() |
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| 317 | { |
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[522] | 318 | if (!f0map) f0map = new MultiMap(); |
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| 319 | else f0map->clear(); |
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[109] | 320 | } |
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| 321 | |
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[896] | 322 | Model::ItemType Model::itemTypeFromLinePrefix(const char *line) |
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[726] | 323 | { |
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[896] | 324 | struct PrefixAndItem { const char *prefix; ItemType type; }; |
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[732] | 325 | static const PrefixAndItem types[] = { { "m:", ModelType }, { "p:", PartType }, { "j:", JointType }, { "n:", NeuronType }, { "c:", NeuronConnectionType }, { F0_CHECKPOINT_LINE, CheckpointType }, { NULL } }; |
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| 326 | for (const PrefixAndItem *t = types; t->prefix != NULL; t++) |
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[726] | 327 | { |
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[896] | 328 | const char *in = line; |
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| 329 | const char *pattern = t->prefix; |
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[732] | 330 | for (; *in == *pattern; in++, pattern++) |
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| 331 | if (*pattern == ':') |
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| 332 | return t->type; |
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[726] | 333 | } |
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[732] | 334 | return UnknownType; |
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[726] | 335 | } |
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| 336 | |
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[109] | 337 | void Model::build() |
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| 338 | { |
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[522] | 339 | f0errorposition = -1; |
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| 340 | f0warnposition = -1; |
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| 341 | MultiMap *convmap = autobuildmaps ? new MultiMap() : NULL; |
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[999] | 342 | if (declared_shapetype == SHAPETYPE_UNKNOWN) |
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[972] | 343 | f0geno = geno.getConverted(Geno::F0_FORMAT_LIST, convmap, using_checkpoints); |
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| 344 | else |
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[999] | 345 | f0geno = geno.getConverted(genoFormatForShapeType(declared_shapetype), convmap, using_checkpoints); |
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[522] | 346 | f0genoknown = 1; |
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| 347 | if (f0geno.isInvalid()) |
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[109] | 348 | { |
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[522] | 349 | buildstatus = invalid; |
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| 350 | if (convmap) delete convmap; |
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| 351 | return; |
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[109] | 352 | } |
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[999] | 353 | if (declared_shapetype == SHAPETYPE_UNKNOWN) |
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[988] | 354 | declareShapeType(shapeTypeForGenoFormat(f0geno.getFormat())); |
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[534] | 355 | SString f0txt = f0geno.getGenes(); |
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[522] | 356 | buildstatus = building; // was: open(); |
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| 357 | if (autobuildmaps) |
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[109] | 358 | { |
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[522] | 359 | partmappingchanged = 0; |
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| 360 | initMap(); |
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| 361 | initF0Map(); |
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[109] | 362 | } |
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[522] | 363 | int pos = 0, lnum = 1, lastpos = 0; |
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| 364 | SString line; |
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| 365 | MultiRange frommap; |
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| 366 | LoggerToMemory mh(LoggerBase::Enable | LoggerBase::DontBlock); |
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[732] | 367 | Model *current_model = this; |
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[522] | 368 | for (; f0txt.getNextToken(pos, line, '\n'); lnum++) |
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[109] | 369 | { |
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[896] | 370 | const char *line_ptr = line.c_str(); |
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[726] | 371 | for (; *line_ptr; line_ptr++) |
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| 372 | if (!strchr(" \r\t", *line_ptr)) break; |
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| 373 | if (*line_ptr == '#') continue; |
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| 374 | if (!*line_ptr) continue; |
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| 375 | |
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[896] | 376 | const char *colon = strchr(line_ptr, ':'); |
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[732] | 377 | ItemType type = UnknownType; |
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[726] | 378 | SString excluding_prefix; |
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[732] | 379 | if (colon != NULL) |
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| 380 | { |
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[726] | 381 | colon++; |
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[732] | 382 | type = itemTypeFromLinePrefix(line_ptr); |
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[726] | 383 | for (; *colon; colon++) |
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| 384 | if (!strchr(" \r\t", *colon)) break; |
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[732] | 385 | excluding_prefix = colon; |
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| 386 | } |
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| 387 | |
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[522] | 388 | if (autobuildmaps) |
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[109] | 389 | { |
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[522] | 390 | frommap.clear(); |
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| 391 | frommap.add(lastpos, pos - 1); |
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[109] | 392 | } |
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[522] | 393 | mh.reset(); |
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[732] | 394 | if (type == CheckpointType) |
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[109] | 395 | { |
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[732] | 396 | current_model->close(); |
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| 397 | current_model = new Model; |
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| 398 | current_model->open(false, true); |
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| 399 | checkpoints.push_back(current_model); |
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| 400 | } |
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| 401 | else if (current_model->addFromString(type, excluding_prefix, lnum, autobuildmaps ? (&frommap) : 0) == -1) |
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| 402 | { |
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[522] | 403 | buildstatus = invalid; |
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| 404 | f0errorposition = lastpos; |
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| 405 | if (convmap) delete convmap; |
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| 406 | return; |
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[109] | 407 | } |
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[522] | 408 | if (mh.getWarningCount()) |
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| 409 | { |
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| 410 | if (f0warnposition < 0) f0warnposition = lastpos; |
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| 411 | } |
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| 412 | lastpos = pos; |
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[109] | 413 | } |
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[522] | 414 | mh.disable(); |
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[732] | 415 | current_model->close(); |
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[522] | 416 | if (convmap) |
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[109] | 417 | { |
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[522] | 418 | *f0map = *map; |
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[975] | 419 | if (!Geno::formatIsOneOf(geno.getFormat(), Geno::F0_FORMAT_LIST)) |
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[109] | 420 | { |
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[522] | 421 | MultiMap tmp; |
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| 422 | tmp.addCombined(*convmap, getMap()); |
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| 423 | *map = tmp; |
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[109] | 424 | } |
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[522] | 425 | delete convmap; |
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[109] | 426 | } |
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| 427 | } |
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| 428 | |
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[896] | 429 | const MultiMap &Model::getF0Map() |
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[109] | 430 | { |
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[522] | 431 | if (!f0map) |
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[109] | 432 | { |
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[522] | 433 | f0map = new MultiMap(); |
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| 434 | makeGeno(f0geno, f0map); |
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| 435 | f0genoknown = 1; |
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[109] | 436 | } |
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[522] | 437 | return *f0map; |
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[109] | 438 | } |
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| 439 | |
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| 440 | Geno Model::rawGeno() |
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| 441 | { |
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[522] | 442 | Geno tmpgen; |
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| 443 | makeGeno(tmpgen); |
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| 444 | return tmpgen; |
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[109] | 445 | } |
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| 446 | |
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[522] | 447 | void Model::makeGeno(Geno &g, MultiMap *map, bool handle_defaults) |
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[109] | 448 | { |
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[522] | 449 | if ((buildstatus != valid) && (buildstatus != building)) |
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[109] | 450 | { |
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[988] | 451 | g = Geno("", Geno::FORMAT_INVALID, "", "invalid model"); |
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[522] | 452 | return; |
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[109] | 453 | } |
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| 454 | |
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[522] | 455 | SString gen; |
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[109] | 456 | |
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[522] | 457 | Param modelparam(f0_model_paramtab); |
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| 458 | Param partparam(f0_part_paramtab); |
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| 459 | Param jointparam(f0_joint_paramtab); |
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| 460 | Param neuroparam(f0_neuro_paramtab); |
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| 461 | Param connparam(f0_neuroconn_paramtab); |
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[109] | 462 | |
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[522] | 463 | static Part defaultpart; |
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| 464 | static Joint defaultjoint; |
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| 465 | static Neuro defaultneuro; |
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| 466 | static Model defaultmodel; |
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| 467 | static NeuroConn defaultconn; |
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| 468 | //static NeuroItem defaultneuroitem; |
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[109] | 469 | |
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[522] | 470 | Part *p; |
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| 471 | Joint *j; |
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| 472 | Neuro *n; |
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| 473 | int i; |
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| 474 | int len; |
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| 475 | int a, b; |
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| 476 | //NeuroItem *ni; |
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[109] | 477 | |
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[522] | 478 | SString mod_props; |
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| 479 | modelparam.select(this); |
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[720] | 480 | modelparam.saveSingleLine(mod_props, handle_defaults ? &defaultmodel : NULL, true, !handle_defaults); |
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[972] | 481 | if (mod_props.length() > 1) //are there any non-default values? ("\n" is empty) |
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[109] | 482 | { |
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[522] | 483 | gen += "m:"; |
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| 484 | gen += mod_props; |
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[109] | 485 | } |
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| 486 | |
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[896] | 487 | for (i = 0; p = (Part *)parts(i); i++) |
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[109] | 488 | { |
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[522] | 489 | partparam.select(p); |
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[972] | 490 | len = gen.length(); |
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[522] | 491 | gen += "p:"; |
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[720] | 492 | partparam.saveSingleLine(gen, handle_defaults ? &defaultpart : NULL, true, !handle_defaults); |
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[522] | 493 | if (map) |
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[972] | 494 | map->add(len, gen.length() - 1, partToMap(i)); |
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[109] | 495 | } |
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[896] | 496 | for (i = 0; j = (Joint *)joints(i); i++) |
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[109] | 497 | { |
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[522] | 498 | jointparam.select(j); |
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[972] | 499 | len = gen.length(); |
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[522] | 500 | jointparam.setParamTab(j->usedelta ? f0_joint_paramtab : f0_nodeltajoint_paramtab); |
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| 501 | gen += "j:"; |
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[720] | 502 | jointparam.saveSingleLine(gen, handle_defaults ? &defaultjoint : NULL, true, !handle_defaults); |
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[522] | 503 | if (map) |
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[972] | 504 | map->add(len, gen.length() - 1, jointToMap(i)); |
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[109] | 505 | } |
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[896] | 506 | for (i = 0; n = (Neuro *)neurons(i); i++) |
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[109] | 507 | { |
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[522] | 508 | neuroparam.select(n); |
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[972] | 509 | len = gen.length(); |
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[522] | 510 | gen += "n:"; |
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[720] | 511 | neuroparam.saveSingleLine(gen, handle_defaults ? &defaultneuro : NULL, true, !handle_defaults); |
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[522] | 512 | if (map) |
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[972] | 513 | map->add(len, gen.length() - 1, neuroToMap(i)); |
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[109] | 514 | } |
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[522] | 515 | for (a = 0; a < neurons.size(); a++) |
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[109] | 516 | { // inputs |
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[896] | 517 | n = (Neuro *)neurons(a); |
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[522] | 518 | // if ((n->getInputCount()==1)&&(n->getInput(0).refno <= n->refno)) |
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| 519 | // continue; // already done with Neuro::conn_refno |
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[109] | 520 | |
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[522] | 521 | for (b = 0; b < n->getInputCount(); b++) |
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[109] | 522 | { |
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[522] | 523 | double w; |
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| 524 | NeuroConn nc; |
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[896] | 525 | Neuro *n2 = n->getInput(b, w); |
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[522] | 526 | // if (((n2.parentcount==1)&&(n2.parent)&&(n2.parent->refno < n2.refno)) ^ |
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| 527 | // (n2.neuro_refno>=0)) |
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| 528 | // printf("!!!! bad Neuro::neuro_refno ?!\n"); |
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[109] | 529 | |
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[522] | 530 | // if ((n2.parentcount==1)&&(n2.parent)&&(n2.parent->refno < n2.refno)) |
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| 531 | // if (n2.neuro_refno>=0) |
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| 532 | // continue; // already done with Neuro::neuro_refno |
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[109] | 533 | |
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[522] | 534 | nc.n1_refno = n->refno; nc.n2_refno = n2->refno; |
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| 535 | nc.weight = w; |
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| 536 | SString **s = n->inputInfo(b); |
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| 537 | if ((s) && (*s)) |
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| 538 | nc.info = **s; |
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| 539 | connparam.select(&nc); |
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[972] | 540 | len = gen.length(); |
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[522] | 541 | gen += "c:"; |
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[720] | 542 | connparam.saveSingleLine(gen, handle_defaults ? &defaultconn : NULL, true, !handle_defaults); |
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[522] | 543 | if (map) |
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[972] | 544 | map->add(len, gen.length() - 1, neuroToMap(n->refno)); |
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[109] | 545 | } |
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| 546 | } |
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[732] | 547 | |
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[896] | 548 | for (vector<Model *>::const_iterator it = checkpoints.begin(); it != checkpoints.end(); it++) |
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[732] | 549 | { |
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| 550 | Geno g = (*it)->getF0Geno(); |
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| 551 | gen += F0_CHECKPOINT_LINE "\n"; |
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| 552 | gen += g.getGenes(); |
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| 553 | } |
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| 554 | |
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[972] | 555 | g = Geno(gen.c_str(), genoFormatForShapeType(getShapeType()), "", ""); |
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[109] | 556 | } |
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| 557 | |
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[972] | 558 | SString Model::genoFormatForShapeType(ShapeType st) |
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| 559 | { |
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| 560 | switch (st) |
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| 561 | { |
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[999] | 562 | case SHAPETYPE_BALL_AND_STICK: |
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[972] | 563 | return "0"; |
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[999] | 564 | case SHAPETYPE_SOLIDS: |
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[972] | 565 | return "0s"; |
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| 566 | default: |
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[988] | 567 | return Geno::FORMAT_INVALID; |
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[972] | 568 | } |
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| 569 | } |
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| 570 | |
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| 571 | Model::ShapeType Model::shapeTypeForGenoFormat(const SString& format) |
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| 572 | { |
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| 573 | if (format == "0") |
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[999] | 574 | return SHAPETYPE_BALL_AND_STICK; |
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[972] | 575 | else if (format == "0s") |
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[999] | 576 | return SHAPETYPE_SOLIDS; |
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[972] | 577 | else |
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[999] | 578 | return SHAPETYPE_UNKNOWN; |
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[972] | 579 | |
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| 580 | } |
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| 581 | |
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| 582 | const char* Model::getShapeTypeName(ShapeType sh) |
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| 583 | { |
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| 584 | switch (sh) |
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| 585 | { |
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[999] | 586 | case SHAPETYPE_BALL_AND_STICK: return "ball-and-stick"; |
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| 587 | case SHAPETYPE_SOLIDS: return "solid shapes"; |
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| 588 | case SHAPETYPE_UNKNOWN: return "unknown"; |
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[972] | 589 | |
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[999] | 590 | case SHAPETYPE_ILLEGAL: |
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[972] | 591 | default: |
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| 592 | return "illegal"; |
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| 593 | } |
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| 594 | } |
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| 595 | |
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[109] | 596 | ////////////// |
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| 597 | |
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[732] | 598 | void Model::open(bool _using_checkpoints, bool _is_checkpoint) |
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[109] | 599 | { |
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[522] | 600 | if (buildstatus == building) return; |
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[732] | 601 | using_checkpoints = _using_checkpoints; |
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| 602 | is_checkpoint = _is_checkpoint; |
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[522] | 603 | buildstatus = building; |
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| 604 | modelfromgenotype = 0; |
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| 605 | partmappingchanged = 0; |
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| 606 | f0genoknown = 0; |
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| 607 | delMap(); |
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[109] | 608 | } |
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| 609 | |
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[732] | 610 | int Model::getCheckpointCount() |
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| 611 | { |
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| 612 | return checkpoints.size(); |
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| 613 | } |
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| 614 | |
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[896] | 615 | Model *Model::getCheckpoint(int i) |
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[732] | 616 | { |
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| 617 | return checkpoints[i]; |
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| 618 | } |
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| 619 | |
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[109] | 620 | void Model::checkpoint() |
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[732] | 621 | { |
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| 622 | if (!using_checkpoints) return; |
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| 623 | updateRefno(); |
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| 624 | Model *m = new Model(*this, false, false, true); |
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| 625 | checkpoints.push_back(m); |
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| 626 | } |
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[109] | 627 | |
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[896] | 628 | void Model::setGeno(const Geno &newgeno) |
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[109] | 629 | { |
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[522] | 630 | geno = newgeno; |
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[109] | 631 | } |
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| 632 | |
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| 633 | void Model::clearMap() |
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| 634 | { |
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[522] | 635 | Part *p; Joint *j; Neuro *n; |
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| 636 | int i; |
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| 637 | delMap(); |
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| 638 | delF0Map(); |
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[896] | 639 | for (i = 0; p = (Part *)parts(i); i++) |
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[522] | 640 | p->clearMapping(); |
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[896] | 641 | for (i = 0; j = (Joint *)joints(i); i++) |
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[522] | 642 | j->clearMapping(); |
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[896] | 643 | for (i = 0; n = (Neuro *)neurons(i); i++) |
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[522] | 644 | n->clearMapping(); |
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[109] | 645 | } |
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| 646 | |
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[610] | 647 | int Model::close(bool building_live_model) |
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[109] | 648 | { |
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[522] | 649 | if (buildstatus != building) |
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| 650 | logPrintf("Model", "close", LOG_WARN, "Unexpected close() - no open()"); |
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[732] | 651 | if (internalcheck(is_checkpoint ? CHECKPOINT_CHECK : (building_live_model ? LIVE_CHECK : FINAL_CHECK)) > 0) |
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[109] | 652 | { |
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[522] | 653 | buildstatus = valid; |
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[109] | 654 | |
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[522] | 655 | if (partmappingchanged) |
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[109] | 656 | { |
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[522] | 657 | getMap(); |
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| 658 | Part *p; Joint *j; Neuro *n; |
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| 659 | int i; |
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[896] | 660 | for (i = 0; p = (Part *)parts(i); i++) |
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[522] | 661 | if (p->getMapping()) |
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| 662 | map->add(*p->getMapping(), partToMap(i)); |
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[896] | 663 | for (i = 0; j = (Joint *)joints(i); i++) |
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[522] | 664 | if (j->getMapping()) |
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| 665 | map->add(*j->getMapping(), jointToMap(i)); |
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[896] | 666 | for (i = 0; n = (Neuro *)neurons(i); i++) |
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[522] | 667 | if (n->getMapping()) |
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| 668 | map->add(*n->getMapping(), neuroToMap(i)); |
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[109] | 669 | } |
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| 670 | } |
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[522] | 671 | else |
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| 672 | buildstatus = invalid; |
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[109] | 673 | |
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[522] | 674 | return (buildstatus == valid); |
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[109] | 675 | } |
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| 676 | |
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| 677 | int Model::validate() |
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| 678 | { |
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[610] | 679 | return internalcheck(EDITING_CHECK); |
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[109] | 680 | } |
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| 681 | |
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[896] | 682 | Pt3D Model::whereDelta(const Part &start, const Pt3D &rot, const Pt3D &delta) |
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[109] | 683 | { |
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[522] | 684 | Orient roto; |
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| 685 | roto = rot; |
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| 686 | Orient o; |
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| 687 | roto.transform(o, start.o); |
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| 688 | //o.x=start.o/roto.x; |
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| 689 | //o.y=start.o/roto.y; |
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| 690 | //o.z=start.o/roto.z; |
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| 691 | return o.transform(delta) + start.p; |
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[109] | 692 | } |
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| 693 | |
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[896] | 694 | int Model::addFromString(ItemType item_type, const SString &singleline, const MultiRange *srcrange) |
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[109] | 695 | { |
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[732] | 696 | return addFromString(item_type, singleline, 0, srcrange); |
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[495] | 697 | } |
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| 698 | |
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[896] | 699 | int Model::addFromString(ItemType item_type, const SString &singleline, int line_num, const MultiRange *srcrange) |
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[495] | 700 | { |
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[522] | 701 | SString error_message; |
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[726] | 702 | int result = addFromStringNoLog(item_type, singleline, error_message, srcrange); |
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[522] | 703 | if (result < 0) |
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[495] | 704 | { |
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[972] | 705 | if (error_message.length() == 0) // generic error when no detailed message is available |
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[522] | 706 | error_message = "Invalid f0 code"; |
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[896] | 707 | if (line_num > 0) |
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[522] | 708 | error_message += SString::sprintf(", line #%d", line_num); |
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| 709 | error_message += nameForErrors(); |
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| 710 | logPrintf("Model", "build", LOG_ERROR, "%s", error_message.c_str()); |
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[495] | 711 | } |
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[522] | 712 | return result; |
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[495] | 713 | } |
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| 714 | |
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[896] | 715 | int Model::addFromStringNoLog(ItemType item_type, const SString &line, SString &error_message, const MultiRange *srcrange) |
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[495] | 716 | { |
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[522] | 717 | error_message = SString::empty(); |
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[720] | 718 | ParamInterface::LoadOptions opts; |
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[732] | 719 | switch (item_type) |
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| 720 | { |
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| 721 | case PartType: |
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| 722 | { |
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[522] | 723 | Param partparam(f0_part_paramtab); |
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| 724 | Part *p = new Part(); |
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| 725 | partparam.select(p); |
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[720] | 726 | partparam.load(ParamInterface::FormatSingleLine, line, &opts); |
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| 727 | if (opts.parse_failed) { delete p; error_message = "Invalid 'p:'"; return -1; } |
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[522] | 728 | p->o.rotate(p->rot); |
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| 729 | parts += p; |
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| 730 | p->owner = this; |
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| 731 | if (srcrange) p->setMapping(*srcrange); |
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| 732 | return getPartCount() - 1; |
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[732] | 733 | } |
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[726] | 734 | |
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[732] | 735 | case ModelType: |
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| 736 | { |
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[522] | 737 | Param modelparam(f0_model_paramtab); |
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| 738 | modelparam.select(this); |
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[720] | 739 | modelparam.load(ParamInterface::FormatSingleLine, line, &opts); |
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| 740 | if (opts.parse_failed) { error_message = "Invalid 'm:'"; return -1; } |
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[522] | 741 | return 0; |
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[732] | 742 | } |
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[726] | 743 | |
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[732] | 744 | case JointType: |
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| 745 | { |
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[522] | 746 | Param jointparam(f0_joint_paramtab); |
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| 747 | Joint *j = new Joint(); |
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| 748 | jointparam.select(j); |
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| 749 | j->owner = this; |
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[720] | 750 | jointparam.load(ParamInterface::FormatSingleLine, line, &opts); |
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| 751 | if (opts.parse_failed) { delete j; error_message = "Invalid 'j:'"; return -1; } |
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[522] | 752 | bool p1_ok = false, p2_ok = false; |
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| 753 | if ((p1_ok = ((j->p1_refno >= 0) && (j->p1_refno < getPartCount()))) && |
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| 754 | (p2_ok = ((j->p2_refno >= 0) && (j->p2_refno < getPartCount())))) |
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[109] | 755 | { |
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[522] | 756 | addJoint(j); |
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| 757 | if ((j->d.x != JOINT_DELTA_MARKER) || (j->d.y != JOINT_DELTA_MARKER) || (j->d.z != JOINT_DELTA_MARKER)) |
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[114] | 758 | { |
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[522] | 759 | j->useDelta(1); |
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| 760 | j->resetDeltaMarkers(); |
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[114] | 761 | } |
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[522] | 762 | j->attachToParts(j->p1_refno, j->p2_refno); |
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| 763 | if (srcrange) j->setMapping(*srcrange); |
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| 764 | return j->refno; |
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[109] | 765 | } |
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[522] | 766 | else |
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[109] | 767 | { |
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[522] | 768 | error_message = SString::sprintf("Invalid reference to Part #%d", p1_ok ? j->p1_refno : j->p2_refno); |
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| 769 | delete j; |
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| 770 | return -1; |
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[109] | 771 | } |
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[732] | 772 | } |
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[726] | 773 | |
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[732] | 774 | case NeuronType: |
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| 775 | { |
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[522] | 776 | Param neuroparam(f0_neuro_paramtab); |
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| 777 | Neuro *nu = new Neuro(); |
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| 778 | neuroparam.select(nu); |
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[720] | 779 | neuroparam.load(ParamInterface::FormatSingleLine, line, &opts); |
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| 780 | if (opts.parse_failed) { delete nu; error_message = "Invalid 'n:'"; return -1; } |
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[109] | 781 | { |
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[522] | 782 | // default class for unparented units: standard neuron |
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[972] | 783 | if (nu->getClassName().length() == 0) nu->setClassName("N"); |
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[109] | 784 | } |
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[522] | 785 | /* |
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| 786 | if (nu->conn_refno>=0) // input specified... |
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[109] | 787 | { |
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[522] | 788 | if (nu->conn_refno >= getNeuroCount()) // and it's illegal |
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| 789 | { |
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[109] | 790 | delete nu; |
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| 791 | return -1; |
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| 792 | } |
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[522] | 793 | Neuro *inputNU=getNeuro(nu->conn_refno); |
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| 794 | nu->addInput(inputNU,nu->weight); |
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| 795 | } |
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| 796 | */ |
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| 797 | nu->owner = this; |
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| 798 | // attach to part/joint |
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| 799 | if (nu->part_refno >= 0) |
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[653] | 800 | { |
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| 801 | nu->attachToPart(nu->part_refno); |
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| 802 | if (nu->part == NULL) |
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[644] | 803 | { |
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[653] | 804 | error_message = SString::sprintf("Invalid reference to Part #%d", nu->part_refno); delete nu; return -1; |
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[644] | 805 | } |
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[653] | 806 | } |
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[522] | 807 | if (nu->joint_refno >= 0) |
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[653] | 808 | { |
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| 809 | nu->attachToJoint(nu->joint_refno); |
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| 810 | if (nu->joint == NULL) |
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[644] | 811 | { |
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[653] | 812 | error_message = SString::sprintf("Invalid reference to Joint #%d", nu->joint_refno); delete nu; return -1; |
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[644] | 813 | } |
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[653] | 814 | } |
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[522] | 815 | if (srcrange) nu->setMapping(*srcrange); |
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| 816 | // todo: check part/joint ref# |
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[109] | 817 | { |
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[522] | 818 | neurons += nu; |
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| 819 | return neurons.size() - 1; |
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[109] | 820 | } |
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[732] | 821 | } |
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[726] | 822 | |
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[732] | 823 | case NeuronConnectionType: |
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| 824 | { |
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[522] | 825 | Param ncparam(f0_neuroconn_paramtab); |
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| 826 | NeuroConn c; |
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| 827 | ncparam.select(&c); |
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[720] | 828 | ncparam.load(ParamInterface::FormatSingleLine, line, &opts); |
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| 829 | if (opts.parse_failed) { error_message = "Invalid 'c:'"; return -1; } |
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[522] | 830 | bool n1_ok = false, n2_ok = false; |
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| 831 | if ((n1_ok = ((c.n1_refno >= 0) && (c.n1_refno < getNeuroCount()))) |
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| 832 | && (n2_ok = ((c.n2_refno >= 0) && (c.n2_refno < getNeuroCount())))) |
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[109] | 833 | { |
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[522] | 834 | Neuro *na = getNeuro(c.n1_refno); |
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| 835 | Neuro *nb = getNeuro(c.n2_refno); |
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| 836 | na->addInput(nb, c.weight, &c.info); |
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| 837 | if (srcrange) |
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| 838 | na->addMapping(*srcrange); |
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| 839 | return 0; |
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[109] | 840 | } |
---|
[522] | 841 | error_message = SString::sprintf("Invalid reference to Neuro #%d", n1_ok ? c.n2_refno : c.n1_refno); |
---|
| 842 | return -1; |
---|
[732] | 843 | } |
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[726] | 844 | |
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[732] | 845 | case CheckpointType: case UnknownType: //handled by addFromString for uniform error handling |
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| 846 | return -1; |
---|
| 847 | } |
---|
[726] | 848 | return -1; |
---|
[109] | 849 | } |
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| 850 | |
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| 851 | |
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| 852 | ///////////// |
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| 853 | |
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[732] | 854 | void Model::updateRefno() |
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[109] | 855 | { |
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[732] | 856 | for (int i = 0; i < parts.size(); i++) |
---|
| 857 | getPart(i)->refno = i; |
---|
| 858 | for (int i = 0; i < joints.size(); i++) |
---|
[109] | 859 | { |
---|
[732] | 860 | Joint *j = getJoint(i); |
---|
| 861 | j->refno = i; |
---|
| 862 | if (j->part1 && j->part2 && (j->part1 != j->part2)) |
---|
| 863 | { |
---|
| 864 | j->p1_refno = j->part1->refno; |
---|
| 865 | j->p2_refno = j->part2->refno; |
---|
| 866 | } |
---|
[109] | 867 | } |
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[732] | 868 | for (int i = 0; i < neurons.size(); i++) |
---|
| 869 | getNeuro(i)->refno = i; |
---|
[109] | 870 | } |
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| 871 | |
---|
| 872 | #define VALIDMINMAX(var,template,field) \ |
---|
| 873 | if (var -> field < getMin ## template () . field) \ |
---|
| 874 | { var->field= getMin ## template () . field; \ |
---|
[495] | 875 | logPrintf("Model","internalCheck",LOG_WARN,# field " too small in " # template " #%d (adjusted)",i);} \ |
---|
[109] | 876 | else if (var -> field > getMax ## template () . field) \ |
---|
| 877 | { var->field= getMax ## template () . field; \ |
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[495] | 878 | logPrintf("Model","internalCheck",LOG_WARN,# field " too big in " # template " #%d (adjusted)",i);} |
---|
[109] | 879 | |
---|
| 880 | #define LINKFLAG 0x8000000 |
---|
| 881 | |
---|
[495] | 882 | SString Model::nameForErrors() const |
---|
| 883 | { |
---|
[972] | 884 | if (geno.getName().length() > 0) |
---|
[522] | 885 | return SString::sprintf(" in '%s'", geno.getName().c_str()); |
---|
| 886 | return SString::empty(); |
---|
[495] | 887 | } |
---|
| 888 | |
---|
[610] | 889 | int Model::internalcheck(CheckType check) |
---|
[109] | 890 | { |
---|
[522] | 891 | Part *p; |
---|
| 892 | Joint *j; |
---|
| 893 | Neuro *n; |
---|
| 894 | int i, k; |
---|
| 895 | int ret = 1; |
---|
[999] | 896 | shapetype = SHAPETYPE_UNKNOWN; |
---|
[732] | 897 | updateRefno(); |
---|
[522] | 898 | if ((parts.size() == 0) && (neurons.size() == 0)) return 0; |
---|
| 899 | if (parts.size() == 0) |
---|
| 900 | size = Pt3D_0; |
---|
| 901 | else |
---|
[109] | 902 | { |
---|
[896] | 903 | Pt3D bbmin = ((Part *)parts(0))->p, bbmax = bbmin; |
---|
[522] | 904 | for (i = 0; i < parts.size(); i++) |
---|
[165] | 905 | { |
---|
[896] | 906 | p = (Part *)parts(i); |
---|
[522] | 907 | p->owner = this; |
---|
[536] | 908 | if (checklevel > 0) |
---|
| 909 | p->mass = 0.0; |
---|
[528] | 910 | //VALIDMINMAX(p,part,mass);//mass is very special |
---|
| 911 | // VALIDMINMAX are managed manually when adding part properties in f0-def! |
---|
| 912 | // (could be made dynamic but not really worth the effort) |
---|
[522] | 913 | VALIDMINMAX(p, Part, size); |
---|
[528] | 914 | VALIDMINMAX(p, Part, scale.x); |
---|
| 915 | VALIDMINMAX(p, Part, scale.y); |
---|
| 916 | VALIDMINMAX(p, Part, scale.z); |
---|
| 917 | VALIDMINMAX(p, Part, hollow); |
---|
[522] | 918 | VALIDMINMAX(p, Part, density); |
---|
| 919 | VALIDMINMAX(p, Part, friction); |
---|
| 920 | VALIDMINMAX(p, Part, ingest); |
---|
| 921 | VALIDMINMAX(p, Part, assim); |
---|
[528] | 922 | VALIDMINMAX(p, Part, vsize); |
---|
| 923 | VALIDMINMAX(p, Part, vcolor.x); |
---|
| 924 | VALIDMINMAX(p, Part, vcolor.y); |
---|
| 925 | VALIDMINMAX(p, Part, vcolor.z); |
---|
[522] | 926 | p->flags &= ~LINKFLAG; // for delta joint cycle detection |
---|
| 927 | if (p->p.x - p->size < bbmin.x) bbmin.x = p->p.x - p->size; |
---|
| 928 | if (p->p.y - p->size < bbmin.y) bbmin.y = p->p.y - p->size; |
---|
| 929 | if (p->p.z - p->size < bbmin.z) bbmin.z = p->p.z - p->size; |
---|
| 930 | if (p->p.x + p->size > bbmax.x) bbmax.x = p->p.x + p->size; |
---|
| 931 | if (p->p.y + p->size > bbmax.y) bbmax.y = p->p.y + p->size; |
---|
| 932 | if (p->p.z + p->size > bbmax.z) bbmax.z = p->p.z + p->size; |
---|
[999] | 933 | if (shapetype == SHAPETYPE_UNKNOWN) |
---|
| 934 | shapetype = (p->shape == Part::SHAPE_BALL) ? SHAPETYPE_BALL_AND_STICK : SHAPETYPE_SOLIDS; |
---|
| 935 | else if (shapetype != SHAPETYPE_ILLEGAL) |
---|
[522] | 936 | { |
---|
[999] | 937 | if ((p->shape == Part::SHAPE_BALL) ^ (shapetype == SHAPETYPE_BALL_AND_STICK)) |
---|
[522] | 938 | { |
---|
[999] | 939 | shapetype = SHAPETYPE_ILLEGAL; |
---|
[544] | 940 | logPrintf("Model", "internalCheck", LOG_WARN, "Inconsistent part shapes (mixed ball-and-stick and solids shape types)%s", nameForErrors().c_str()); |
---|
[522] | 941 | } |
---|
| 942 | } |
---|
[269] | 943 | } |
---|
[522] | 944 | size = bbmax - bbmin; |
---|
| 945 | for (i = 0; i < joints.size(); i++) |
---|
[109] | 946 | { |
---|
[896] | 947 | j = (Joint *)joints(i); |
---|
[528] | 948 | // VALIDMINMAX are managed manually when adding joint properties in f0-def! |
---|
| 949 | // (could be made dynamic but not really worth the effort) |
---|
[522] | 950 | VALIDMINMAX(j, Joint, stamina); |
---|
| 951 | VALIDMINMAX(j, Joint, stif); |
---|
| 952 | VALIDMINMAX(j, Joint, rotstif); |
---|
[528] | 953 | VALIDMINMAX(p, Part, vcolor.x); |
---|
| 954 | VALIDMINMAX(p, Part, vcolor.y); |
---|
| 955 | VALIDMINMAX(p, Part, vcolor.z); |
---|
[522] | 956 | j->refno = i; |
---|
| 957 | j->owner = this; |
---|
| 958 | if (j->part1 && j->part2 && (j->part1 != j->part2)) |
---|
[109] | 959 | { |
---|
[522] | 960 | j->p1_refno = j->part1->refno; |
---|
| 961 | j->p2_refno = j->part2->refno; |
---|
| 962 | if (checklevel > 0) |
---|
[546] | 963 | { |
---|
[536] | 964 | j->part1->mass += 1.0; |
---|
| 965 | j->part2->mass += 1.0; |
---|
[546] | 966 | } |
---|
[522] | 967 | if ((j->usedelta) && ((j->d.x != JOINT_DELTA_MARKER) || (j->d.y != JOINT_DELTA_MARKER) || (j->d.z != JOINT_DELTA_MARKER))) |
---|
| 968 | { // delta positioning -> calc. orient. |
---|
| 969 | if (j->part2->flags & LINKFLAG) |
---|
| 970 | { |
---|
| 971 | ret = 0; |
---|
| 972 | logPrintf("Model", "internalCheck", LOG_ERROR, |
---|
| 973 | "Delta joint cycle detected at Joint #%d%s", |
---|
| 974 | i, nameForErrors().c_str()); |
---|
| 975 | } |
---|
| 976 | j->resetDeltaMarkers(); |
---|
| 977 | j->o = j->rot; |
---|
| 978 | j->part1->o.transform(j->part2->o, j->o); |
---|
| 979 | // j->part2->o.x=j->part1->o/j->o.x; |
---|
| 980 | // j->part2->o.y=j->part1->o/j->o.y; |
---|
| 981 | // j->part2->o.z=j->part1->o/j->o.z; |
---|
| 982 | j->part2->p = j->part2->o.transform(j->d) + j->part1->p; |
---|
| 983 | j->part2->flags |= LINKFLAG; j->part1->flags |= LINKFLAG; // for delta joint cycle detection |
---|
| 984 | } |
---|
| 985 | else |
---|
| 986 | { // abs.positioning -> calc. delta |
---|
[611] | 987 | if (check != EDITING_CHECK) |
---|
[522] | 988 | { |
---|
| 989 | // calc orient delta |
---|
| 990 | // Orient tmpo(j->part2->o); |
---|
| 991 | // tmpo*=j->part1->o; |
---|
| 992 | Orient tmpo; |
---|
| 993 | j->part1->o.revTransform(tmpo, j->part2->o); |
---|
| 994 | tmpo.getAngles(j->rot); |
---|
| 995 | j->o = j->rot; |
---|
| 996 | // calc position delta |
---|
| 997 | Pt3D tmpp(j->part2->p); |
---|
| 998 | tmpp -= j->part1->p; |
---|
| 999 | j->d = j->part2->o.revTransform(tmpp); |
---|
| 1000 | } |
---|
| 1001 | } |
---|
[732] | 1002 | if ((check != LIVE_CHECK) && (check != CHECKPOINT_CHECK)) |
---|
[522] | 1003 | { |
---|
[999] | 1004 | if (j->shape == Joint::SHAPE_STICK) |
---|
[522] | 1005 | { |
---|
| 1006 | if (j->d() > getMaxJoint().d.x) |
---|
| 1007 | { |
---|
| 1008 | ret = 0; |
---|
[610] | 1009 | 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()); |
---|
[522] | 1010 | } |
---|
| 1011 | } |
---|
| 1012 | } |
---|
[109] | 1013 | } |
---|
[522] | 1014 | else |
---|
[109] | 1015 | { |
---|
[522] | 1016 | logPrintf("Model", "internalCheck", LOG_ERROR, "Illegal part references in Joint #%d%s", i, nameForErrors().c_str()); |
---|
| 1017 | ret = 0; |
---|
[109] | 1018 | } |
---|
[999] | 1019 | if (shapetype != SHAPETYPE_ILLEGAL) |
---|
[109] | 1020 | { |
---|
[999] | 1021 | if ((j->shape == Joint::SHAPE_STICK) ^ (shapetype == SHAPETYPE_BALL_AND_STICK)) |
---|
[109] | 1022 | { |
---|
[999] | 1023 | shapetype = SHAPETYPE_ILLEGAL; |
---|
[522] | 1024 | logPrintf("Model", "internalCheck", LOG_WARN, "Inconsistent joint shapes (mixed old and new shapes)%s", nameForErrors().c_str()); |
---|
[109] | 1025 | } |
---|
| 1026 | } |
---|
| 1027 | } |
---|
| 1028 | } |
---|
| 1029 | |
---|
[522] | 1030 | for (i = 0; i < neurons.size(); i++) |
---|
[109] | 1031 | { |
---|
[896] | 1032 | n = (Neuro *)neurons(i); |
---|
[522] | 1033 | n->part_refno = (n->part) ? n->part->refno : -1; |
---|
| 1034 | n->joint_refno = (n->joint) ? n->joint->refno : -1; |
---|
[109] | 1035 | } |
---|
| 1036 | |
---|
[732] | 1037 | if (check != CHECKPOINT_CHECK) |
---|
[109] | 1038 | { |
---|
[732] | 1039 | |
---|
| 1040 | if (parts.size() && (checklevel > 0)) |
---|
[109] | 1041 | { |
---|
[732] | 1042 | for (i = 0; i < parts.size(); i++) |
---|
[109] | 1043 | { |
---|
[896] | 1044 | p = (Part *)parts(i); |
---|
[732] | 1045 | if (p->mass <= 0.001) |
---|
| 1046 | p->mass = 1.0; |
---|
| 1047 | p->flags &= ~LINKFLAG; |
---|
| 1048 | } |
---|
| 1049 | getPart(0)->flags |= LINKFLAG; |
---|
| 1050 | int change = 1; |
---|
| 1051 | while (change) |
---|
| 1052 | { |
---|
| 1053 | change = 0; |
---|
| 1054 | for (i = 0; i < joints.size(); i++) |
---|
[109] | 1055 | { |
---|
[896] | 1056 | j = (Joint *)joints(i); |
---|
| 1057 | if (j->part1->flags & LINKFLAG) |
---|
[109] | 1058 | { |
---|
[896] | 1059 | if (!(j->part2->flags & LINKFLAG)) |
---|
[732] | 1060 | { |
---|
| 1061 | change = 1; |
---|
| 1062 | j->part2->flags |= LINKFLAG; |
---|
| 1063 | } |
---|
[109] | 1064 | } |
---|
[732] | 1065 | else |
---|
[896] | 1066 | if (j->part2->flags & LINKFLAG) |
---|
[732] | 1067 | { |
---|
[896] | 1068 | if (!(j->part1->flags & LINKFLAG)) |
---|
| 1069 | { |
---|
| 1070 | change = 1; |
---|
| 1071 | j->part1->flags |= LINKFLAG; |
---|
| 1072 | } |
---|
[732] | 1073 | } |
---|
[109] | 1074 | } |
---|
| 1075 | } |
---|
[732] | 1076 | for (i = 0; i < parts.size(); i++) |
---|
[109] | 1077 | { |
---|
[896] | 1078 | p = (Part *)parts(i); |
---|
| 1079 | if (!(p->flags & LINKFLAG)) |
---|
[732] | 1080 | { |
---|
| 1081 | logPrintf("Model", "internalCheck", LOG_ERROR, "Not all parts connected (eg. Part #0 and Part #%d)%s", i, nameForErrors().c_str()); |
---|
| 1082 | ret = 0; |
---|
| 1083 | break; |
---|
| 1084 | } |
---|
[109] | 1085 | } |
---|
| 1086 | } |
---|
| 1087 | |
---|
[732] | 1088 | for (i = 0; i < joints.size(); i++) |
---|
[109] | 1089 | { |
---|
[896] | 1090 | j = (Joint *)joints(i); |
---|
[732] | 1091 | if (j->p1_refno == j->p2_refno) |
---|
[109] | 1092 | { |
---|
[732] | 1093 | logPrintf("Model", "internalCheck", LOG_ERROR, "Illegal self connection, Joint #%d%s", i, nameForErrors().c_str()); |
---|
[522] | 1094 | ret = 0; |
---|
| 1095 | break; |
---|
[109] | 1096 | } |
---|
[732] | 1097 | for (k = i + 1; k < joints.size(); k++) |
---|
| 1098 | { |
---|
[896] | 1099 | Joint *j2 = (Joint *)joints(k); |
---|
[732] | 1100 | if (((j->p1_refno == j2->p1_refno) && (j->p2_refno == j2->p2_refno)) |
---|
| 1101 | || ((j->p1_refno == j2->p2_refno) && (j->p2_refno == j2->p1_refno))) |
---|
| 1102 | { |
---|
| 1103 | logPrintf("Model", "internalCheck", LOG_ERROR, "Illegal duplicate Joint #%d and Joint #%d%s", i, k, nameForErrors().c_str()); |
---|
| 1104 | ret = 0; |
---|
| 1105 | break; |
---|
| 1106 | } |
---|
| 1107 | } |
---|
[109] | 1108 | } |
---|
| 1109 | } |
---|
[732] | 1110 | |
---|
[999] | 1111 | if (shapetype == SHAPETYPE_ILLEGAL) |
---|
[522] | 1112 | ret = 0; |
---|
[999] | 1113 | else if ((declared_shapetype != SHAPETYPE_UNKNOWN) && (declared_shapetype != shapetype)) |
---|
[972] | 1114 | { |
---|
[999] | 1115 | logPrintf("Model", "internalCheck", LOG_ERROR, "Model shape type '%s' does not match the declared type '%s'", getShapeTypeName(shapetype), getShapeTypeName(declared_shapetype)); |
---|
[972] | 1116 | ret = 0; |
---|
| 1117 | } |
---|
| 1118 | |
---|
[522] | 1119 | return ret; |
---|
[109] | 1120 | } |
---|
| 1121 | |
---|
| 1122 | ///////////// |
---|
| 1123 | |
---|
| 1124 | int Model::getErrorPosition(bool includingwarnings) |
---|
| 1125 | { |
---|
[522] | 1126 | return includingwarnings ? |
---|
| 1127 | ((f0errorposition >= 0) ? f0errorposition : f0warnposition) |
---|
| 1128 | : |
---|
| 1129 | f0errorposition; |
---|
[109] | 1130 | } |
---|
| 1131 | |
---|
[896] | 1132 | const Geno &Model::getGeno() const |
---|
[109] | 1133 | { |
---|
[522] | 1134 | return geno; |
---|
[109] | 1135 | } |
---|
| 1136 | |
---|
| 1137 | const Geno Model::getF0Geno() |
---|
| 1138 | { |
---|
[522] | 1139 | if (buildstatus == building) |
---|
| 1140 | logPrintf("Model", "getGeno", LOG_WARN, "Model was not completed - missing close()"); |
---|
| 1141 | if (buildstatus != valid) |
---|
| 1142 | return Geno("", '0', "", "invalid"); |
---|
| 1143 | if (!f0genoknown) |
---|
[109] | 1144 | { |
---|
[522] | 1145 | if (autobuildmaps) |
---|
[109] | 1146 | { |
---|
[522] | 1147 | initF0Map(); |
---|
| 1148 | makeGeno(f0geno, f0map); |
---|
[109] | 1149 | } |
---|
[522] | 1150 | else |
---|
[109] | 1151 | { |
---|
[522] | 1152 | delF0Map(); |
---|
| 1153 | makeGeno(f0geno); |
---|
[109] | 1154 | } |
---|
[522] | 1155 | f0genoknown = 1; |
---|
[109] | 1156 | } |
---|
[522] | 1157 | return f0geno; |
---|
[109] | 1158 | } |
---|
| 1159 | |
---|
| 1160 | int Model::getPartCount() const |
---|
| 1161 | { |
---|
[522] | 1162 | return parts.size(); |
---|
[109] | 1163 | } |
---|
| 1164 | |
---|
[896] | 1165 | Part *Model::getPart(int i) const |
---|
[109] | 1166 | { |
---|
[896] | 1167 | return ((Part *)parts(i)); |
---|
[109] | 1168 | } |
---|
| 1169 | |
---|
| 1170 | int Model::getJointCount() const |
---|
| 1171 | { |
---|
[522] | 1172 | return joints.size(); |
---|
[109] | 1173 | } |
---|
| 1174 | |
---|
[896] | 1175 | Joint *Model::getJoint(int i) const |
---|
[109] | 1176 | { |
---|
[896] | 1177 | return ((Joint *)joints(i)); |
---|
[109] | 1178 | } |
---|
| 1179 | |
---|
[896] | 1180 | int Model::findJoints(SList &result, const Part *part) |
---|
[109] | 1181 | { |
---|
[522] | 1182 | Joint *j; |
---|
| 1183 | int n0 = result.size(); |
---|
| 1184 | if (part) |
---|
[896] | 1185 | for (int i = 0; j = (Joint *)joints(i); i++) |
---|
| 1186 | if ((j->part1 == part) || (j->part2 == part)) result += (void *)j; |
---|
[522] | 1187 | return result.size() - n0; |
---|
[109] | 1188 | } |
---|
| 1189 | |
---|
[896] | 1190 | int Model::findNeuro(Neuro *n) |
---|
[522] | 1191 | { |
---|
| 1192 | return neurons.find(n); |
---|
| 1193 | } |
---|
[109] | 1194 | |
---|
[896] | 1195 | int Model::findPart(Part *p) |
---|
[522] | 1196 | { |
---|
| 1197 | return parts.find(p); |
---|
| 1198 | } |
---|
[109] | 1199 | |
---|
[896] | 1200 | int Model::findJoint(Joint *j) |
---|
[522] | 1201 | { |
---|
| 1202 | return joints.find(j); |
---|
| 1203 | } |
---|
[109] | 1204 | |
---|
| 1205 | int Model::findJoint(Part *p1, Part *p2) |
---|
| 1206 | { |
---|
[896] | 1207 | Joint *j; |
---|
[522] | 1208 | for (int i = 0; j = getJoint(i); i++) |
---|
| 1209 | if ((j->part1 == p1) && (j->part2 == p2)) return i; |
---|
| 1210 | return -1; |
---|
[109] | 1211 | } |
---|
| 1212 | |
---|
| 1213 | /////////////////////// |
---|
| 1214 | |
---|
| 1215 | int Model::getNeuroCount() const |
---|
[522] | 1216 | { |
---|
| 1217 | return neurons.size(); |
---|
| 1218 | } |
---|
[109] | 1219 | |
---|
[896] | 1220 | Neuro *Model::getNeuro(int i) const |
---|
[522] | 1221 | { |
---|
[896] | 1222 | return (Neuro *)neurons(i); |
---|
[522] | 1223 | } |
---|
[109] | 1224 | |
---|
| 1225 | int Model::getConnectionCount() const |
---|
| 1226 | { |
---|
[522] | 1227 | int n = 0; |
---|
| 1228 | for (int i = 0; i < getNeuroCount(); i++) |
---|
| 1229 | n += getNeuro(i)->getInputCount(); |
---|
| 1230 | return n; |
---|
[109] | 1231 | } |
---|
| 1232 | |
---|
[896] | 1233 | int Model::findNeuros(SList &result, |
---|
| 1234 | const char *classname, const Part *part, const Joint *joint) |
---|
[109] | 1235 | { |
---|
[522] | 1236 | Neuro *nu; |
---|
| 1237 | SString cn(classname); |
---|
| 1238 | int n0 = result.size(); |
---|
[896] | 1239 | for (int i = 0; nu = (Neuro *)neurons(i); i++) |
---|
[109] | 1240 | { |
---|
[522] | 1241 | if (part) |
---|
| 1242 | if (nu->part != part) continue; |
---|
| 1243 | if (joint) |
---|
| 1244 | if (nu->joint != joint) continue; |
---|
| 1245 | if (classname) |
---|
| 1246 | if (nu->getClassName() != cn) continue; |
---|
[896] | 1247 | result += (void *)nu; |
---|
[109] | 1248 | } |
---|
[522] | 1249 | return result.size() - n0; |
---|
[109] | 1250 | } |
---|
| 1251 | |
---|
| 1252 | /////////////////// |
---|
| 1253 | |
---|
| 1254 | void Model::disturb(double amount) |
---|
| 1255 | { |
---|
[522] | 1256 | int i; |
---|
| 1257 | if (amount <= 0) return; |
---|
| 1258 | for (i = 0; i < parts.size(); i++) |
---|
[109] | 1259 | { |
---|
[522] | 1260 | Part *p = getPart(i); |
---|
[896] | 1261 | p->p.x += (rndDouble(1) - 0.5) * amount; |
---|
| 1262 | p->p.y += (rndDouble(1) - 0.5) * amount; |
---|
| 1263 | p->p.z += (rndDouble(1) - 0.5) * amount; |
---|
[109] | 1264 | } |
---|
[522] | 1265 | for (i = 0; i < joints.size(); i++) |
---|
[109] | 1266 | { |
---|
[522] | 1267 | Joint *j = getJoint(i); |
---|
| 1268 | Pt3D tmpp(j->part2->p); |
---|
| 1269 | tmpp -= j->part1->p; |
---|
| 1270 | j->d = j->part2->o.revTransform(tmpp); |
---|
[109] | 1271 | } |
---|
| 1272 | } |
---|
| 1273 | |
---|
[896] | 1274 | void Model::move(const Pt3D &shift) |
---|
[274] | 1275 | { |
---|
[896] | 1276 | FOREACH(Part *, p, parts) |
---|
[522] | 1277 | p->p += shift; |
---|
[274] | 1278 | } |
---|
| 1279 | |
---|
[896] | 1280 | void Model::rotate(const Orient &rotation) |
---|
[274] | 1281 | { |
---|
[896] | 1282 | FOREACH(Part *, p, parts) |
---|
[274] | 1283 | { |
---|
[522] | 1284 | p->p = rotation.transform(p->p); |
---|
| 1285 | p->setOrient(rotation.transform(p->o)); |
---|
[274] | 1286 | } |
---|
| 1287 | } |
---|
| 1288 | |
---|
[896] | 1289 | void Model::buildUsingSolidShapeTypes(const Model &src_ballandstick_shapes, Part::Shape use_shape, double thickness) |
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[269] | 1290 | { |
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[546] | 1291 | for (int i = 0; i < src_ballandstick_shapes.getJointCount(); i++) |
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[269] | 1292 | { |
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[546] | 1293 | Joint *oj = src_ballandstick_shapes.getJoint(i); |
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| 1294 | Part *p = addNewPart(use_shape); |
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[522] | 1295 | p->p = (oj->part1->p + oj->part2->p) / 2; |
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| 1296 | Orient o; |
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| 1297 | o.lookAt(oj->part1->p - oj->part2->p); |
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[900] | 1298 | p->setRot(o.getAngles()); |
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[522] | 1299 | p->scale.x = oj->part1->p.distanceTo(oj->part2->p) / 2; |
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| 1300 | p->scale.y = thickness; |
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| 1301 | p->scale.z = thickness; |
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[269] | 1302 | } |
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[653] | 1303 | if (src_ballandstick_shapes.getJointCount() == 0) //single part "ball-and-stick" models are valid so let's make a valid solid shape model |
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| 1304 | for (int i = 0; i < src_ballandstick_shapes.getPartCount(); i++) |
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| 1305 | { |
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[896] | 1306 | Part *op = src_ballandstick_shapes.getPart(i); |
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| 1307 | Part *p = addNewPart(Part::SHAPE_ELLIPSOID); //always using spherical shape regardless of the 'use_shape' parameter - 'use shape' is meant for sticks! |
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| 1308 | p->p = op->p; |
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| 1309 | p->rot = op->rot; |
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| 1310 | p->scale.x = p->scale.y = p->scale.z = thickness; |
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[653] | 1311 | } |
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[546] | 1312 | for (int i = 0; i < src_ballandstick_shapes.getPartCount(); i++) |
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[269] | 1313 | { |
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[546] | 1314 | Part *op = src_ballandstick_shapes.getPart(i); |
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| 1315 | for (int j = 0; j < src_ballandstick_shapes.getJointCount(); j++) |
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[269] | 1316 | { |
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[546] | 1317 | Joint *oj = src_ballandstick_shapes.getJoint(j); |
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[522] | 1318 | if ((oj->part1 == op) || (oj->part2 == op)) |
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[269] | 1319 | { |
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[546] | 1320 | for (int j2 = j + 1; j2 < src_ballandstick_shapes.getJointCount(); j2++) |
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[269] | 1321 | { |
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[546] | 1322 | Joint *oj2 = src_ballandstick_shapes.getJoint(j2); |
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[522] | 1323 | if ((oj2->part1 == op) || (oj2->part2 == op)) |
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[269] | 1324 | { |
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[544] | 1325 | addNewJoint(getPart(j), getPart(j2), Joint::SHAPE_FIXED); |
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[269] | 1326 | } |
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| 1327 | } |
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[522] | 1328 | break; |
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[269] | 1329 | } |
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| 1330 | } |
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| 1331 | } |
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| 1332 | } |
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| 1333 | |
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[896] | 1334 | SolidsShapeTypeModel::SolidsShapeTypeModel(Model &m, Part::Shape use_shape, double thickness) |
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[546] | 1335 | { |
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| 1336 | using_model = converted_model = NULL; |
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[999] | 1337 | if (m.getShapeType() == Model::SHAPETYPE_BALL_AND_STICK) |
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[546] | 1338 | { |
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| 1339 | converted_model = new Model; |
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| 1340 | converted_model->open(); |
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| 1341 | converted_model->buildUsingSolidShapeTypes(m, use_shape, thickness); |
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| 1342 | converted_model->close(); |
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| 1343 | using_model = converted_model; |
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| 1344 | } |
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| 1345 | else |
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| 1346 | { |
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| 1347 | converted_model = NULL; |
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| 1348 | using_model = &m; |
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| 1349 | } |
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| 1350 | } |
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| 1351 | |
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[109] | 1352 | ////////////////////// |
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| 1353 | |
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[732] | 1354 | int Model::elementToMap(ItemType type, int index) |
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| 1355 | { |
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| 1356 | switch (type) |
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| 1357 | { |
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| 1358 | case PartType: return partToMap(index); |
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| 1359 | case JointType: return jointToMap(index); |
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| 1360 | case NeuronType: return neuroToMap(index); |
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| 1361 | default: return -1; |
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| 1362 | } |
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| 1363 | } |
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| 1364 | |
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| 1365 | Model::TypeAndIndex Model::mapToElement(int map_index) |
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| 1366 | { |
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| 1367 | if ((map_index >= 0) && (map_index < MODEL_MAPPING_OFFSET)) |
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| 1368 | return TypeAndIndex(PartType, mapToPart(map_index)); |
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| 1369 | if ((map_index >= MODEL_MAPPING_OFFSET) && (map_index < 2 * MODEL_MAPPING_OFFSET)) |
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| 1370 | return TypeAndIndex(JointType, mapToJoint(map_index)); |
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| 1371 | if ((map_index >= 2 * MODEL_MAPPING_OFFSET) && (map_index < 3 * MODEL_MAPPING_OFFSET)) |
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| 1372 | return TypeAndIndex(NeuronType, mapToNeuro(map_index)); |
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| 1373 | return TypeAndIndex(); |
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| 1374 | } |
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| 1375 | |
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| 1376 | int Model::partToMap(int i) { return MODEL_MAPPING_OFFSET + i; } |
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| 1377 | int Model::jointToMap(int i) { return 2 * MODEL_MAPPING_OFFSET + i; } |
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| 1378 | int Model::neuroToMap(int i) { return 3 * MODEL_MAPPING_OFFSET + i; } |
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| 1379 | int Model::mapToPart(int i) { return i - MODEL_MAPPING_OFFSET; } |
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| 1380 | int Model::mapToJoint(int i) { return i - 2 * MODEL_MAPPING_OFFSET; } |
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| 1381 | int Model::mapToNeuro(int i) { return i - 3 * MODEL_MAPPING_OFFSET; } |
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| 1382 | |
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| 1383 | |
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| 1384 | ////////////////////// |
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| 1385 | |
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[934] | 1386 | class MinPart : public Part_MinMaxDef { public: MinPart() { Param par(f0_part_paramtab, this); par.setMin(); Param par2(f0_part_minmaxdef_paramtab, this); par2.setMin(); } }; |
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| 1387 | class MaxPart : public Part_MinMaxDef { public: MaxPart() { Param par(f0_part_paramtab, this); par.setMax(); Param par2(f0_part_minmaxdef_paramtab, this); par2.setMax(); } }; |
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[522] | 1388 | class MinJoint : public Joint { public: MinJoint() { Param par(f0_joint_paramtab, this); par.setMin(); } }; |
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| 1389 | class MaxJoint : public Joint { public: MaxJoint() { Param par(f0_joint_paramtab, this); par.setMax(); } }; |
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| 1390 | class MinNeuro : public Neuro { public: MinNeuro() { Param par(f0_neuro_paramtab, this); par.setMin(); } }; |
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| 1391 | class MaxNeuro : public Neuro { public: MaxNeuro() { Param par(f0_neuro_paramtab, this); par.setMax(); } }; |
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[109] | 1392 | |
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[934] | 1393 | Part_MinMaxDef &Model::getMinPart() { static MinPart part; return part; } |
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| 1394 | Part_MinMaxDef &Model::getMaxPart() { static MaxPart part; return part; } |
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| 1395 | Part_MinMaxDef &Model::getDefPart() { static Part_MinMaxDef part; return part; } |
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[896] | 1396 | Joint &Model::getMinJoint() { static MinJoint joint; return joint; } |
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| 1397 | Joint &Model::getMaxJoint() { static MaxJoint joint; return joint; } |
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| 1398 | Joint &Model::getDefJoint() { static Joint joint; return joint; } |
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| 1399 | Neuro &Model::getMinNeuro() { static MinNeuro neuro; return neuro; } |
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| 1400 | Neuro &Model::getMaxNeuro() { static MaxNeuro neuro; return neuro; } |
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| 1401 | Neuro &Model::getDefNeuro() { static Neuro neuro; return neuro; } |
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