1 | // This file is a part of Framsticks SDK. http://www.framsticks.com/ |
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2 | // Copyright (C) 1999-2020 Maciej Komosinski and Szymon Ulatowski. |
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3 | // See LICENSE.txt for details. |
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4 | |
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5 | #include "fH_oper.h" |
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6 | |
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7 | #include <common/loggers/loggers.h> |
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8 | #include <frams/param/syntparam.h> |
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9 | #include <frams/param/paramobj.h> |
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10 | |
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11 | #define FIELDSTRUCT Geno_fH |
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12 | |
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13 | static ParamEntry geno_fH_paramtab[] = |
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14 | { |
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15 | { "Genetics: fH", 1, FH_OPCOUNT + FH_ADD_OPCOUNT, }, |
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16 | { "fH_mut_addition", 0, 0, "Add element", "f 0 1 0.3", FIELD(operations[FH_ADD]), "Probability of adding new element to genotype", }, |
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17 | { "fH_mut_add_joint", 0, 0, " - add joint", "f 0 1 0.33", FIELD(addoperations[FH_ADD_STICK]), "Probability of adding new stick handle", }, |
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18 | { "fH_mut_add_neuron", 0, 0, " - add neuron", "f 0 1 0.33", FIELD(addoperations[FH_ADD_NEURO]), "Probability of adding new neuron handle", }, |
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19 | { "fH_mut_add_connection", 0, 0, " - add connection", "f 0 1 0.33", FIELD(addoperations[FH_ADD_CONN]), "Probability of adding new connection handle", }, |
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20 | { "fH_mut_deletion", 0, 0, "Delete element", "f 0 1 0.1", FIELD(operations[FH_DEL]), "Probability of removing element from genotype", }, |
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21 | { "fH_mut_handle", 0, 0, "Modify vectors of handles", "f 0 1 0.3", FIELD(operations[FH_HANDLE]), "Probability of changing values in vectors of handle", }, |
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22 | { "fH_mut_property", 0, 0, "Modify properties of handles", "f 0 1 0.3", FIELD(operations[FH_PROP]), "Probability of changing properties of handles", }, |
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23 | { 0, }, |
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24 | }; |
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25 | |
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26 | #undef FIELDSTRUCT |
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27 | |
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28 | Geno_fH::Geno_fH() |
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29 | { |
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30 | par.setParamTab(geno_fH_paramtab); |
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31 | par.select(this); |
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32 | par.setDefault(); |
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33 | supported_format = 'H'; |
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34 | } |
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35 | |
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36 | int Geno_fH::checkValidity(const char* geno, const char* genoname) |
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37 | { |
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38 | LoggerToMemory eh(LoggerBase::Enable | LoggerToMemory::StoreAllMessages, LOG_WARN); |
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39 | fH_Builder builder; |
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40 | // during parsing method tries to approximate error position |
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41 | int err = builder.parseGenotype(geno); |
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42 | if (err != 0) |
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43 | { |
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44 | return err; |
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45 | } |
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46 | if (builder.sticks.size() == 0) |
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47 | { |
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48 | return 1; |
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49 | } |
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50 | int amount = builder.removeNeuronsWithInvalidClasses(); |
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51 | if (amount > 0) |
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52 | { |
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53 | return 1; |
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54 | } |
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55 | return 0; |
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56 | } |
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57 | |
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58 | int Geno_fH::validate(char *&geno, const char *genoname) |
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59 | { |
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60 | // 'eh' variable is used for "hiding" error and warning messages generated during fH |
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61 | // genotype parsing |
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62 | LoggerToMemory eh(LoggerBase::Enable | LoggerToMemory::StoreAllMessages, LOG_WARN); |
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63 | fH_Builder builder; |
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64 | int err = builder.parseGenotype(geno); |
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65 | // if parsing failed, then it is impossible to repair genotype |
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66 | if (err != 0) |
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67 | { |
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68 | return GENOPER_OPFAIL; |
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69 | } |
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70 | // method removes definitions of neurons that have invalid genotype |
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71 | int amount = builder.removeNeuronsWithInvalidClasses(); |
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72 | // if there were any warnings, then rewrite genotype |
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73 | if (eh.getWarningCount() > 0 || amount > 0) |
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74 | { |
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75 | free(geno); |
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76 | geno = strdup(builder.toString().c_str()); |
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77 | } |
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78 | return GENOPER_OK; |
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79 | } |
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80 | |
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81 | int Geno_fH::crossOver(char *&g1, char *&g2, float& chg1, float& chg2) |
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82 | { |
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83 | fH_Builder *parent1 = new fH_Builder(); |
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84 | fH_Builder *parent2 = new fH_Builder(); |
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85 | |
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86 | // first of all, both parents need to be parsed. If parents cannot be |
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87 | // parsed or their dimensionality differs, then method returns GENOPER_OPFAIL |
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88 | if (parent1->parseGenotype(g1) != 0 || parent2->parseGenotype(g2) != 0 || |
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89 | parent1->dimensions != parent2->dimensions) |
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90 | { |
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91 | return GENOPER_OPFAIL; |
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92 | } |
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93 | |
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94 | // Builders for children are defined |
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95 | fH_Builder *child1 = new fH_Builder(); |
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96 | fH_Builder *child2 = new fH_Builder(); |
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97 | |
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98 | child1->dimensions = child2->dimensions = parent1->dimensions; |
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99 | |
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100 | // Children Params are prepared for incoming handles |
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101 | child1->prepareParams(); |
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102 | child2->prepareParams(); |
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103 | |
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104 | int child1count = 0; |
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105 | int child2count = 0; |
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106 | |
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107 | for (unsigned int i = 0; i < parent1->sticks.size(); i++) |
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108 | { |
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109 | if (rndUint(2) == 0) |
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110 | { |
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111 | child1->sticks.push_back(parent1->sticks[i]); |
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112 | child1count++; |
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113 | } |
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114 | else |
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115 | { |
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116 | child2->sticks.push_back(parent1->sticks[i]); |
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117 | } |
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118 | } |
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119 | |
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120 | for (unsigned int i = 0; i < parent2->sticks.size(); i++) |
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121 | { |
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122 | if (rndUint(2) == 0) |
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123 | { |
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124 | child1->sticks.push_back(parent2->sticks[i]); |
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125 | } |
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126 | else |
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127 | { |
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128 | child2->sticks.push_back(parent2->sticks[i]); |
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129 | child2count++; |
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130 | } |
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131 | } |
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132 | |
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133 | // if one of children does not have any sticks, then other child takes |
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134 | // everything else |
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135 | bool skip1 = false; |
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136 | bool skip2 = false; |
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137 | if (child1->sticks.size() == 0) skip1 = true; |
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138 | if (child2->sticks.size() == 0) skip2 = true; |
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139 | |
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140 | for (unsigned int i = 0; i < parent1->neurons.size(); i++) |
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141 | { |
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142 | if ((rndUint(2) == 0 || skip2) && !skip1) |
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143 | { |
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144 | child1->neurons.push_back(parent1->neurons[i]); |
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145 | child1count++; |
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146 | } |
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147 | else |
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148 | { |
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149 | child2->neurons.push_back(parent1->neurons[i]); |
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150 | } |
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151 | } |
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152 | |
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153 | for (unsigned int i = 0; i < parent2->neurons.size(); i++) |
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154 | { |
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155 | if ((rndUint(2) == 0 || skip2) && !skip1) |
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156 | { |
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157 | child1->neurons.push_back(parent2->neurons[i]); |
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158 | } |
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159 | else |
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160 | { |
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161 | child2->neurons.push_back(parent2->neurons[i]); |
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162 | child2count++; |
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163 | } |
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164 | } |
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165 | |
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166 | for (unsigned int i = 0; i < parent1->connections.size(); i++) |
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167 | { |
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168 | if ((rndUint(2) == 0 || skip2) && !skip1) |
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169 | { |
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170 | child1->connections.push_back(parent1->connections[i]); |
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171 | child1count++; |
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172 | } |
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173 | else |
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174 | { |
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175 | child2->connections.push_back(parent1->connections[i]); |
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176 | } |
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177 | } |
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178 | |
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179 | for (unsigned int i = 0; i < parent2->connections.size(); i++) |
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180 | { |
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181 | if ((rndUint(2) == 0 || skip2) && !skip1) |
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182 | { |
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183 | child1->connections.push_back(parent2->connections[i]); |
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184 | } |
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185 | else |
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186 | { |
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187 | child2->connections.push_back(parent2->connections[i]); |
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188 | child2count++; |
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189 | } |
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190 | } |
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191 | |
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192 | chg1 = (float)child1count / (parent1->sticks.size() + parent1->neurons.size() + parent1->connections.size()); |
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193 | chg2 = (float)child2count / (parent2->sticks.size() + parent2->neurons.size() + parent2->connections.size()); |
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194 | |
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195 | free(g1); |
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196 | free(g2); |
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197 | if (skip1 && !skip2) |
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198 | { |
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199 | g1 = strdup(child2->toString().c_str()); |
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200 | g2 = strdup(""); |
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201 | } |
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202 | else if (!skip1 && skip2) |
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203 | { |
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204 | g1 = strdup(child1->toString().c_str()); |
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205 | g2 = strdup(""); |
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206 | } |
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207 | else |
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208 | { |
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209 | g1 = strdup(child1->toString().c_str()); |
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210 | g2 = strdup(child2->toString().c_str()); |
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211 | } |
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212 | |
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213 | child1->sticks.clear(); |
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214 | child1->neurons.clear(); |
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215 | child1->connections.clear(); |
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216 | |
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217 | child2->sticks.clear(); |
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218 | child2->neurons.clear(); |
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219 | child2->connections.clear(); |
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220 | |
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221 | delete parent1; |
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222 | delete parent2; |
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223 | delete child1; |
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224 | delete child2; |
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225 | |
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226 | return GENOPER_OK; |
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227 | } |
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228 | |
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229 | int Geno_fH::mutate(char *&geno, float& chg, int &method) |
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230 | { |
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231 | // method only needs to parse genotype - it won't create Model |
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232 | fH_Builder *creature = new fH_Builder(); |
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233 | if (creature->parseGenotype(geno) != 0) |
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234 | { |
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235 | return GENOPER_OPFAIL; |
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236 | } |
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237 | |
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238 | // used for computing chg |
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239 | unsigned int sumgenes = creature->sticks.size() + creature->neurons.size() + creature->connections.size(); |
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240 | |
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241 | // if there is only one element in genotype (stick), then deletion would end |
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242 | // up with wrong genotype. If this occurs, deletion is skipped (deletion is |
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243 | // last possible operation listed in #defines, so fH_OPCOUNT - 1 will skip |
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244 | // this mutation, and roulette method will normalize the rest of probabilities) |
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245 | int skipdelete = 0; |
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246 | if (creature->sticks.size() + creature->neurons.size() + creature->connections.size() == 1) |
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247 | { |
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248 | skipdelete = 1; |
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249 | } |
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250 | |
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251 | method = roulette(operations, FH_OPCOUNT - skipdelete); |
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252 | switch (method) { |
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253 | case FH_ADD: |
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254 | { |
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255 | fH_Handle *handle = NULL; |
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256 | method = FH_OPCOUNT + roulette(addoperations, FH_ADD_OPCOUNT); |
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257 | if (getActiveNeuroClassCount(Model::SHAPE_BALL_AND_STICK) == 0) method = FH_OPCOUNT + FH_ADD_STICK; |
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258 | switch (method - FH_OPCOUNT) |
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259 | { |
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260 | case FH_ADD_STICK: |
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261 | { |
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262 | handle = new fH_StickHandle(creature->dimensions, 0, 0); |
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263 | createHandleVectors(handle, creature->stickparamtab, creature->dimensions); |
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264 | break; |
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265 | } |
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266 | case FH_ADD_NEURO: |
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267 | { |
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268 | handle = new fH_NeuronHandle(creature->dimensions, 0, 0); |
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269 | createHandleVectors(handle, creature->neuronparamtab, creature->dimensions); |
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270 | break; |
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271 | } |
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272 | case FH_ADD_CONN: |
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273 | { |
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274 | handle = new fH_ConnectionHandle(creature->dimensions, 0, 0); |
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275 | createHandleVectors(handle, creature->connectionparamtab, creature->dimensions); |
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276 | break; |
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277 | } |
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278 | } |
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279 | creature->addHandle(handle); |
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280 | break; |
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281 | } |
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282 | case FH_HANDLE: |
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283 | { |
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284 | ParamEntry *tab = NULL; |
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285 | fH_Handle *handle = NULL; |
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286 | getRandomHandle(creature, handle, tab, true); |
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287 | mutateHandleValues(handle, tab, creature->dimensions, true, false); |
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288 | break; |
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289 | } |
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290 | case FH_PROP: |
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291 | { |
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292 | ParamEntry *tab = NULL; |
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293 | fH_Handle *handle = NULL; |
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294 | getRandomHandle(creature, handle, tab, true); |
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295 | if (handle->type == fHBodyType::NEURON) |
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296 | { |
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297 | mutateNeuronHandleProperties((fH_NeuronHandle *)handle, creature->neuronparamtab); |
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298 | } |
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299 | else |
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300 | { |
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301 | mutateHandleValues(handle, tab, creature->dimensions, false, true); |
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302 | } |
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303 | break; |
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304 | } |
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305 | case FH_DEL: |
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306 | { |
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307 | ParamEntry *tab = NULL; |
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308 | fH_Handle *handle = NULL; |
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309 | int todelete = getRandomHandle(creature, handle, tab, true); |
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310 | switch (handle->type) |
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311 | { |
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312 | case JOINT: |
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313 | creature->sticks.erase(creature->sticks.begin() + todelete); |
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314 | break; |
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315 | case NEURON: |
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316 | creature->neurons.erase(creature->neurons.begin() + todelete); |
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317 | break; |
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318 | case CONNECTION: |
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319 | creature->connections.erase(creature->connections.begin() + todelete); |
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320 | break; |
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321 | } |
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322 | delete handle; |
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323 | break; |
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324 | } |
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325 | } |
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326 | free(geno); |
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327 | geno = strdup(creature->toString().c_str()); |
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328 | chg = (double)1.0 / sumgenes; |
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329 | delete creature; |
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330 | return GENOPER_OK; |
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331 | } |
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332 | |
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333 | void Geno_fH::mutateHandleValues(fH_Handle *handle, ParamEntry *tab, |
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334 | int dimensions, bool changedimensions, bool changeproperties) |
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335 | { |
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336 | Param par(tab, handle->obj); |
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337 | handle->saveProperties(par); |
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338 | if (changedimensions) |
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339 | { |
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340 | int i = rndUint(2 * dimensions); |
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341 | changeDoubleProperty(i, par, handle->type); |
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342 | } |
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343 | |
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344 | if (changeproperties) |
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345 | { |
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346 | int i = 2 * dimensions + rndUint(par.getPropCount() - 2 * dimensions); |
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347 | changeDoubleProperty(i, par, handle->type); |
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348 | } |
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349 | handle->loadProperties(par); |
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350 | //ParamObject::freeObject(obj); |
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351 | } |
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352 | |
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353 | void Geno_fH::createHandleVectors(fH_Handle *handle, ParamEntry *tab, int dimensions) |
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354 | { |
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355 | void *obj = ParamObject::makeObject(tab); |
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356 | Param par(tab, obj); |
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357 | par.setDefault(); |
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358 | double min, max, def; |
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359 | par.getMinMaxDouble(0, min, max, def); |
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360 | for (int i = 0; i < dimensions; i++) |
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361 | { |
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362 | par.setDouble(i, min + rndDouble(max - min)); |
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363 | par.setDouble(i + dimensions, min + rndDouble(max - min)); |
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364 | } |
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365 | handle->loadProperties(par); |
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366 | if (handle->type != fHBodyType::NEURON) |
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367 | { |
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368 | int i = 2 * dimensions + rndUint(par.getPropCount() - 2 * dimensions); |
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369 | changeDoubleProperty(i, par, handle->type); |
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370 | } |
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371 | else |
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372 | { |
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373 | mutateNeuronHandleProperties((fH_NeuronHandle *)handle, tab, true); |
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374 | } |
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375 | } |
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376 | |
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377 | void Geno_fH::changeDoubleProperty(int id, Param &par, fHBodyType type) |
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378 | { |
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379 | double min, max, def; |
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380 | if (*par.type(id) == 'f') |
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381 | { |
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382 | // need to check if property is not weight of connection |
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383 | if (type != fHBodyType::CONNECTION || *par.id(id) != 'w') |
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384 | { |
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385 | par.getMinMaxDouble(id, min, max, def); |
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386 | par.setDouble(id, mutateCreep('f', par.getDouble(id), min, max, true)); |
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387 | } |
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388 | else |
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389 | { |
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390 | // if it is weight, then method needs to use mutateNeuProperty |
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391 | double current = par.getDouble(id); |
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392 | par.setDouble(id, getMutatedNeuronConnectionWeight(current)); |
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393 | } |
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394 | } |
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395 | else |
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396 | { |
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397 | logMessage("Geno_fH", "changeDoubleProperty", LOG_WARN, "fH mutations are not prepared for non-double properties"); |
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398 | } |
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399 | } |
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400 | |
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401 | unsigned int Geno_fH::getRandomHandle(fH_Builder *creature, fH_Handle *&handle, ParamEntry *&tab, bool skipalonestick) |
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402 | { |
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403 | unsigned int allhandlescount = creature->connections.size() + creature->neurons.size(); |
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404 | if (!skipalonestick || creature->sticks.size() > 1) |
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405 | { |
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406 | allhandlescount += creature->sticks.size(); |
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407 | } |
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408 | unsigned int toselect = rndUint(allhandlescount); |
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409 | if (toselect < creature->connections.size()) |
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410 | { |
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411 | handle = creature->connections[toselect]; |
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412 | tab = creature->connectionparamtab; |
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413 | return toselect; |
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414 | } |
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415 | else if (toselect - creature->connections.size() < creature->neurons.size()) |
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416 | { |
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417 | toselect -= creature->connections.size(); |
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418 | handle = creature->neurons[toselect]; |
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419 | tab = creature->neuronparamtab; |
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420 | return toselect; |
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421 | } |
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422 | toselect -= creature->connections.size() + creature->neurons.size(); |
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423 | handle = creature->sticks[toselect]; |
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424 | tab = creature->stickparamtab; |
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425 | return toselect; |
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426 | } |
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427 | |
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428 | void Geno_fH::mutateNeuronProperties(SString &det) //used also by the "fB" and "fL" encodings |
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429 | { |
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430 | Neuro neu; |
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431 | neu.setDetails(det == "" ? "N" : det); |
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432 | GenoOperators::mutateRandomNeuroClassProperty(&neu); |
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433 | det = neu.getDetails(); |
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434 | } |
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435 | |
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436 | void Geno_fH::mutateNeuronHandleProperties(fH_NeuronHandle *handle, ParamEntry *tab, bool userandomclass) |
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437 | { |
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438 | Param hpar(tab, handle->obj); |
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439 | SString det; |
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440 | if (userandomclass) |
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441 | { |
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442 | NeuroClass *nc = getRandomNeuroClass(Model::SHAPE_BALL_AND_STICK); // checking that neuron classes are available should be done before |
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443 | det = nc->getName(); |
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444 | } |
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445 | else |
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446 | { |
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447 | det = hpar.getStringById("d"); |
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448 | } |
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449 | mutateNeuronProperties(det); |
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450 | hpar.setStringById("d", det); |
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451 | } |
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452 | |
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453 | //uint32_t Geno_fH::style(const char *geno, int pos) |
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454 | //{ |
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455 | // char ch = geno[pos]; |
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456 | // uint32_t style = GENSTYLE_CS(0, GENSTYLE_STRIKEOUT); |
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457 | // if (pos == 0 || geno[pos - 1] == '\n' || ch == ':') // single-character handle type and all colons |
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458 | // { |
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459 | // style = GENSTYLE_CS(GENCOLOR_TEXT, GENSTYLE_BOLD); |
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460 | // } |
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461 | // else if (isalpha(ch)) // properties name |
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462 | // { |
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463 | // style = GENSTYLE_RGBS(0, 200, 0, GENSTYLE_BOLD); |
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464 | // } |
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465 | // else if (isdigit(ch) || strchr(",.=", ch)) // properties values |
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466 | // { |
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467 | // style = GENSTYLE_CS(GENCOLOR_TEXT, GENSTYLE_NONE); |
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468 | // } |
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469 | // else if (ch == '\"') |
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470 | // { |
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471 | // style = GENSTYLE_RGBS(200, 0, 0, GENSTYLE_BOLD); |
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472 | // } |
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473 | // |
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474 | // return style; |
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475 | //} |
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476 | |
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477 | uint32_t Geno_fH::style(const char *g, int pos) |
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478 | { |
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479 | char ch = g[pos]; |
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480 | uint32_t style = GENSTYLE_CS(0, GENSTYLE_NONE); //default, should be changed below |
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481 | |
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482 | int pp = pos; //detect comment line |
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483 | while (pp > 1 && g[pp - 1] != '\n') pp--; |
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484 | if (g[pp] == '#') return GENSTYLE_RGBS(0, 220, 0, GENSTYLE_NONE); //comment line |
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485 | |
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486 | if (pos == 0 || g[pos - 1] == '\n' || ch == ':' || ch == ',') style = GENSTYLE_CS(0, GENSTYLE_BOLD); else |
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487 | if (ch == '\"') style = GENSTYLE_RGBS(150, 0, 0, GENSTYLE_BOLD); else |
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488 | { |
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489 | int cudz = 0, neuclass = 1; //ile cudz. do poczatku linii; czy w nazwie neuroklasy? |
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490 | while (pos > 0) |
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491 | { |
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492 | pos--; |
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493 | if (g[pos] == '\"') cudz++; |
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494 | if (cudz == 0 && (g[pos] == ':' || g[pos] == ',')) neuclass = 0; |
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495 | if (g[pos] == '\n') break; |
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496 | } |
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497 | if (cudz % 2) |
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498 | { |
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499 | if (neuclass) style = GENSTYLE_RGBS(150, 0, 150, GENSTYLE_BOLD); else //neuroclass |
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500 | if (isalpha(ch)) style = GENSTYLE_RGBS(255, 140, 0, GENSTYLE_BOLD); else //property |
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501 | style = GENSTYLE_RGBS(200, 0, 0, GENSTYLE_NONE); |
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502 | } |
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503 | else |
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504 | if (isalpha(ch)) style = GENSTYLE_RGBS(0, 0, 200, GENSTYLE_BOLD); |
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505 | } |
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506 | return style; |
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507 | } |
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