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And now it should work again too
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1 | /* |
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2 | * LDForge: LDraw parts authoring CAD |
968 | 3 | * Copyright (C) 2013 - 2015 Teemu Piippo |
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4 | * |
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5 | * This program is free software: you can redistribute it and/or modify |
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6 | * it under the terms of the GNU General Public License as published by |
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7 | * the Free Software Foundation, either version 3 of the License, or |
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8 | * (at your option) any later version. |
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9 | * |
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10 | * This program is distributed in the hope that it will be useful, |
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11 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
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12 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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13 | * GNU General Public License for more details. |
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14 | * |
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15 | * You should have received a copy of the GNU General Public License |
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16 | * along with this program. If not, see <http://www.gnu.org/licenses/>. |
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17 | */ |
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18 | |
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19 | #include "ringFinder.h" |
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20 | #include "miscallenous.h" |
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21 | |
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22 | RingFinder g_RingFinder; |
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23 | |
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24 | RingFinder::RingFinder() {} |
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25 | |
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26 | // ============================================================================= |
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27 | // |
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28 | bool RingFinder::findRingsRecursor (double r0, double r1, Solution& currentSolution) |
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29 | { |
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30 | // Don't recurse too deep. |
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31 | if (m_stack >= 5 or r1 < r0) |
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32 | return false; |
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33 | |
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34 | // Find the scale and number of a ring between r1 and r0. |
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35 | double scale = r1 - r0; |
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36 | double num = r0 / scale; |
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37 | |
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38 | // If the ring number is integral, we have found a fitting ring to r0 -> r1! |
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39 | if (isInteger (num)) |
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40 | { |
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41 | Component cmp; |
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42 | cmp.scale = scale; |
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43 | cmp.num = (int) round (num); |
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44 | currentSolution.addComponent (cmp); |
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45 | |
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46 | // If we're still at the first recursion, this is the only |
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47 | // ring and there's nothing left to do. Guess we found the winner. |
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48 | if (m_stack == 0) |
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49 | { |
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50 | m_solutions.push_back (currentSolution); |
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51 | return true; |
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52 | } |
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53 | } |
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54 | else |
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55 | { |
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56 | // Try find solutions by splitting the ring in various positions. |
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57 | if (isZero (r1 - r0)) |
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58 | return false; |
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59 | |
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60 | double interval; |
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61 | |
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62 | // Determine interval. The smaller delta between radii, the more precise |
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63 | // interval should be used. We can't really use a 0.5 increment when |
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64 | // calculating rings to 10 -> 105... that would take ages to process! |
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65 | if (r1 - r0 < 0.5) |
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66 | interval = 0.1; |
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67 | else if (r1 - r0 < 10) |
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68 | interval = 0.5; |
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69 | else if (r1 - r0 < 50) |
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70 | interval = 1; |
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71 | else |
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72 | interval = 5; |
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73 | |
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74 | // Now go through possible splits and try find rings for both segments. |
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75 | for (double r = r0 + interval; r < r1; r += interval) |
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76 | { |
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77 | Solution sol = currentSolution; |
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78 | |
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79 | m_stack++; |
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80 | bool res = findRingsRecursor (r0, r, sol) and findRingsRecursor (r, r1, sol); |
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81 | m_stack--; |
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82 | |
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83 | if (res) |
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84 | { |
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85 | // We succeeded in finding radii for this segment. If the stack is 0, this |
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86 | // is the first recursion to this function. Thus there are no more ring segments |
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87 | // to process and we can add the solution. |
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88 | // |
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89 | // If not, when this function ends, it will be called again with more arguments. |
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90 | // Accept the solution to this segment by setting currentSolution to sol, and |
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91 | // return true to continue processing. |
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92 | if (m_stack == 0) |
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93 | m_solutions.push_back (sol); |
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94 | else |
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95 | { |
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96 | currentSolution = sol; |
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97 | return true; |
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98 | } |
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99 | } |
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100 | } |
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101 | |
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102 | return false; |
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103 | } |
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104 | |
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105 | return true; |
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106 | } |
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107 | |
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108 | // |
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109 | // This is the main algorithm of the ring finder. It tries to use math |
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110 | // to find the one ring between r0 and r1. If it fails (the ring number |
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111 | // is non-integral), it finds an intermediate radius (ceil of the ring |
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112 | // number times scale) and splits the radius at this point, calling this |
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113 | // function again to try find the rings between r0 - r and r - r1. |
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114 | // |
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115 | // This does not always yield into usable results. If at some point r == |
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116 | // r0 or r == r1, there is no hope of finding the rings, at least with |
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117 | // this algorithm, as it would fall into an infinite recursion. |
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118 | // |
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119 | bool RingFinder::findRings (double r0, double r1) |
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120 | { |
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121 | m_solutions.clear(); |
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122 | Solution sol; |
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123 | |
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124 | // If we're dealing with fractional radii, try upscale them into integral |
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125 | // ones. This should yield in more reliable and more optimized results. |
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126 | // For instance, using r0=1.5, r1=3.5 causes the algorithm to fail but |
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127 | // r0=3, r1=7 (scaled up by 2) yields a 2-component solution. We can then |
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128 | // downscale the radii back by dividing the scale fields of the solution |
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129 | // components. |
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130 | double scale = 1.0; |
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131 | |
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132 | if (not isZero (scale = r0 - floor (r0)) or not isZero (scale = r1 - floor (r1))) |
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133 | { |
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134 | double r0f = r0 / scale; |
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135 | double r1f = r1 / scale; |
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136 | |
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137 | if (isInteger (r0f) and isInteger (r1f)) |
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138 | { |
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139 | r0 = r0f; |
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140 | r1 = r1f; |
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141 | } |
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142 | // If the numbers are both at most one-decimal fractions, we can use a scale of 10 |
967 | 143 | else if (isInteger (r0 * 10) and isInteger (r1 * 10)) |
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144 | { |
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145 | scale = 0.1; |
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146 | r0 *= 10; |
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147 | r1 *= 10; |
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148 | } |
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149 | } |
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150 | else |
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151 | { |
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152 | scale = 1.0; |
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153 | } |
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154 | |
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155 | // Recurse in and try find solutions. |
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156 | findRingsRecursor (r0, r1, sol); |
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157 | |
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158 | // If we had upscaled our radii, downscale back now. |
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159 | if (scale != 1.0) |
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160 | { |
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161 | for (Solution& sol : m_solutions) |
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162 | sol.scaleComponents (scale); |
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163 | } |
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164 | |
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165 | // Compare the solutions and find the best one. The solution class has an operator> |
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166 | // overload to compare two solutions. |
984 | 167 | m_bestSolution = nullptr; |
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168 | |
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169 | for (Solution const& sol : m_solutions) |
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170 | { |
984 | 171 | if (m_bestSolution == nullptr or sol.isSuperiorTo (m_bestSolution)) |
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172 | m_bestSolution = / |
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173 | } |
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174 | |
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175 | return (m_bestSolution); |
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176 | } |
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177 | |
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178 | // |
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179 | // Compares this solution with @other and determines which |
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180 | // one is superior. |
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181 | // |
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182 | // A solution is considered superior if solution has less |
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183 | // components than the other one. If both solution have an |
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184 | // equal amount components, the solution with a lesser maximum |
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185 | // ring number is found superior, as such solutions should |
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186 | // yield less new primitives and cleaner definitions. |
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187 | // |
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188 | // The solution which is found superior to every other solution |
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189 | // will be the one returned by RingFinder::bestSolution(). |
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190 | // |
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191 | bool RingFinder::Solution::isSuperiorTo (const Solution* other) const |
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192 | { |
813 | 193 | // If one solution has less components than the other one, it is definitely |
194 | // better. | |
195 | if (getComponents().size() != other->getComponents().size()) | |
196 | return getComponents().size() < other->getComponents().size(); | |
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197 | |
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198 | // Calculate the maximum ring number. Since the solutions have equal |
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199 | // ring counts, the solutions with lesser maximum rings should result |
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200 | // in cleaner code and less new primitives, right? |
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201 | int maxA = 0, |
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202 | maxB = 0; |
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203 | |
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204 | for (int i = 0; i < getComponents().size(); ++i) |
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205 | { |
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206 | maxA = qMax (getComponents()[i].num, maxA); |
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207 | maxB = qMax (other->getComponents()[i].num, maxB); |
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208 | } |
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209 | |
813 | 210 | if (maxA != maxB) |
211 | return maxA < maxB; | |
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212 | |
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213 | // Solutions have equal rings and equal maximum ring numbers. Let's |
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214 | // just say this one is better, at this point it does not matter which |
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215 | // one is chosen. |
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216 | return true; |
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217 | } |
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218 | |
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219 | void RingFinder::Solution::scaleComponents (double scale) |
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220 | { |
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221 | for (Component& cmp : m_components) |
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222 | cmp.scale *= scale; |
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223 | } |