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-rw-r--r--Tests/MODELS2020-CaseStudies/case.study.pledge.run/MODELS2020Plots-temp.ipynb269
1 files changed, 127 insertions, 142 deletions
diff --git a/Tests/MODELS2020-CaseStudies/case.study.pledge.run/MODELS2020Plots-temp.ipynb b/Tests/MODELS2020-CaseStudies/case.study.pledge.run/MODELS2020Plots-temp.ipynb
index 3ced7f5b..b91d8e53 100644
--- a/Tests/MODELS2020-CaseStudies/case.study.pledge.run/MODELS2020Plots-temp.ipynb
+++ b/Tests/MODELS2020-CaseStudies/case.study.pledge.run/MODELS2020Plots-temp.ipynb
@@ -16,7 +16,7 @@
16 }, 16 },
17 { 17 {
18 "cell_type": "code", 18 "cell_type": "code",
19 "execution_count": 7, 19 "execution_count": 1,
20 "metadata": { 20 "metadata": {
21 "scrolled": true 21 "scrolled": true
22 }, 22 },
@@ -25,6 +25,23 @@
25 "name": "stderr", 25 "name": "stderr",
26 "output_type": "stream", 26 "output_type": "stream",
27 "text": [ 27 "text": [
28 "Loading required package: tidyverse\n",
29 "\n",
30 "── \u001b[1mAttaching packages\u001b[22m ─────────────────────────────────────── tidyverse 1.3.0 ──\n",
31 "\n",
32 "\u001b[32m✔\u001b[39m \u001b[34mggplot2\u001b[39m 3.3.2 \u001b[32m✔\u001b[39m \u001b[34mpurrr \u001b[39m 0.3.4\n",
33 "\u001b[32m✔\u001b[39m \u001b[34mtibble \u001b[39m 3.0.3 \u001b[32m✔\u001b[39m \u001b[34mdplyr \u001b[39m 1.0.0\n",
34 "\u001b[32m✔\u001b[39m \u001b[34mtidyr \u001b[39m 1.1.0 \u001b[32m✔\u001b[39m \u001b[34mstringr\u001b[39m 1.4.0\n",
35 "\u001b[32m✔\u001b[39m \u001b[34mreadr \u001b[39m 1.3.1 \u001b[32m✔\u001b[39m \u001b[34mforcats\u001b[39m 0.5.0\n",
36 "\n",
37 "Warning message:\n",
38 "“package ‘ggplot2’ was built under R version 4.0.1”\n",
39 "Warning message:\n",
40 "“package ‘tibble’ was built under R version 4.0.2”\n",
41 "── \u001b[1mConflicts\u001b[22m ────────────────────────────────────────── tidyverse_conflicts() ──\n",
42 "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m masks \u001b[34mstats\u001b[39m::filter()\n",
43 "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m masks \u001b[34mstats\u001b[39m::lag()\n",
44 "\n",
28 "Warning message in dir.create(\"plots\"):\n", 45 "Warning message in dir.create(\"plots\"):\n",
29 "“'plots' already exists”\n" 46 "“'plots' already exists”\n"
30 ] 47 ]
@@ -37,7 +54,7 @@
37 }, 54 },
38 { 55 {
39 "cell_type": "code", 56 "cell_type": "code",
40 "execution_count": 28, 57 "execution_count": 2,
41 "metadata": { 58 "metadata": {
42 "scrolled": false 59 "scrolled": false
43 }, 60 },
@@ -48,7 +65,7 @@
48 " str <- sub('Backtrackingtime', 'BacktrackingTime', str)\n", 65 " str <- sub('Backtrackingtime', 'BacktrackingTime', str)\n",
49 " str <- gsub('\\\\(|\\\\)', '', str)\n", 66 " str <- gsub('\\\\(|\\\\)', '', str)\n",
50 " str <- lapply(strsplit(str, '\\\\||:'), function (v) {\n", 67 " str <- lapply(strsplit(str, '\\\\||:'), function (v) {\n",
51 " dim(v) <- c(2, 11)\n", 68 " dim(v) <- c(2, 12)\n",
52 " values <- as.double(v[2,])\n", 69 " values <- as.double(v[2,])\n",
53 " names(values) <- v[1,]\n", 70 " names(values) <- v[1,]\n",
54 " as.data.frame(t(values))\n", 71 " as.data.frame(t(values))\n",
@@ -76,13 +93,12 @@
76 " Solution0FoundAt = Solution0FoundAt,\n", 93 " Solution0FoundAt = Solution0FoundAt,\n",
77 " additionalTime = Solution9FoundAt - Solution0FoundAt,\n", 94 " additionalTime = Solution9FoundAt - Solution0FoundAt,\n",
78 " Solution1DetailedStatistics = ProcessDetailedStatistics(Solution1DetailedStatistics)\n", 95 " Solution1DetailedStatistics = ProcessDetailedStatistics(Solution1DetailedStatistics)\n",
79 " ) %>% unnest()\n", 96 " ) %>% unnest() %>% mutate(\n",
80 "# %>% unnest() %>% mutate(\n", 97 " # (Logical) constraint evluation should count as refinement.\n",
81 "# # (Logical) constraint evluation should count as refinement.\n", 98 " ForwardTime = ForwardTime + GlobalConstraintEvaluationTime + FitnessCalculationTime,\n",
82 "# ForwardTime = ForwardTime + GlobalConstraintEvaluationTime + FitnessCalculationTime,\n", 99 " preprocessingTime = preprocessingTime,\n",
83 "# preprocessingTime = preprocessingTime,\n", 100 " BacktrackingTime = Solution0FoundAt - (StateCoderTime + ForwardTime + NumericalSolverSumTime)\n",
84 "# BacktrackingTime = Solution0FoundAt - (StateCoderTime + ForwardTime + NumericalSolverSumTime)\n", 101 " ) %>% select(n, Run, preprocessingTime, StateCoderTime, ForwardTime, BacktrackingTime, NumericalSolverSumTime, additionalTime)\n",
85 "# ) %>% select(n, Run, preprocessingTime, StateCoderTime, ForwardTime, BacktrackingTime, NumericalSolverSumTime, additionalTime)\n",
86 "}\n", 102 "}\n",
87 "Load1Log <- function(filename, size) {\n", 103 "Load1Log <- function(filename, size) {\n",
88 " read_csv(filename, col_types = cols(\n", 104 " read_csv(filename, col_types = cols(\n",
@@ -104,7 +120,7 @@
104 }, 120 },
105 { 121 {
106 "cell_type": "code", 122 "cell_type": "code",
107 "execution_count": 13, 123 "execution_count": 3,
108 "metadata": {}, 124 "metadata": {},
109 "outputs": [], 125 "outputs": [],
110 "source": [ 126 "source": [
@@ -130,7 +146,7 @@
130 }, 146 },
131 { 147 {
132 "cell_type": "code", 148 "cell_type": "code",
133 "execution_count": 14, 149 "execution_count": 4,
134 "metadata": {}, 150 "metadata": {},
135 "outputs": [], 151 "outputs": [],
136 "source": [ 152 "source": [
@@ -159,7 +175,7 @@
159 }, 175 },
160 { 176 {
161 "cell_type": "code", 177 "cell_type": "code",
162 "execution_count": 29, 178 "execution_count": 5,
163 "metadata": {}, 179 "metadata": {},
164 "outputs": [ 180 "outputs": [
165 { 181 {
@@ -175,165 +191,134 @@
175 "data": { 191 "data": {
176 "text/html": [ 192 "text/html": [
177 "<table>\n", 193 "<table>\n",
178 "<caption>A tibble: 10 × 16</caption>\n", 194 "<caption>A tibble: 1 × 8</caption>\n",
179 "<thead>\n", 195 "<thead>\n",
180 "\t<tr><th scope=col>n</th><th scope=col>Run</th><th scope=col>preprocessingTime</th><th scope=col>Solution0FoundAt</th><th scope=col>additionalTime</th><th scope=col>TransformationExecutionTime</th><th scope=col>ForwardTime</th><th scope=col>BacktrackingTime</th><th scope=col>GlobalConstraintEvaluationTime</th><th scope=col>FitnessCalculationTime</th><th scope=col>ActivationSelectionTime</th><th scope=col>SolutionCopyTime</th><th scope=col>NumericalSolverSumTime</th><th scope=col>NumericalSolverProblemFormingTime</th><th scope=col>NumericalSolverSolvingTime</th><th scope=col>NumericalSolverInterpretingSolution</th></tr>\n", 196 "\t<tr><th scope=col>n</th><th scope=col>Run</th><th scope=col>preprocessingTime</th><th scope=col>StateCoderTime</th><th scope=col>ForwardTime</th><th scope=col>BacktrackingTime</th><th scope=col>NumericalSolverSumTime</th><th scope=col>additionalTime</th></tr>\n",
181 "\t<tr><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n", 197 "\t<tr><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
182 "</thead>\n", 198 "</thead>\n",
183 "<tbody>\n", 199 "<tbody>\n",
184 "\t<tr><td>20</td><td> 1</td><td>1038</td><td>5248</td><td>3980</td><td>31</td><td>225</td><td>108</td><td>10</td><td>1</td><td>0</td><td>1</td><td>4675</td><td>2239</td><td>2239</td><td>0</td></tr>\n", 200 "\t<tr><td>20</td><td>1</td><td>14735</td><td>994</td><td>1890</td><td>1272</td><td>4391</td><td>14750</td></tr>\n",
185 "\t<tr><td>20</td><td> 2</td><td> 724</td><td>4132</td><td>3628</td><td>20</td><td>155</td><td> 76</td><td> 6</td><td>1</td><td>0</td><td>0</td><td>3780</td><td>2019</td><td>2019</td><td>0</td></tr>\n",
186 "\t<tr><td>20</td><td> 3</td><td> 735</td><td>5329</td><td>4437</td><td>20</td><td>195</td><td>106</td><td> 6</td><td>2</td><td>0</td><td>0</td><td>4876</td><td>2588</td><td>2588</td><td>0</td></tr>\n",
187 "\t<tr><td>20</td><td> 4</td><td> 694</td><td>4261</td><td>4920</td><td>16</td><td>150</td><td> 69</td><td> 5</td><td>1</td><td>0</td><td>0</td><td>3925</td><td>2085</td><td>2085</td><td>0</td></tr>\n",
188 "\t<tr><td>20</td><td> 5</td><td> 888</td><td>5959</td><td>5086</td><td>18</td><td>200</td><td> 93</td><td> 8</td><td>1</td><td>0</td><td>0</td><td>5490</td><td>2946</td><td>2946</td><td>0</td></tr>\n",
189 "\t<tr><td>20</td><td> 6</td><td> 665</td><td>6310</td><td>4320</td><td>17</td><td>195</td><td> 90</td><td> 6</td><td>1</td><td>0</td><td>0</td><td>5870</td><td>3167</td><td>3167</td><td>0</td></tr>\n",
190 "\t<tr><td>20</td><td> 7</td><td> 604</td><td>5024</td><td>5738</td><td>14</td><td>165</td><td> 74</td><td> 4</td><td>1</td><td>0</td><td>0</td><td>4662</td><td>2464</td><td>2464</td><td>0</td></tr>\n",
191 "\t<tr><td>20</td><td> 8</td><td> 589</td><td>5733</td><td>3917</td><td>15</td><td>181</td><td> 81</td><td> 4</td><td>1</td><td>0</td><td>0</td><td>5337</td><td>2827</td><td>2827</td><td>0</td></tr>\n",
192 "\t<tr><td>20</td><td> 9</td><td> 705</td><td>4719</td><td>4259</td><td>14</td><td>156</td><td> 71</td><td> 4</td><td>1</td><td>0</td><td>2</td><td>4367</td><td>2390</td><td>2390</td><td>0</td></tr>\n",
193 "\t<tr><td>20</td><td>10</td><td> 554</td><td>4061</td><td>3990</td><td>13</td><td>141</td><td> 68</td><td> 3</td><td>1</td><td>0</td><td>0</td><td>3741</td><td>1991</td><td>1991</td><td>0</td></tr>\n",
194 "</tbody>\n", 201 "</tbody>\n",
195 "</table>\n" 202 "</table>\n"
196 ], 203 ],
197 "text/latex": [ 204 "text/latex": [
198 "A tibble: 10 × 16\n", 205 "A tibble: 1 × 8\n",
199 "\\begin{tabular}{llllllllllllllll}\n", 206 "\\begin{tabular}{llllllll}\n",
200 " n & Run & preprocessingTime & Solution0FoundAt & additionalTime & TransformationExecutionTime & ForwardTime & BacktrackingTime & GlobalConstraintEvaluationTime & FitnessCalculationTime & ActivationSelectionTime & SolutionCopyTime & NumericalSolverSumTime & NumericalSolverProblemFormingTime & NumericalSolverSolvingTime & NumericalSolverInterpretingSolution\\\\\n", 207 " n & Run & preprocessingTime & StateCoderTime & ForwardTime & BacktrackingTime & NumericalSolverSumTime & additionalTime\\\\\n",
201 " <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n", 208 " <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
202 "\\hline\n", 209 "\\hline\n",
203 "\t 20 & 1 & 1038 & 5248 & 3980 & 31 & 225 & 108 & 10 & 1 & 0 & 1 & 4675 & 2239 & 2239 & 0\\\\\n", 210 "\t 20 & 1 & 14735 & 994 & 1890 & 1272 & 4391 & 14750\\\\\n",
204 "\t 20 & 2 & 724 & 4132 & 3628 & 20 & 155 & 76 & 6 & 1 & 0 & 0 & 3780 & 2019 & 2019 & 0\\\\\n",
205 "\t 20 & 3 & 735 & 5329 & 4437 & 20 & 195 & 106 & 6 & 2 & 0 & 0 & 4876 & 2588 & 2588 & 0\\\\\n",
206 "\t 20 & 4 & 694 & 4261 & 4920 & 16 & 150 & 69 & 5 & 1 & 0 & 0 & 3925 & 2085 & 2085 & 0\\\\\n",
207 "\t 20 & 5 & 888 & 5959 & 5086 & 18 & 200 & 93 & 8 & 1 & 0 & 0 & 5490 & 2946 & 2946 & 0\\\\\n",
208 "\t 20 & 6 & 665 & 6310 & 4320 & 17 & 195 & 90 & 6 & 1 & 0 & 0 & 5870 & 3167 & 3167 & 0\\\\\n",
209 "\t 20 & 7 & 604 & 5024 & 5738 & 14 & 165 & 74 & 4 & 1 & 0 & 0 & 4662 & 2464 & 2464 & 0\\\\\n",
210 "\t 20 & 8 & 589 & 5733 & 3917 & 15 & 181 & 81 & 4 & 1 & 0 & 0 & 5337 & 2827 & 2827 & 0\\\\\n",
211 "\t 20 & 9 & 705 & 4719 & 4259 & 14 & 156 & 71 & 4 & 1 & 0 & 2 & 4367 & 2390 & 2390 & 0\\\\\n",
212 "\t 20 & 10 & 554 & 4061 & 3990 & 13 & 141 & 68 & 3 & 1 & 0 & 0 & 3741 & 1991 & 1991 & 0\\\\\n",
213 "\\end{tabular}\n" 211 "\\end{tabular}\n"
214 ], 212 ],
215 "text/markdown": [ 213 "text/markdown": [
216 "\n", 214 "\n",
217 "A tibble: 10 × 16\n", 215 "A tibble: 1 × 8\n",
218 "\n", 216 "\n",
219 "| n &lt;dbl&gt; | Run &lt;dbl&gt; | preprocessingTime &lt;dbl&gt; | Solution0FoundAt &lt;dbl&gt; | additionalTime &lt;dbl&gt; | TransformationExecutionTime &lt;dbl&gt; | ForwardTime &lt;dbl&gt; | BacktrackingTime &lt;dbl&gt; | GlobalConstraintEvaluationTime &lt;dbl&gt; | FitnessCalculationTime &lt;dbl&gt; | ActivationSelectionTime &lt;dbl&gt; | SolutionCopyTime &lt;dbl&gt; | NumericalSolverSumTime &lt;dbl&gt; | NumericalSolverProblemFormingTime &lt;dbl&gt; | NumericalSolverSolvingTime &lt;dbl&gt; | NumericalSolverInterpretingSolution &lt;dbl&gt; |\n", 217 "| n &lt;dbl&gt; | Run &lt;dbl&gt; | preprocessingTime &lt;dbl&gt; | StateCoderTime &lt;dbl&gt; | ForwardTime &lt;dbl&gt; | BacktrackingTime &lt;dbl&gt; | NumericalSolverSumTime &lt;dbl&gt; | additionalTime &lt;dbl&gt; |\n",
220 "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", 218 "|---|---|---|---|---|---|---|---|\n",
221 "| 20 | 1 | 1038 | 5248 | 3980 | 31 | 225 | 108 | 10 | 1 | 0 | 1 | 4675 | 2239 | 2239 | 0 |\n", 219 "| 20 | 1 | 14735 | 994 | 1890 | 1272 | 4391 | 14750 |\n",
222 "| 20 | 2 | 724 | 4132 | 3628 | 20 | 155 | 76 | 6 | 1 | 0 | 0 | 3780 | 2019 | 2019 | 0 |\n",
223 "| 20 | 3 | 735 | 5329 | 4437 | 20 | 195 | 106 | 6 | 2 | 0 | 0 | 4876 | 2588 | 2588 | 0 |\n",
224 "| 20 | 4 | 694 | 4261 | 4920 | 16 | 150 | 69 | 5 | 1 | 0 | 0 | 3925 | 2085 | 2085 | 0 |\n",
225 "| 20 | 5 | 888 | 5959 | 5086 | 18 | 200 | 93 | 8 | 1 | 0 | 0 | 5490 | 2946 | 2946 | 0 |\n",
226 "| 20 | 6 | 665 | 6310 | 4320 | 17 | 195 | 90 | 6 | 1 | 0 | 0 | 5870 | 3167 | 3167 | 0 |\n",
227 "| 20 | 7 | 604 | 5024 | 5738 | 14 | 165 | 74 | 4 | 1 | 0 | 0 | 4662 | 2464 | 2464 | 0 |\n",
228 "| 20 | 8 | 589 | 5733 | 3917 | 15 | 181 | 81 | 4 | 1 | 0 | 0 | 5337 | 2827 | 2827 | 0 |\n",
229 "| 20 | 9 | 705 | 4719 | 4259 | 14 | 156 | 71 | 4 | 1 | 0 | 2 | 4367 | 2390 | 2390 | 0 |\n",
230 "| 20 | 10 | 554 | 4061 | 3990 | 13 | 141 | 68 | 3 | 1 | 0 | 0 | 3741 | 1991 | 1991 | 0 |\n",
231 "\n" 220 "\n"
232 ], 221 ],
233 "text/plain": [ 222 "text/plain": [
234 " n Run preprocessingTime Solution0FoundAt additionalTime\n", 223 " n Run preprocessingTime StateCoderTime ForwardTime BacktrackingTime\n",
235 "1 20 1 1038 5248 3980 \n", 224 "1 20 1 14735 994 1890 1272 \n",
236 "2 20 2 724 4132 3628 \n", 225 " NumericalSolverSumTime additionalTime\n",
237 "3 20 3 735 5329 4437 \n", 226 "1 4391 14750 "
238 "4 20 4 694 4261 4920 \n",
239 "5 20 5 888 5959 5086 \n",
240 "6 20 6 665 6310 4320 \n",
241 "7 20 7 604 5024 5738 \n",
242 "8 20 8 589 5733 3917 \n",
243 "9 20 9 705 4719 4259 \n",
244 "10 20 10 554 4061 3990 \n",
245 " TransformationExecutionTime ForwardTime BacktrackingTime\n",
246 "1 31 225 108 \n",
247 "2 20 155 76 \n",
248 "3 20 195 106 \n",
249 "4 16 150 69 \n",
250 "5 18 200 93 \n",
251 "6 17 195 90 \n",
252 "7 14 165 74 \n",
253 "8 15 181 81 \n",
254 "9 14 156 71 \n",
255 "10 13 141 68 \n",
256 " GlobalConstraintEvaluationTime FitnessCalculationTime\n",
257 "1 10 1 \n",
258 "2 6 1 \n",
259 "3 6 2 \n",
260 "4 5 1 \n",
261 "5 8 1 \n",
262 "6 6 1 \n",
263 "7 4 1 \n",
264 "8 4 1 \n",
265 "9 4 1 \n",
266 "10 3 1 \n",
267 " ActivationSelectionTime SolutionCopyTime NumericalSolverSumTime\n",
268 "1 0 1 4675 \n",
269 "2 0 0 3780 \n",
270 "3 0 0 4876 \n",
271 "4 0 0 3925 \n",
272 "5 0 0 5490 \n",
273 "6 0 0 5870 \n",
274 "7 0 0 4662 \n",
275 "8 0 0 5337 \n",
276 "9 0 2 4367 \n",
277 "10 0 0 3741 \n",
278 " NumericalSolverProblemFormingTime NumericalSolverSolvingTime\n",
279 "1 2239 2239 \n",
280 "2 2019 2019 \n",
281 "3 2588 2588 \n",
282 "4 2085 2085 \n",
283 "5 2946 2946 \n",
284 "6 3167 3167 \n",
285 "7 2464 2464 \n",
286 "8 2827 2827 \n",
287 "9 2390 2390 \n",
288 "10 1991 1991 \n",
289 " NumericalSolverInterpretingSolution\n",
290 "1 0 \n",
291 "2 0 \n",
292 "3 0 \n",
293 "4 0 \n",
294 "5 0 \n",
295 "6 0 \n",
296 "7 0 \n",
297 "8 0 \n",
298 "9 0 \n",
299 "10 0 "
300 ] 227 ]
301 }, 228 },
302 "metadata": {}, 229 "metadata": {},
303 "output_type": "display_data" 230 "output_type": "display_data"
304 }, 231 },
305 { 232 {
306 "ename": "ERROR", 233 "data": {
307 "evalue": "Error: Problem with `summarise()` input `StateCoderTime`.\n\u001b[31m✖\u001b[39m object 'StateCoderTime' not found\n\u001b[34mℹ\u001b[39m Input `StateCoderTime` is `median(StateCoderTime)/1000`.\n\u001b[34mℹ\u001b[39m The error occurred in group 1: n = 20.\n", 234 "text/html": [
308 "output_type": "error", 235 "<table>\n",
309 "traceback": [ 236 "<caption>A tibble: 1 × 7</caption>\n",
310 "Error: Problem with `summarise()` input `StateCoderTime`.\n\u001b[31m✖\u001b[39m object 'StateCoderTime' not found\n\u001b[34mℹ\u001b[39m Input `StateCoderTime` is `median(StateCoderTime)/1000`.\n\u001b[34mℹ\u001b[39m The error occurred in group 1: n = 20.\nTraceback:\n", 237 "<thead>\n",
311 "1. FamilyTreeRQ2Raw %>% ProcessRQ2", 238 "\t<tr><th scope=col>n</th><th scope=col>preprocessingTime</th><th scope=col>StateCoderTime</th><th scope=col>ForwardTime</th><th scope=col>BacktrackingTime</th><th scope=col>NumericalSolverSumTime</th><th scope=col>additionalTime</th></tr>\n",
312 "2. ProcessRQ2(.)", 239 "\t<tr><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
313 "3. df %>% group_by(n) %>% summarize(.groups = \"drop\", preprocessingTime = median(preprocessingTime)/1000, \n . StateCoderTime = median(StateCoderTime)/1000, ForwardTime = median(ForwardTime)/1000, \n . BacktrackingTime = median(BacktrackingTime)/1000, NumericalSolverSumTime = median(NumericalSolverSumTime)/1000, \n . additionalTime = median(additionalTime)/1000) # at line 8-16 of file <text>", 240 "</thead>\n",
314 "4. summarize(., .groups = \"drop\", preprocessingTime = median(preprocessingTime)/1000, \n . StateCoderTime = median(StateCoderTime)/1000, ForwardTime = median(ForwardTime)/1000, \n . BacktrackingTime = median(BacktrackingTime)/1000, NumericalSolverSumTime = median(NumericalSolverSumTime)/1000, \n . additionalTime = median(additionalTime)/1000)", 241 "<tbody>\n",
315 "5. summarise.grouped_df(., .groups = \"drop\", preprocessingTime = median(preprocessingTime)/1000, \n . StateCoderTime = median(StateCoderTime)/1000, ForwardTime = median(ForwardTime)/1000, \n . BacktrackingTime = median(BacktrackingTime)/1000, NumericalSolverSumTime = median(NumericalSolverSumTime)/1000, \n . additionalTime = median(additionalTime)/1000)", 242 "\t<tr><td>20</td><td>14.735</td><td>0.994</td><td>1.89</td><td>1.272</td><td>4.391</td><td>14.75</td></tr>\n",
316 "6. summarise_cols(.data, ...)", 243 "</tbody>\n",
317 "7. withCallingHandlers({\n . for (i in seq_along(dots)) {\n . quo <- dots[[i]]\n . chunks[[i]] <- mask$eval_all_summarise(quo)\n . mask$across_cache_reset()\n . result_type <- types[[i]] <- withCallingHandlers(vec_ptype_common(!!!chunks[[i]]), \n . vctrs_error_incompatible_type = function(cnd) {\n . abort(class = \"dplyr:::error_summarise_incompatible_combine\", \n . parent = cnd)\n . })\n . if ((is.null(dots_names) || dots_names[i] == \"\") && is.data.frame(result_type)) {\n . map2(seq_along(result_type), names(result_type), \n . function(j, nm) {\n . mask$add(nm, pluck(chunks[[i]], j))\n . })\n . }\n . else {\n . mask$add(auto_named_dots[i], chunks[[i]])\n . }\n . }\n . recycle_info <- .Call(dplyr_summarise_recycle_chunks, chunks, \n . mask$get_rows(), types)\n . chunks <- recycle_info$chunks\n . sizes <- recycle_info$sizes\n . for (i in seq_along(dots)) {\n . result <- vec_c(!!!chunks[[i]], .ptype = types[[i]])\n . if ((is.null(dots_names) || dots_names[i] == \"\") && is.data.frame(result)) {\n . cols[names(result)] <- result\n . }\n . else {\n . cols[[auto_named_dots[i]]] <- result\n . }\n . }\n . }, error = function(e) {\n . local_call_step(dots = dots, .index = i, .fn = \"summarise\", \n . .dot_data = inherits(e, \"rlang_error_data_pronoun_not_found\"))\n . call_step <- peek_call_step()\n . error_name <- call_step$error_name\n . if (inherits(e, \"dplyr:::error_summarise_incompatible_combine\")) {\n . bullets <- c(x = glue(\"Input `{error_name}` must return compatible vectors across groups\", \n . .envir = peek_call_step()), i = cnd_bullet_combine_details(e$parent$x, \n . e$parent$x_arg), i = cnd_bullet_combine_details(e$parent$y, \n . e$parent$y_arg))\n . }\n . else if (inherits(e, \"dplyr:::summarise_unsupported_type\")) {\n . bullets <- c(x = glue(\"Input `{error_name}` must be a vector, not {friendly_type_of(result)}.\", \n . result = e$result), i = cnd_bullet_rowwise_unlist())\n . }\n . else if (inherits(e, \"dplyr:::summarise_incompatible_size\")) {\n . peek_mask()$set_current_group(e$group)\n . bullets <- c(x = glue(\"Input `{error_name}` must be size {or_1(expected_size)}, not {size}.\", \n . expected_size = e$expected_size, size = e$size), \n . i = glue(\"An earlier column had size {expected_size}.\", \n . expected_size = e$expected_size))\n . }\n . else {\n . bullets <- c(x = conditionMessage(e))\n . }\n . bullets <- c(cnd_bullet_header(), bullets, i = cnd_bullet_input_info())\n . if (!inherits(e, \"dplyr:::error_summarise_incompatible_combine\")) {\n . bullets <- c(bullets, i = cnd_bullet_cur_group_label())\n . }\n . abort(bullets, class = \"dplyr_error\")\n . })", 244 "</table>\n"
318 "8. mask$eval_all_summarise(quo)", 245 ],
319 "9. median(StateCoderTime)", 246 "text/latex": [
320 "10. .handleSimpleError(function (e) \n . {\n . local_call_step(dots = dots, .index = i, .fn = \"summarise\", \n . .dot_data = inherits(e, \"rlang_error_data_pronoun_not_found\"))\n . call_step <- peek_call_step()\n . error_name <- call_step$error_name\n . if (inherits(e, \"dplyr:::error_summarise_incompatible_combine\")) {\n . bullets <- c(x = glue(\"Input `{error_name}` must return compatible vectors across groups\", \n . .envir = peek_call_step()), i = cnd_bullet_combine_details(e$parent$x, \n . e$parent$x_arg), i = cnd_bullet_combine_details(e$parent$y, \n . e$parent$y_arg))\n . }\n . else if (inherits(e, \"dplyr:::summarise_unsupported_type\")) {\n . bullets <- c(x = glue(\"Input `{error_name}` must be a vector, not {friendly_type_of(result)}.\", \n . result = e$result), i = cnd_bullet_rowwise_unlist())\n . }\n . else if (inherits(e, \"dplyr:::summarise_incompatible_size\")) {\n . peek_mask()$set_current_group(e$group)\n . bullets <- c(x = glue(\"Input `{error_name}` must be size {or_1(expected_size)}, not {size}.\", \n . expected_size = e$expected_size, size = e$size), \n . i = glue(\"An earlier column had size {expected_size}.\", \n . expected_size = e$expected_size))\n . }\n . else {\n . bullets <- c(x = conditionMessage(e))\n . }\n . bullets <- c(cnd_bullet_header(), bullets, i = cnd_bullet_input_info())\n . if (!inherits(e, \"dplyr:::error_summarise_incompatible_combine\")) {\n . bullets <- c(bullets, i = cnd_bullet_cur_group_label())\n . }\n . abort(bullets, class = \"dplyr_error\")\n . }, \"object 'StateCoderTime' not found\", base::quote(median(StateCoderTime)))", 247 "A tibble: 1 × 7\n",
321 "11. h(simpleError(msg, call))", 248 "\\begin{tabular}{lllllll}\n",
322 "12. abort(bullets, class = \"dplyr_error\")", 249 " n & preprocessingTime & StateCoderTime & ForwardTime & BacktrackingTime & NumericalSolverSumTime & additionalTime\\\\\n",
323 "13. signal_abort(cnd)" 250 " <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
324 ] 251 "\\hline\n",
252 "\t 20 & 14.735 & 0.994 & 1.89 & 1.272 & 4.391 & 14.75\\\\\n",
253 "\\end{tabular}\n"
254 ],
255 "text/markdown": [
256 "\n",
257 "A tibble: 1 × 7\n",
258 "\n",
259 "| n &lt;dbl&gt; | preprocessingTime &lt;dbl&gt; | StateCoderTime &lt;dbl&gt; | ForwardTime &lt;dbl&gt; | BacktrackingTime &lt;dbl&gt; | NumericalSolverSumTime &lt;dbl&gt; | additionalTime &lt;dbl&gt; |\n",
260 "|---|---|---|---|---|---|---|\n",
261 "| 20 | 14.735 | 0.994 | 1.89 | 1.272 | 4.391 | 14.75 |\n",
262 "\n"
263 ],
264 "text/plain": [
265 " n preprocessingTime StateCoderTime ForwardTime BacktrackingTime\n",
266 "1 20 14.735 0.994 1.89 1.272 \n",
267 " NumericalSolverSumTime additionalTime\n",
268 "1 4.391 14.75 "
269 ]
270 },
271 "metadata": {},
272 "output_type": "display_data"
273 },
274 {
275 "data": {
276 "text/html": [
277 "14.735"
278 ],
279 "text/latex": [
280 "14.735"
281 ],
282 "text/markdown": [
283 "14.735"
284 ],
285 "text/plain": [
286 "[1] 14.735"
287 ]
288 },
289 "metadata": {},
290 "output_type": "display_data"
291 },
292 {
293 "data": {
294 "image/png": 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BbSOesTElQL6SUs/OSU9sMzF0+fdt4i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\nIUGAkCBASBAgJAj4/xrea7N1kYKMAAAAAElFTkSuQmCC",
295 "text/plain": [
296 "plot without title"
297 ]
298 },
299 "metadata": {
300 "image/png": {
301 "height": 420,
302 "width": 420
303 },
304 "text/plain": {
305 "height": 420,
306 "width": 420
307 }
308 },
309 "output_type": "display_data"
325 } 310 }
326 ], 311 ],
327 "source": [ 312 "source": [
328 "FamilyTreeRQ2Raw <- rbind(\n", 313 "FamilyTreeRQ2Raw <- rbind(\n",
329 "# Load10Log(\"measurements/stats/FamilyTree//size010to-1r10n10rt300nsdrealstats_06-0249.csv\", 10),\n", 314 "# Load10Log(\"measurements/stats/FamilyTree//size010to-1r10n10rt300nsdrealstats_06-0249.csv\", 10),\n",
330 " Load10Log(\"measurements/stats/FamilyTree//size020to-1r10n10rt3600nsz3stats_06-0205.csv\", 20)\n", 315 " Load10Log(\"measurements1/stats.csv\", 20)\n",
331 ")\n", 316 ")\n",
332 "FamilyTreeRQ2Raw\n", 317 "FamilyTreeRQ2Raw\n",
333 "FamilyTreeRQ2 <- FamilyTreeRQ2Raw %>% ProcessRQ2\n", 318 "FamilyTreeRQ2 <- FamilyTreeRQ2Raw %>% ProcessRQ2\n",
334 "FamilyTreeRQ2\n", 319 "FamilyTreeRQ2\n",
335 "# median(FamilyTreeRQ2Raw$preprocessingTime) / 1000.0\n", 320 "median(FamilyTreeRQ2Raw$preprocessingTime) / 1000.0\n",
336 "# FamilyTreeRQ2 %>% RQ2Plot('FamilyTree')" 321 "FamilyTreeRQ2 %>% RQ2Plot('FamilyTree')"
337 ] 322 ]
338 }, 323 },
339 { 324 {
@@ -356,7 +341,7 @@
356 "mimetype": "text/x-r-source", 341 "mimetype": "text/x-r-source",
357 "name": "R", 342 "name": "R",
358 "pygments_lexer": "r", 343 "pygments_lexer": "r",
359 "version": "4.0.3" 344 "version": "4.0.0"
360 } 345 }
361 }, 346 },
362 "nbformat": 4, 347 "nbformat": 4,
generated by cgit v1.2.3-54-g00ecf (git 2.45.0) at 2024-05-06 18:37:09 +0000