001 package net.sf.cpsolver.coursett; 002 003 import java.io.File; 004 import java.io.FileWriter; 005 import java.io.IOException; 006 import java.io.PrintWriter; 007 import java.text.DecimalFormat; 008 import java.util.ArrayList; 009 import java.util.Collection; 010 import java.util.Date; 011 import java.util.HashSet; 012 import java.util.HashMap; 013 import java.util.List; 014 import java.util.Locale; 015 import java.util.Map; 016 import java.util.TreeSet; 017 018 import net.sf.cpsolver.coursett.constraint.DepartmentSpreadConstraint; 019 import net.sf.cpsolver.coursett.constraint.GroupConstraint; 020 import net.sf.cpsolver.coursett.constraint.InstructorConstraint; 021 import net.sf.cpsolver.coursett.constraint.JenrlConstraint; 022 import net.sf.cpsolver.coursett.constraint.RoomConstraint; 023 import net.sf.cpsolver.coursett.constraint.SpreadConstraint; 024 import net.sf.cpsolver.coursett.criteria.BackToBackInstructorPreferences; 025 import net.sf.cpsolver.coursett.criteria.BrokenTimePatterns; 026 import net.sf.cpsolver.coursett.criteria.DepartmentBalancingPenalty; 027 import net.sf.cpsolver.coursett.criteria.DistributionPreferences; 028 import net.sf.cpsolver.coursett.criteria.Perturbations; 029 import net.sf.cpsolver.coursett.criteria.RoomPreferences; 030 import net.sf.cpsolver.coursett.criteria.SameSubpartBalancingPenalty; 031 import net.sf.cpsolver.coursett.criteria.StudentCommittedConflict; 032 import net.sf.cpsolver.coursett.criteria.StudentConflict; 033 import net.sf.cpsolver.coursett.criteria.StudentDistanceConflict; 034 import net.sf.cpsolver.coursett.criteria.StudentHardConflict; 035 import net.sf.cpsolver.coursett.criteria.TimePreferences; 036 import net.sf.cpsolver.coursett.criteria.TooBigRooms; 037 import net.sf.cpsolver.coursett.criteria.UselessHalfHours; 038 import net.sf.cpsolver.coursett.heuristics.UniversalPerturbationsCounter; 039 import net.sf.cpsolver.coursett.model.Lecture; 040 import net.sf.cpsolver.coursett.model.Placement; 041 import net.sf.cpsolver.coursett.model.RoomLocation; 042 import net.sf.cpsolver.coursett.model.Student; 043 import net.sf.cpsolver.coursett.model.TimeLocation; 044 import net.sf.cpsolver.coursett.model.TimetableModel; 045 import net.sf.cpsolver.ifs.extension.ConflictStatistics; 046 import net.sf.cpsolver.ifs.extension.Extension; 047 import net.sf.cpsolver.ifs.extension.MacPropagation; 048 import net.sf.cpsolver.ifs.model.Constraint; 049 import net.sf.cpsolver.ifs.solution.Solution; 050 import net.sf.cpsolver.ifs.solution.SolutionListener; 051 import net.sf.cpsolver.ifs.solver.Solver; 052 import net.sf.cpsolver.ifs.util.DataProperties; 053 import net.sf.cpsolver.ifs.util.Progress; 054 import net.sf.cpsolver.ifs.util.ProgressWriter; 055 import net.sf.cpsolver.ifs.util.ToolBox; 056 057 /** 058 * A main class for running of the solver from command line. <br> 059 * <br> 060 * Usage:<br> 061 * java -Xmx1024m -jar coursett1.1.jar config.properties [input_file] 062 * [output_folder]<br> 063 * <br> 064 * See http://www.unitime.org for example configuration files and banchmark data 065 * sets.<br> 066 * <br> 067 * 068 * The test does the following steps: 069 * <ul> 070 * <li>Provided property file is loaded (see {@link DataProperties}). 071 * <li>Output folder is created (General.Output property) and loggings is setup 072 * (using log4j). 073 * <li>Input data are loaded (calling {@link TimetableLoader#load()}). 074 * <li>Solver is executed (see {@link Solver}). 075 * <li>Resultant solution is saved (calling {@link TimetableSaver#save()}, when 076 * General.Save property is set to true. 077 * </ul> 078 * Also, a log and a CSV (comma separated text file) is created in the output 079 * folder. 080 * 081 * @version CourseTT 1.2 (University Course Timetabling)<br> 082 * Copyright (C) 2006 - 2010 Tomas Muller<br> 083 * <a href="mailto:muller@unitime.org">muller@unitime.org</a><br> 084 * <a href="http://muller.unitime.org">http://muller.unitime.org</a><br> 085 * <br> 086 * This library is free software; you can redistribute it and/or modify 087 * it under the terms of the GNU Lesser General Public License as 088 * published by the Free Software Foundation; either version 3 of the 089 * License, or (at your option) any later version. <br> 090 * <br> 091 * This library is distributed in the hope that it will be useful, but 092 * WITHOUT ANY WARRANTY; without even the implied warranty of 093 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU 094 * Lesser General Public License for more details. <br> 095 * <br> 096 * You should have received a copy of the GNU Lesser General Public 097 * License along with this library; if not see 098 * <a href='http://www.gnu.org/licenses/'>http://www.gnu.org/licenses/</a>. 099 */ 100 101 public class Test implements SolutionListener<Lecture, Placement> { 102 private static java.text.SimpleDateFormat sDateFormat = new java.text.SimpleDateFormat("yyMMdd_HHmmss", 103 java.util.Locale.US); 104 private static java.text.DecimalFormat sDoubleFormat = new java.text.DecimalFormat("0.000", 105 new java.text.DecimalFormatSymbols(Locale.US)); 106 private static org.apache.log4j.Logger sLogger = org.apache.log4j.Logger.getLogger(Test.class); 107 108 private PrintWriter iCSVFile = null; 109 110 private MacPropagation<Lecture, Placement> iProp = null; 111 private ConflictStatistics<Lecture, Placement> iStat = null; 112 private int iLastNotified = -1; 113 114 private boolean initialized = false; 115 private Solver<Lecture, Placement> iSolver = null; 116 117 /** Current version */ 118 public static String getVersionString() { 119 return "IFS Timetable Solver v" + Constants.getVersion() + " build" + Constants.getBuildNumber() + ", " 120 + Constants.getReleaseDate(); 121 } 122 123 /** Solver initialization */ 124 public void init(Solver<Lecture, Placement> solver) { 125 iSolver = solver; 126 solver.currentSolution().addSolutionListener(this); 127 } 128 129 /** 130 * Return name of the class that is used for loading the data. This class 131 * needs to extend class {@link TimetableLoader}. It can be also defined in 132 * configuration, using TimetableLoader property. 133 **/ 134 private String getTimetableLoaderClass(DataProperties properties) { 135 String loader = properties.getProperty("TimetableLoader"); 136 if (loader != null) 137 return loader; 138 if (properties.getPropertyInt("General.InputVersion", -1) >= 0) 139 return "org.unitime.timetable.solver.TimetableDatabaseLoader"; 140 else 141 return "net.sf.cpsolver.coursett.TimetableXMLLoader"; 142 } 143 144 /** 145 * Return name of the class that is used for loading the data. This class 146 * needs to extend class {@link TimetableSaver}. It can be also defined in 147 * configuration, using TimetableSaver property. 148 **/ 149 private String getTimetableSaverClass(DataProperties properties) { 150 String saver = properties.getProperty("TimetableSaver"); 151 if (saver != null) 152 return saver; 153 if (properties.getPropertyInt("General.InputVersion", -1) >= 0) 154 return "org.unitime.timetable.solver.TimetableDatabaseSaver"; 155 else 156 return "net.sf.cpsolver.coursett.TimetableXMLSaver"; 157 } 158 159 /** 160 * Solver Test 161 * 162 * @param args 163 * command line arguments 164 */ 165 public Test(String[] args) { 166 try { 167 DataProperties properties = ToolBox.loadProperties(new java.io.File(args[0])); 168 properties.putAll(System.getProperties()); 169 properties.setProperty("General.Output", properties.getProperty("General.Output", ".") + File.separator 170 + (sDateFormat.format(new Date()))); 171 if (args.length > 1) 172 properties.setProperty("General.Input", args[1]); 173 if (args.length > 2) 174 properties.setProperty("General.Output", args[2] + File.separator + (sDateFormat.format(new Date()))); 175 System.out.println("Output folder: " + properties.getProperty("General.Output")); 176 ToolBox.configureLogging(properties.getProperty("General.Output"), properties, false, false); 177 178 File outDir = new File(properties.getProperty("General.Output", ".")); 179 outDir.mkdirs(); 180 181 Solver<Lecture, Placement> solver = new TimetableSolver(properties); 182 TimetableModel model = new TimetableModel(properties); 183 Progress.getInstance(model).addProgressListener(new ProgressWriter(System.out)); 184 185 TimetableLoader loader = (TimetableLoader) Class.forName(getTimetableLoaderClass(properties)) 186 .getConstructor(new Class[] { TimetableModel.class }).newInstance(new Object[] { model }); 187 loader.load(); 188 189 solver.setInitalSolution(model); 190 init(solver); 191 192 iCSVFile = new PrintWriter(new FileWriter(outDir.toString() + File.separator + "stat.csv")); 193 String colSeparator = ";"; 194 iCSVFile.println("Assigned" 195 + colSeparator 196 + "Assigned[%]" 197 + colSeparator 198 + "Time[min]" 199 + colSeparator 200 + "Iter" 201 + colSeparator 202 + "IterYield[%]" 203 + colSeparator 204 + "Speed[it/s]" 205 + colSeparator 206 + "AddedPert" 207 + colSeparator 208 + "AddedPert[%]" 209 + colSeparator 210 + "HardStudentConf" 211 + colSeparator 212 + "StudentConf" 213 + colSeparator 214 + "DistStudentConf" 215 + colSeparator 216 + "CommitStudentConf" 217 + colSeparator 218 + "TimePref" 219 + colSeparator 220 + "RoomPref" 221 + colSeparator 222 + "DistInstrPref" 223 + colSeparator 224 + "GrConstPref" 225 + colSeparator 226 + "UselessHalfHours" 227 + colSeparator 228 + "BrokenTimePat" 229 + colSeparator 230 + "TooBigRooms" 231 + (iProp != null ? colSeparator + "GoodVars" + colSeparator + "GoodVars[%]" + colSeparator 232 + "GoodVals" + colSeparator + "GoodVals[%]" : "")); 233 iCSVFile.flush(); 234 235 solver.start(); 236 solver.getSolverThread().join(); 237 238 long lastIt = solver.lastSolution().getIteration(); 239 double lastTime = solver.lastSolution().getTime(); 240 241 if (solver.lastSolution().getBestInfo() != null) { 242 Solution<Lecture, Placement> bestSolution = solver.lastSolution();// .cloneBest(); 243 sLogger.info("Last solution: " + ToolBox.dict2string(bestSolution.getInfo(), 1)); 244 sLogger.info("Best solution (before restore): " + ToolBox.dict2string(bestSolution.getBestInfo(), 1)); 245 bestSolution.restoreBest(); 246 sLogger.info("Best solution: " + ToolBox.dict2string(bestSolution.getInfo(), 1)); 247 if (properties.getPropertyBoolean("General.SwitchStudents", true)) 248 ((TimetableModel) bestSolution.getModel()).switchStudents(); 249 sLogger.info("Best solution: " + ToolBox.dict2string(bestSolution.getInfo(), 1)); 250 saveOutputCSV(bestSolution, new File(outDir, "output.csv")); 251 252 printSomeStuff(bestSolution); 253 254 if (properties.getPropertyBoolean("General.Save", false)) { 255 TimetableSaver saver = (TimetableSaver) Class.forName(getTimetableSaverClass(properties)) 256 .getConstructor(new Class[] { Solver.class }).newInstance(new Object[] { solver }); 257 if ((saver instanceof TimetableXMLSaver) && properties.getProperty("General.SolutionFile") != null) 258 ((TimetableXMLSaver) saver).save(new File(properties.getProperty("General.SolutionFile"))); 259 else 260 saver.save(); 261 } 262 } else 263 sLogger.info("Last solution:" + ToolBox.dict2string(solver.lastSolution().getInfo(), 1)); 264 265 iCSVFile.close(); 266 267 sLogger.info("Total number of done iteration steps:" + lastIt); 268 sLogger.info("Achieved speed: " + sDoubleFormat.format(lastIt / lastTime) + " iterations/second"); 269 270 PrintWriter out = new PrintWriter(new FileWriter(new File(outDir, "solver.html"))); 271 out.println("<html><title>Save log</title><body>"); 272 out.println(Progress.getInstance(model).getHtmlLog(Progress.MSGLEVEL_TRACE, true)); 273 out.println("</html>"); 274 out.flush(); 275 out.close(); 276 Progress.removeInstance(model); 277 278 if (iStat != null) { 279 PrintWriter cbs = new PrintWriter(new FileWriter(new File(outDir, "cbs.txt"))); 280 cbs.println(iStat.toString()); 281 cbs.flush(); cbs.close(); 282 } 283 284 System.out.println("Unassigned variables: " + model.nrUnassignedVariables()); 285 System.exit(model.nrUnassignedVariables()); 286 } catch (Throwable t) { 287 sLogger.error("Test failed.", t); 288 } 289 } 290 291 public static void main(String[] args) { 292 new Test(args); 293 } 294 295 @Override 296 public void bestCleared(Solution<Lecture, Placement> solution) { 297 } 298 299 @Override 300 public void bestRestored(Solution<Lecture, Placement> solution) { 301 } 302 303 @Override 304 public void bestSaved(Solution<Lecture, Placement> solution) { 305 notify(solution); 306 } 307 308 @Override 309 public void getInfo(Solution<Lecture, Placement> solution, Map<String, String> info) { 310 } 311 312 @Override 313 public void getInfo(Solution<Lecture, Placement> solution, Map<String, String> info, Collection<Lecture> variables) { 314 } 315 316 @Override 317 public void solutionUpdated(Solution<Lecture, Placement> solution) { 318 if (!initialized) { 319 for (Extension<Lecture, Placement> extension : iSolver.getExtensions()) { 320 if (MacPropagation.class.isInstance(extension)) 321 iProp = (MacPropagation<Lecture, Placement>) extension; 322 if (ConflictStatistics.class.isInstance(extension)) { 323 iStat = (ConflictStatistics<Lecture, Placement>) extension; 324 } 325 } 326 } 327 } 328 329 /** Add a line into the output CSV file when a enw best solution is found. */ 330 public void notify(Solution<Lecture, Placement> solution) { 331 String colSeparator = ";"; 332 if (!solution.getModel().unassignedVariables().isEmpty() 333 && iLastNotified == solution.getModel().assignedVariables().size()) 334 return; 335 iLastNotified = solution.getModel().assignedVariables().size(); 336 if (iCSVFile != null) { 337 TimetableModel model = (TimetableModel) solution.getModel(); 338 iCSVFile.print(model.variables().size() - model.unassignedVariables().size()); 339 iCSVFile.print(colSeparator); 340 iCSVFile.print(sDoubleFormat.format(100.0 * (model.variables().size() - model.unassignedVariables().size()) 341 / model.variables().size())); 342 iCSVFile.print(colSeparator); 343 iCSVFile.print(sDoubleFormat.format((solution.getTime()) / 60.0)); 344 iCSVFile.print(colSeparator); 345 iCSVFile.print(solution.getIteration()); 346 iCSVFile.print(colSeparator); 347 iCSVFile.print(sDoubleFormat.format(100.0 * (model.variables().size() - model.unassignedVariables().size()) 348 / solution.getIteration())); 349 iCSVFile.print(colSeparator); 350 iCSVFile.print(sDoubleFormat.format((solution.getIteration()) / solution.getTime())); 351 iCSVFile.print(colSeparator); 352 iCSVFile.print(model.perturbVariables().size()); 353 iCSVFile.print(colSeparator); 354 iCSVFile.print(sDoubleFormat.format(100.0 * model.perturbVariables().size() / model.variables().size())); 355 iCSVFile.print(colSeparator); 356 iCSVFile.print(Math.round(solution.getModel().getCriterion(StudentHardConflict.class).getValue())); 357 iCSVFile.print(colSeparator); 358 iCSVFile.print(Math.round(solution.getModel().getCriterion(StudentConflict.class).getValue())); 359 iCSVFile.print(colSeparator); 360 iCSVFile.print(Math.round(solution.getModel().getCriterion(StudentDistanceConflict.class).getValue())); 361 iCSVFile.print(colSeparator); 362 iCSVFile.print(Math.round(solution.getModel().getCriterion(StudentCommittedConflict.class).getValue())); 363 iCSVFile.print(colSeparator); 364 iCSVFile.print(sDoubleFormat.format(solution.getModel().getCriterion(TimePreferences.class).getValue())); 365 iCSVFile.print(colSeparator); 366 iCSVFile.print(Math.round(solution.getModel().getCriterion(RoomPreferences.class).getValue())); 367 iCSVFile.print(colSeparator); 368 iCSVFile.print(Math.round(solution.getModel().getCriterion(BackToBackInstructorPreferences.class).getValue())); 369 iCSVFile.print(colSeparator); 370 iCSVFile.print(Math.round(solution.getModel().getCriterion(DistributionPreferences.class).getValue())); 371 iCSVFile.print(colSeparator); 372 iCSVFile.print(Math.round(solution.getModel().getCriterion(UselessHalfHours.class).getValue())); 373 iCSVFile.print(colSeparator); 374 iCSVFile.print(Math.round(solution.getModel().getCriterion(BrokenTimePatterns.class).getValue())); 375 iCSVFile.print(colSeparator); 376 iCSVFile.print(Math.round(solution.getModel().getCriterion(TooBigRooms.class).getValue())); 377 if (iProp != null) { 378 if (solution.getModel().unassignedVariables().size() > 0) { 379 int goodVariables = 0; 380 long goodValues = 0; 381 long allValues = 0; 382 for (Lecture variable : ((TimetableModel) solution.getModel()).unassignedVariables()) { 383 goodValues += iProp.goodValues(variable).size(); 384 allValues += variable.values().size(); 385 if (!iProp.goodValues(variable).isEmpty()) 386 goodVariables++; 387 } 388 iCSVFile.print(colSeparator); 389 iCSVFile.print(goodVariables); 390 iCSVFile.print(colSeparator); 391 iCSVFile.print(sDoubleFormat.format(100.0 * goodVariables 392 / solution.getModel().unassignedVariables().size())); 393 iCSVFile.print(colSeparator); 394 iCSVFile.print(goodValues); 395 iCSVFile.print(colSeparator); 396 iCSVFile.print(sDoubleFormat.format(100.0 * goodValues / allValues)); 397 } else { 398 iCSVFile.print(colSeparator); 399 iCSVFile.print(colSeparator); 400 iCSVFile.print(colSeparator); 401 iCSVFile.print(colSeparator); 402 } 403 } 404 iCSVFile.println(); 405 iCSVFile.flush(); 406 } 407 } 408 409 /** Print room utilization */ 410 public static void printRoomInfo(PrintWriter pw, TimetableModel model) { 411 pw.println("Room info:"); 412 pw.println("id, name, size, used_day, used_total"); 413 for (RoomConstraint rc : model.getRoomConstraints()) { 414 int used_day = 0; 415 int used_total = 0; 416 for (int day = 0; day < Constants.NR_DAYS_WEEK; day++) { 417 for (int time = 0; time < Constants.SLOTS_PER_DAY_NO_EVENINGS; time++) { 418 if (!rc.getResource(day * Constants.SLOTS_PER_DAY + time + Constants.DAY_SLOTS_FIRST).isEmpty()) 419 used_day++; 420 } 421 } 422 for (int day = 0; day < Constants.DAY_CODES.length; day++) { 423 for (int time = 0; time < Constants.SLOTS_PER_DAY; time++) { 424 if (!rc.getResource(day * Constants.SLOTS_PER_DAY + time).isEmpty()) 425 used_total++; 426 } 427 } 428 pw.println(rc.getResourceId() + "," + rc.getName() + "," + rc.getCapacity() + "," + used_day + "," 429 + used_total); 430 } 431 } 432 433 /** Class information */ 434 public static void printClassInfo(PrintWriter pw, TimetableModel model) { 435 pw.println("Class info:"); 436 pw.println("id, name, min_class_limit, max_class_limit, room2limit_ratio, half_hours"); 437 for (Lecture lecture : model.variables()) { 438 TimeLocation time = lecture.timeLocations().get(0); 439 pw.println(lecture.getClassId() + "," + lecture.getName() + "," + lecture.minClassLimit() + "," 440 + lecture.maxClassLimit() + "," + lecture.roomToLimitRatio() + "," 441 + (time.getNrSlotsPerMeeting() * time.getNrMeetings())); 442 } 443 } 444 445 /** Create info.txt with some more information about the problem */ 446 public static void printSomeStuff(Solution<Lecture, Placement> solution) throws IOException { 447 TimetableModel model = (TimetableModel) solution.getModel(); 448 File outDir = new File(model.getProperties().getProperty("General.Output", ".")); 449 PrintWriter pw = new PrintWriter(new FileWriter(outDir.toString() + File.separator + "info.txt")); 450 PrintWriter pwi = new PrintWriter(new FileWriter(outDir.toString() + File.separator + "info.csv")); 451 String name = new File(model.getProperties().getProperty("General.Input")).getName(); 452 pwi.println("Instance," + name.substring(0, name.lastIndexOf('.'))); 453 pw.println("Solution info: " + ToolBox.dict2string(solution.getInfo(), 1)); 454 pw.println("Bounds: " + ToolBox.dict2string(model.getBounds(), 1)); 455 Map<String, String> info = solution.getInfo(); 456 for (String key : new TreeSet<String>(info.keySet())) { 457 if (key.equals("Memory usage")) 458 continue; 459 if (key.equals("Iteration")) 460 continue; 461 if (key.equals("Time")) 462 continue; 463 String value = info.get(key); 464 if (value.indexOf(' ') > 0) 465 value = value.substring(0, value.indexOf(' ')); 466 pwi.println(key + "," + value); 467 } 468 printRoomInfo(pw, model); 469 printClassInfo(pw, model); 470 long nrValues = 0; 471 long nrTimes = 0; 472 long nrRooms = 0; 473 double totalMaxNormTimePref = 0.0; 474 double totalMinNormTimePref = 0.0; 475 double totalNormTimePref = 0.0; 476 int totalMaxRoomPref = 0; 477 int totalMinRoomPref = 0; 478 int totalRoomPref = 0; 479 long nrStudentEnrls = 0; 480 long nrInevitableStudentConflicts = 0; 481 long nrJenrls = 0; 482 int nrHalfHours = 0; 483 int nrMeetings = 0; 484 int totalMinLimit = 0; 485 int totalMaxLimit = 0; 486 long nrReqRooms = 0; 487 int nrSingleValueVariables = 0; 488 int nrSingleTimeVariables = 0; 489 int nrSingleRoomVariables = 0; 490 long totalAvailableMinRoomSize = 0; 491 long totalAvailableMaxRoomSize = 0; 492 long totalRoomSize = 0; 493 long nrOneOrMoreRoomVariables = 0; 494 long nrOneRoomVariables = 0; 495 HashSet<Student> students = new HashSet<Student>(); 496 HashSet<Long> offerings = new HashSet<Long>(); 497 HashSet<Long> configs = new HashSet<Long>(); 498 HashSet<Long> subparts = new HashSet<Long>(); 499 int[] sizeLimits = new int[] { 0, 25, 50, 75, 100, 150, 200, 400 }; 500 int[] nrRoomsOfSize = new int[sizeLimits.length]; 501 int[] minRoomOfSize = new int[sizeLimits.length]; 502 int[] maxRoomOfSize = new int[sizeLimits.length]; 503 int[] totalUsedSlots = new int[sizeLimits.length]; 504 int[] totalUsedSeats = new int[sizeLimits.length]; 505 int[] totalUsedSeats2 = new int[sizeLimits.length]; 506 for (Lecture lect : model.variables()) { 507 if (lect.getConfiguration() != null) { 508 offerings.add(lect.getConfiguration().getOfferingId()); 509 configs.add(lect.getConfiguration().getConfigId()); 510 } 511 subparts.add(lect.getSchedulingSubpartId()); 512 nrStudentEnrls += (lect.students() == null ? 0 : lect.students().size()); 513 students.addAll(lect.students()); 514 nrValues += lect.values().size(); 515 nrReqRooms += lect.getNrRooms(); 516 nrTimes += lect.timeLocations().size(); 517 nrRooms += lect.roomLocations().size(); 518 totalMinLimit += lect.minClassLimit(); 519 totalMaxLimit += lect.maxClassLimit(); 520 if (!lect.values().isEmpty()) { 521 Placement p = lect.values().get(0); 522 nrMeetings += p.getTimeLocation().getNrMeetings(); 523 nrHalfHours += p.getTimeLocation().getNrMeetings() * p.getTimeLocation().getNrSlotsPerMeeting(); 524 totalMaxNormTimePref += lect.getMinMaxTimePreference()[1]; 525 totalMinNormTimePref += lect.getMinMaxTimePreference()[0]; 526 totalNormTimePref += Math.abs(lect.getMinMaxTimePreference()[1] - lect.getMinMaxTimePreference()[0]); 527 totalMaxRoomPref += lect.getMinMaxRoomPreference()[1]; 528 totalMinRoomPref += lect.getMinMaxRoomPreference()[0]; 529 totalRoomPref += Math.abs(lect.getMinMaxRoomPreference()[1] - lect.getMinMaxRoomPreference()[0]); 530 TimeLocation time = p.getTimeLocation(); 531 boolean hasRoomConstraint = false; 532 for (RoomLocation roomLocation : lect.roomLocations()) { 533 if (roomLocation.getRoomConstraint().getConstraint()) 534 hasRoomConstraint = true; 535 } 536 if (hasRoomConstraint && lect.getNrRooms() > 0) { 537 for (int d = 0; d < Constants.NR_DAYS_WEEK; d++) { 538 if ((time.getDayCode() & Constants.DAY_CODES[d]) == 0) 539 continue; 540 for (int t = Math.max(time.getStartSlot(), Constants.DAY_SLOTS_FIRST); t <= Math.min(time 541 .getStartSlot() 542 + time.getLength() - 1, Constants.DAY_SLOTS_LAST); t++) { 543 for (int l = 0; l < sizeLimits.length; l++) { 544 if (sizeLimits[l] <= lect.minRoomSize()) { 545 totalUsedSlots[l] += lect.getNrRooms(); 546 totalUsedSeats[l] += lect.classLimit(); 547 totalUsedSeats2[l] += lect.minRoomSize() * lect.getNrRooms(); 548 } 549 } 550 } 551 } 552 } 553 } 554 if (lect.values().size() == 1) { 555 nrSingleValueVariables++; 556 } 557 if (lect.timeLocations().size() == 1) { 558 nrSingleTimeVariables++; 559 } 560 if (lect.roomLocations().size() == 1) { 561 nrSingleRoomVariables++; 562 } 563 if (lect.getNrRooms() == 1) { 564 nrOneRoomVariables++; 565 } 566 if (lect.getNrRooms() > 0) { 567 nrOneOrMoreRoomVariables++; 568 } 569 if (!lect.roomLocations().isEmpty()) { 570 int minRoomSize = Integer.MAX_VALUE; 571 int maxRoomSize = Integer.MIN_VALUE; 572 for (RoomLocation rl : lect.roomLocations()) { 573 minRoomSize = Math.min(minRoomSize, rl.getRoomSize()); 574 maxRoomSize = Math.max(maxRoomSize, rl.getRoomSize()); 575 totalRoomSize += rl.getRoomSize(); 576 } 577 totalAvailableMinRoomSize += minRoomSize; 578 totalAvailableMaxRoomSize += maxRoomSize; 579 } 580 } 581 for (JenrlConstraint jenrl : model.getJenrlConstraints()) { 582 nrJenrls += jenrl.getJenrl(); 583 if ((jenrl.first()).timeLocations().size() == 1 && (jenrl.second()).timeLocations().size() == 1) { 584 TimeLocation t1 = jenrl.first().timeLocations().get(0); 585 TimeLocation t2 = jenrl.second().timeLocations().get(0); 586 if (t1.hasIntersection(t2)) { 587 nrInevitableStudentConflicts += jenrl.getJenrl(); 588 pw.println("Inevitable " + jenrl.getJenrl() + " student conflicts between " + jenrl.first() + " " 589 + t1 + " and " + jenrl.second() + " " + t2); 590 } else if (jenrl.first().values().size() == 1 && jenrl.second().values().size() == 1) { 591 Placement p1 = jenrl.first().values().get(0); 592 Placement p2 = jenrl.second().values().get(0); 593 if (JenrlConstraint.isInConflict(p1, p2, ((TimetableModel)p1.variable().getModel()).getDistanceMetric())) { 594 nrInevitableStudentConflicts += jenrl.getJenrl(); 595 pw.println("Inevitable " + jenrl.getJenrl() 596 + (p1.getTimeLocation().hasIntersection(p2.getTimeLocation()) ? "" : " distance") 597 + " student conflicts between " + p1 + " and " + p2); 598 } 599 } 600 } 601 } 602 int totalCommitedPlacements = 0; 603 for (Student student : students) { 604 if (student.getCommitedPlacements() != null) 605 totalCommitedPlacements += student.getCommitedPlacements().size(); 606 } 607 pw.println("Total number of classes: " + model.variables().size()); 608 pwi.println("Number of classes," + model.variables().size()); 609 pw.println("Total number of instructional offerings: " + offerings.size() + " (" 610 + sDoubleFormat.format(100.0 * offerings.size() / model.variables().size()) + "%)"); 611 // pwi.println("Number of instructional offerings,"+offerings.size()); 612 pw.println("Total number of configurations: " + configs.size() + " (" 613 + sDoubleFormat.format(100.0 * configs.size() / model.variables().size()) + "%)"); 614 pw.println("Total number of scheduling subparts: " + subparts.size() + " (" 615 + sDoubleFormat.format(100.0 * subparts.size() / model.variables().size()) + "%)"); 616 // pwi.println("Number of scheduling subparts,"+subparts.size()); 617 pw.println("Average number classes per subpart: " 618 + sDoubleFormat.format(1.0 * model.variables().size() / subparts.size())); 619 pwi.println("Avg. classes per instruction," 620 + sDoubleFormat.format(1.0 * model.variables().size() / subparts.size())); 621 pw.println("Average number classes per config: " 622 + sDoubleFormat.format(1.0 * model.variables().size() / configs.size())); 623 pw.println("Average number classes per offering: " 624 + sDoubleFormat.format(1.0 * model.variables().size() / offerings.size())); 625 pw.println("Total number of classes with only one value: " + nrSingleValueVariables + " (" 626 + sDoubleFormat.format(100.0 * nrSingleValueVariables / model.variables().size()) + "%)"); 627 pw.println("Total number of classes with only one time: " + nrSingleTimeVariables + " (" 628 + sDoubleFormat.format(100.0 * nrSingleTimeVariables / model.variables().size()) + "%)"); 629 pw.println("Total number of classes with only one room: " + nrSingleRoomVariables + " (" 630 + sDoubleFormat.format(100.0 * nrSingleRoomVariables / model.variables().size()) + "%)"); 631 pwi.println("Classes with single value," + nrSingleValueVariables); 632 // pwi.println("Classes with only one time/room,"+nrSingleTimeVariables+"/"+nrSingleRoomVariables); 633 pw.println("Total number of classes requesting no room: " 634 + (model.variables().size() - nrOneOrMoreRoomVariables) 635 + " (" 636 + sDoubleFormat.format(100.0 * (model.variables().size() - nrOneOrMoreRoomVariables) 637 / model.variables().size()) + "%)"); 638 pw.println("Total number of classes requesting one room: " + nrOneRoomVariables + " (" 639 + sDoubleFormat.format(100.0 * nrOneRoomVariables / model.variables().size()) + "%)"); 640 pw.println("Total number of classes requesting one or more rooms: " + nrOneOrMoreRoomVariables + " (" 641 + sDoubleFormat.format(100.0 * nrOneOrMoreRoomVariables / model.variables().size()) + "%)"); 642 // pwi.println("% classes requesting no room,"+sDoubleFormat.format(100.0*(model.variables().size()-nrOneOrMoreRoomVariables)/model.variables().size())+"%"); 643 // pwi.println("% classes requesting one room,"+sDoubleFormat.format(100.0*nrOneRoomVariables/model.variables().size())+"%"); 644 // pwi.println("% classes requesting two or more rooms,"+sDoubleFormat.format(100.0*(nrOneOrMoreRoomVariables-nrOneRoomVariables)/model.variables().size())+"%"); 645 pw.println("Average number of requested rooms: " 646 + sDoubleFormat.format(1.0 * nrReqRooms / model.variables().size())); 647 pw.println("Average minimal class limit: " 648 + sDoubleFormat.format(1.0 * totalMinLimit / model.variables().size())); 649 pw.println("Average maximal class limit: " 650 + sDoubleFormat.format(1.0 * totalMaxLimit / model.variables().size())); 651 // pwi.println("Average class limit,"+sDoubleFormat.format(1.0*(totalMinLimit+totalMaxLimit)/(2*model.variables().size()))); 652 pw.println("Average number of placements: " + sDoubleFormat.format(1.0 * nrValues / model.variables().size())); 653 // pwi.println("Average domain size,"+sDoubleFormat.format(1.0*nrValues/model.variables().size())); 654 pwi.println("Avg. domain size," + sDoubleFormat.format(1.0 * nrValues / model.variables().size())); 655 pw.println("Average number of time locations: " 656 + sDoubleFormat.format(1.0 * nrTimes / model.variables().size())); 657 pwi.println("Avg. number of avail. times/rooms," 658 + sDoubleFormat.format(1.0 * nrTimes / model.variables().size()) + "/" 659 + sDoubleFormat.format(1.0 * nrRooms / model.variables().size())); 660 pw.println("Average number of room locations: " 661 + sDoubleFormat.format(1.0 * nrRooms / model.variables().size())); 662 pw.println("Average minimal requested room size: " 663 + sDoubleFormat.format(1.0 * totalAvailableMinRoomSize / nrOneOrMoreRoomVariables)); 664 pw.println("Average maximal requested room size: " 665 + sDoubleFormat.format(1.0 * totalAvailableMaxRoomSize / nrOneOrMoreRoomVariables)); 666 pw.println("Average requested room sizes: " + sDoubleFormat.format(1.0 * totalRoomSize / nrRooms)); 667 pw.println("Average requested room size," + sDoubleFormat.format(1.0 * totalRoomSize / nrRooms)); 668 pw.println("Average maximum normalized time preference: " 669 + sDoubleFormat.format(totalMaxNormTimePref / model.variables().size())); 670 pw.println("Average minimum normalized time preference: " 671 + sDoubleFormat.format(totalMinNormTimePref / model.variables().size())); 672 pw.println("Average normalized time preference," 673 + sDoubleFormat.format(totalNormTimePref / model.variables().size())); 674 pw.println("Average maximum room preferences: " 675 + sDoubleFormat.format(1.0 * totalMaxRoomPref / nrOneOrMoreRoomVariables)); 676 pw.println("Average minimum room preferences: " 677 + sDoubleFormat.format(1.0 * totalMinRoomPref / nrOneOrMoreRoomVariables)); 678 pw.println("Average room preferences," + sDoubleFormat.format(1.0 * totalRoomPref / nrOneOrMoreRoomVariables)); 679 pw.println("Total number of students:" + students.size()); 680 pwi.println("Number of students," + students.size()); 681 pw.println("Number of inevitable student conflicts," + nrInevitableStudentConflicts); 682 pw.println("Total amount of student enrollments: " + nrStudentEnrls); 683 pw.println("Number of student enrollments," + nrStudentEnrls); 684 pw.println("Total amount of joined enrollments: " + nrJenrls); 685 pw.println("Number of joint student enrollments," + nrJenrls); 686 pw.println("Average number of students: " 687 + sDoubleFormat.format(1.0 * students.size() / model.variables().size())); 688 pw.println("Average number of enrollemnts (per student): " 689 + sDoubleFormat.format(1.0 * nrStudentEnrls / students.size())); 690 pwi.println("Avg. number of classes per student," 691 + sDoubleFormat.format(1.0 * nrStudentEnrls / students.size())); 692 pwi.println("Avg. number of committed classes per student," 693 + sDoubleFormat.format(1.0 * totalCommitedPlacements / students.size())); 694 pw.println("Total amount of inevitable student conflicts: " + nrInevitableStudentConflicts + " (" 695 + sDoubleFormat.format(100.0 * nrInevitableStudentConflicts / nrStudentEnrls) + "%)"); 696 pw.println("Average number of meetings (per class): " 697 + sDoubleFormat.format(1.0 * nrMeetings / model.variables().size())); 698 pw.println("Average number of hours per class: " 699 + sDoubleFormat.format(1.0 * nrHalfHours / model.variables().size() / 12.0)); 700 pwi.println("Avg. number of meetings per class," 701 + sDoubleFormat.format(1.0 * nrMeetings / model.variables().size())); 702 pwi.println("Avg. number of hours per class," 703 + sDoubleFormat.format(1.0 * nrHalfHours / model.variables().size() / 12.0)); 704 int minRoomSize = Integer.MAX_VALUE; 705 int maxRoomSize = Integer.MIN_VALUE; 706 int nrDistancePairs = 0; 707 double maxRoomDistance = Double.MIN_VALUE; 708 double totalRoomDistance = 0.0; 709 int[] totalAvailableSlots = new int[sizeLimits.length]; 710 int[] totalAvailableSeats = new int[sizeLimits.length]; 711 int nrOfRooms = 0; 712 totalRoomSize = 0; 713 for (RoomConstraint rc : model.getRoomConstraints()) { 714 if (!rc.getConstraint() || rc.variables().isEmpty()) 715 continue; 716 nrOfRooms++; 717 minRoomSize = Math.min(minRoomSize, rc.getCapacity()); 718 maxRoomSize = Math.max(maxRoomSize, rc.getCapacity()); 719 for (int l = 0; l < sizeLimits.length; l++) { 720 if (sizeLimits[l] <= rc.getCapacity() 721 && (l + 1 == sizeLimits.length || rc.getCapacity() < sizeLimits[l + 1])) { 722 nrRoomsOfSize[l]++; 723 if (minRoomOfSize[l] == 0) 724 minRoomOfSize[l] = rc.getCapacity(); 725 else 726 minRoomOfSize[l] = Math.min(minRoomOfSize[l], rc.getCapacity()); 727 if (maxRoomOfSize[l] == 0) 728 maxRoomOfSize[l] = rc.getCapacity(); 729 else 730 maxRoomOfSize[l] = Math.max(maxRoomOfSize[l], rc.getCapacity()); 731 } 732 } 733 totalRoomSize += rc.getCapacity(); 734 if (rc.getPosX() != null && rc.getPosY() != null) { 735 for (RoomConstraint rc2 : model.getRoomConstraints()) { 736 if (rc2.getResourceId().compareTo(rc.getResourceId()) > 0 && rc2.getPosX() != null && rc2.getPosY() != null) { 737 double distance = ((TimetableModel)solution.getModel()).getDistanceMetric().getDistanceInMeters(rc.getId(), rc.getPosX(), rc.getPosY(), rc2.getId(), rc2.getPosX(), rc2.getPosY()); 738 totalRoomDistance += distance; 739 nrDistancePairs++; 740 maxRoomDistance = Math.max(maxRoomDistance, distance); 741 } 742 } 743 } 744 for (int d = 0; d < Constants.NR_DAYS_WEEK; d++) { 745 for (int t = Constants.DAY_SLOTS_FIRST; t <= Constants.DAY_SLOTS_LAST; t++) { 746 if (rc.isAvailable(d * Constants.SLOTS_PER_DAY + t)) { 747 for (int l = 0; l < sizeLimits.length; l++) { 748 if (sizeLimits[l] <= rc.getCapacity()) { 749 totalAvailableSlots[l]++; 750 totalAvailableSeats[l] += rc.getCapacity(); 751 } 752 } 753 } 754 } 755 } 756 } 757 pw.println("Total number of rooms: " + nrOfRooms); 758 pwi.println("Number of rooms," + nrOfRooms); 759 pw.println("Minimal room size: " + minRoomSize); 760 pw.println("Maximal room size: " + maxRoomSize); 761 pwi.println("Room size min/max," + minRoomSize + "/" + maxRoomSize); 762 pw.println("Average room size: " 763 + sDoubleFormat.format(1.0 * totalRoomSize / model.getRoomConstraints().size())); 764 pw.println("Maximal distance between two rooms: " + sDoubleFormat.format(5.0 * maxRoomDistance)); 765 pw.println("Average distance between two rooms: " 766 + sDoubleFormat.format(5.0 * totalRoomDistance / nrDistancePairs)); 767 pw.println("Average distance between two rooms [m]," 768 + sDoubleFormat.format(5.0 * totalRoomDistance / nrDistancePairs)); 769 pw.println("Maximal distance between two rooms [m]," + sDoubleFormat.format(5.0 * maxRoomDistance)); 770 for (int l = 0; l < 1; l++) {// sizeLimits.length;l++) { 771 pwi.println("\"Room frequency (size>=" + sizeLimits[l] + ", used/avaiable times)\"," 772 + sDoubleFormat.format(100.0 * totalUsedSlots[l] / totalAvailableSlots[l]) + "%"); 773 pwi.println("\"Room utilization (size>=" + sizeLimits[l] + ", used/available seats)\"," 774 + sDoubleFormat.format(100.0 * totalUsedSeats[l] / totalAvailableSeats[l]) + "%"); 775 pwi.println("\"Number of rooms (size>=" + sizeLimits[l] + ")\"," + nrRoomsOfSize[l]); 776 pwi.println("\"Min/max room size (size>=" + sizeLimits[l] + ")\"," + minRoomOfSize[l] + "-" 777 + maxRoomOfSize[l]); 778 // pwi.println("\"Room utilization (size>="+sizeLimits[l]+", minRoomSize)\","+sDoubleFormat.format(100.0*totalUsedSeats2[l]/totalAvailableSeats[l])+"%"); 779 } 780 pw.println("Average hours available: " 781 + sDoubleFormat.format(1.0 * totalAvailableSlots[0] / model.getRoomConstraints().size() / 12.0)); 782 int totalInstructedClasses = 0; 783 for (InstructorConstraint ic : model.getInstructorConstraints()) { 784 totalInstructedClasses += ic.variables().size(); 785 } 786 pw.println("Total number of instructors: " + model.getInstructorConstraints().size()); 787 pwi.println("Number of instructors," + model.getInstructorConstraints().size()); 788 pw.println("Total class-instructor assignments: " + totalInstructedClasses + " (" 789 + sDoubleFormat.format(100.0 * totalInstructedClasses / model.variables().size()) + "%)"); 790 pwi.println("Number of class-instructor assignments," + totalInstructedClasses); 791 pw.println("Average classes per instructor: " 792 + sDoubleFormat.format(1.0 * totalInstructedClasses / model.getInstructorConstraints().size())); 793 pwi.println("Average classes per instructor," 794 + sDoubleFormat.format(1.0 * totalInstructedClasses / model.getInstructorConstraints().size())); 795 // pw.println("Average hours available: "+sDoubleFormat.format(1.0*totalAvailableSlots/model.getInstructorConstraints().size()/12.0)); 796 // pwi.println("Instructor availability [h],"+sDoubleFormat.format(1.0*totalAvailableSlots/model.getInstructorConstraints().size()/12.0)); 797 int nrGroupConstraints = model.getGroupConstraints().size() + model.getSpreadConstraints().size(); 798 int nrHardGroupConstraints = 0; 799 int nrVarsInGroupConstraints = 0; 800 for (GroupConstraint gc : model.getGroupConstraints()) { 801 if (gc.isHard()) 802 nrHardGroupConstraints++; 803 nrVarsInGroupConstraints += gc.variables().size(); 804 } 805 for (SpreadConstraint sc : model.getSpreadConstraints()) { 806 nrVarsInGroupConstraints += sc.variables().size(); 807 } 808 pw.println("Total number of group constraints: " + nrGroupConstraints + " (" 809 + sDoubleFormat.format(100.0 * nrGroupConstraints / model.variables().size()) + "%)"); 810 // pwi.println("Number of group constraints,"+nrGroupConstraints); 811 pw.println("Total number of hard group constraints: " + nrHardGroupConstraints + " (" 812 + sDoubleFormat.format(100.0 * nrHardGroupConstraints / model.variables().size()) + "%)"); 813 // pwi.println("Number of hard group constraints,"+nrHardGroupConstraints); 814 pw.println("Average classes per group constraint: " 815 + sDoubleFormat.format(1.0 * nrVarsInGroupConstraints / nrGroupConstraints)); 816 // pwi.println("Average classes per group constraint,"+sDoubleFormat.format(1.0*nrVarsInGroupConstraints/nrGroupConstraints)); 817 pwi.println("Avg. number distribution constraints per class," 818 + sDoubleFormat.format(1.0 * nrVarsInGroupConstraints / model.variables().size())); 819 pwi.println("Joint enrollment constraints," + model.getJenrlConstraints().size()); 820 pw.flush(); 821 pw.close(); 822 pwi.flush(); 823 pwi.close(); 824 } 825 826 public static void saveOutputCSV(Solution<Lecture, Placement> s, File file) { 827 try { 828 DecimalFormat dx = new DecimalFormat("000"); 829 PrintWriter w = new PrintWriter(new FileWriter(file)); 830 TimetableModel m = (TimetableModel) s.getModel(); 831 int idx = 1; 832 w.println("000." + dx.format(idx++) + " Assigned variables," + m.assignedVariables().size()); 833 w.println("000." + dx.format(idx++) + " Time [sec]," + sDoubleFormat.format(s.getBestTime())); 834 w.println("000." + dx.format(idx++) + " Hard student conflicts," + Math.round(m.getCriterion(StudentHardConflict.class).getValue())); 835 if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true)) 836 w.println("000." + dx.format(idx++) + " Distance student conf.," + Math.round(m.getCriterion(StudentDistanceConflict.class).getValue())); 837 w.println("000." + dx.format(idx++) + " Student conflicts," + Math.round(m.getCriterion(StudentConflict.class).getValue())); 838 w.println("000." + dx.format(idx++) + " Committed student conflicts," + Math.round(m.getCriterion(StudentCommittedConflict.class).getValue())); 839 w.println("000." + dx.format(idx++) + " All Student conflicts," 840 + Math.round(m.getCriterion(StudentConflict.class).getValue() + m.getCriterion(StudentCommittedConflict.class).getValue())); 841 w.println("000." + dx.format(idx++) + " Time preferences," 842 + sDoubleFormat.format( m.getCriterion(TimePreferences.class).getValue())); 843 w.println("000." + dx.format(idx++) + " Room preferences," + Math.round(m.getCriterion(RoomPreferences.class).getValue())); 844 w.println("000." + dx.format(idx++) + " Useless half-hours," + Math.round(m.getCriterion(UselessHalfHours.class).getValue())); 845 w.println("000." + dx.format(idx++) + " Broken time patterns," + Math.round(m.getCriterion(BrokenTimePatterns.class).getValue())); 846 w.println("000." + dx.format(idx++) + " Too big room," + Math.round(m.getCriterion(TooBigRooms.class).getValue())); 847 w.println("000." + dx.format(idx++) + " Distribution preferences," + sDoubleFormat.format(m.getCriterion(DistributionPreferences.class).getValue())); 848 if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true)) 849 w.println("000." + dx.format(idx++) + " Back-to-back instructor pref.," + Math.round(m.getCriterion(BackToBackInstructorPreferences.class).getValue())); 850 if (m.getProperties().getPropertyBoolean("General.DeptBalancing", true)) { 851 w.println("000." + dx.format(idx++) + " Dept. balancing penalty," + sDoubleFormat.format(m.getCriterion(DepartmentBalancingPenalty.class).getValue())); 852 } 853 w.println("000." + dx.format(idx++) + " Same subpart balancing penalty," + sDoubleFormat.format(m.getCriterion(SameSubpartBalancingPenalty.class).getValue())); 854 if (m.getProperties().getPropertyBoolean("General.MPP", false)) { 855 Map<String, Double> mppInfo = ((UniversalPerturbationsCounter)((Perturbations)m.getCriterion(Perturbations.class)).getPerturbationsCounter()).getCompactInfo(m, false, false); 856 int pidx = 51; 857 w.println("000." + dx.format(pidx++) + " Perturbation penalty," + sDoubleFormat.format(m.getCriterion(Perturbations.class).getValue())); 858 w.println("000." + dx.format(pidx++) + " Additional perturbations," + m.perturbVariables().size()); 859 int nrPert = 0, nrStudentPert = 0; 860 for (Lecture lecture : m.variables()) { 861 if (lecture.getInitialAssignment() != null) 862 continue; 863 nrPert++; 864 nrStudentPert += lecture.classLimit(); 865 } 866 w.println("000." + dx.format(pidx++) + " Given perturbations," + nrPert); 867 w.println("000." + dx.format(pidx++) + " Given student perturbations," + nrStudentPert); 868 for (String key : new TreeSet<String>(mppInfo.keySet())) { 869 Double value = mppInfo.get(key); 870 w.println("000." + dx.format(pidx++) + " " + key + "," + sDoubleFormat.format(value)); 871 } 872 } 873 HashSet<Student> students = new HashSet<Student>(); 874 int enrls = 0; 875 int minRoomPref = 0, maxRoomPref = 0; 876 int minGrPref = 0, maxGrPref = 0; 877 int minTimePref = 0, maxTimePref = 0; 878 int worstInstrPref = 0; 879 HashSet<Constraint<Lecture, Placement>> used = new HashSet<Constraint<Lecture, Placement>>(); 880 for (Lecture lecture : m.variables()) { 881 enrls += (lecture.students() == null ? 0 : lecture.students().size()); 882 students.addAll(lecture.students()); 883 884 int[] minMaxRoomPref = lecture.getMinMaxRoomPreference(); 885 minRoomPref += minMaxRoomPref[0]; 886 maxRoomPref += minMaxRoomPref[1]; 887 888 double[] minMaxTimePref = lecture.getMinMaxTimePreference(); 889 minTimePref += minMaxTimePref[0]; 890 maxTimePref += minMaxTimePref[1]; 891 for (Constraint<Lecture, Placement> c : lecture.constraints()) { 892 if (!used.add(c)) 893 continue; 894 895 if (c instanceof InstructorConstraint) { 896 InstructorConstraint ic = (InstructorConstraint) c; 897 worstInstrPref += ic.getWorstPreference(); 898 } 899 900 if (c instanceof GroupConstraint) { 901 GroupConstraint gc = (GroupConstraint) c; 902 if (gc.isHard()) 903 continue; 904 minGrPref -= Math.abs(gc.getPreference()); 905 maxGrPref += 0; 906 // minGrPref += Math.min(gc.getPreference(), 0); 907 // maxGrPref += Math.max(gc.getPreference(), 0); 908 } 909 } 910 } 911 int totalCommitedPlacements = 0; 912 for (Student student : students) { 913 if (student.getCommitedPlacements() != null) 914 totalCommitedPlacements += student.getCommitedPlacements().size(); 915 } 916 HashMap<Long, List<Lecture>> subs = new HashMap<Long, List<Lecture>>(); 917 for (Lecture lecture : m.variables()) { 918 if (lecture.isCommitted() || lecture.getScheduler() == null) 919 continue; 920 List<Lecture> vars = subs.get(lecture.getScheduler()); 921 if (vars == null) { 922 vars = new ArrayList<Lecture>(); 923 subs.put(lecture.getScheduler(), vars); 924 } 925 vars.add(lecture); 926 } 927 int bidx = 101; 928 w.println("000." + dx.format(bidx++) + " Assigned variables max," + m.variables().size()); 929 w.println("000." + dx.format(bidx++) + " Student enrollments," + enrls); 930 w.println("000." + dx.format(bidx++) + " Student commited enrollments," + totalCommitedPlacements); 931 w.println("000." + dx.format(bidx++) + " All student enrollments," + (enrls + totalCommitedPlacements)); 932 w.println("000." + dx.format(bidx++) + " Time preferences min," + minTimePref); 933 w.println("000." + dx.format(bidx++) + " Time preferences max," + maxTimePref); 934 w.println("000." + dx.format(bidx++) + " Room preferences min," + minRoomPref); 935 w.println("000." + dx.format(bidx++) + " Room preferences max," + maxRoomPref); 936 w.println("000." 937 + dx.format(bidx++) 938 + " Useless half-hours max," 939 + (Constants.sPreferenceLevelStronglyDiscouraged * m.getRoomConstraints().size() 940 * Constants.SLOTS_PER_DAY_NO_EVENINGS * Constants.NR_DAYS_WEEK)); 941 w.println("000." + dx.format(bidx++) + " Too big room max," 942 + (Constants.sPreferenceLevelStronglyDiscouraged * m.variables().size())); 943 w.println("000." + dx.format(bidx++) + " Distribution preferences min," + minGrPref); 944 w.println("000." + dx.format(bidx++) + " Distribution preferences max," + maxGrPref); 945 w.println("000." + dx.format(bidx++) + " Back-to-back instructor pref max," + worstInstrPref); 946 for (Long scheduler: new TreeSet<Long>(subs.keySet())) { 947 List<Lecture> vars = subs.get(scheduler); 948 idx = 001; 949 bidx = 101; 950 int nrAssg = 0; 951 enrls = 0; 952 int roomPref = 0; 953 minRoomPref = 0; 954 maxRoomPref = 0; 955 double timePref = 0; 956 minTimePref = 0; 957 maxTimePref = 0; 958 double grPref = 0; 959 minGrPref = 0; 960 maxGrPref = 0; 961 long allSC = 0, hardSC = 0, distSC = 0; 962 int instPref = 0; 963 worstInstrPref = 0; 964 int spreadPen = 0, deptSpreadPen = 0; 965 int tooBigRooms = 0; 966 int rcs = 0, uselessSlots = 0; 967 used = new HashSet<Constraint<Lecture, Placement>>(); 968 for (Lecture lecture : vars) { 969 if (lecture.isCommitted()) 970 continue; 971 enrls += lecture.students().size(); 972 Placement placement = lecture.getAssignment(); 973 if (placement != null) { 974 nrAssg++; 975 } 976 977 int[] minMaxRoomPref = lecture.getMinMaxRoomPreference(); 978 minRoomPref += minMaxRoomPref[0]; 979 maxRoomPref += minMaxRoomPref[1]; 980 981 double[] minMaxTimePref = lecture.getMinMaxTimePreference(); 982 minTimePref += minMaxTimePref[0]; 983 maxTimePref += minMaxTimePref[1]; 984 985 if (placement != null) { 986 roomPref += placement.getRoomPreference(); 987 timePref += placement.getTimeLocation().getNormalizedPreference(); 988 tooBigRooms += TooBigRooms.getTooBigRoomPreference(placement); 989 } 990 991 for (Constraint<Lecture, Placement> c : lecture.constraints()) { 992 if (!used.add(c)) 993 continue; 994 995 if (c instanceof InstructorConstraint) { 996 InstructorConstraint ic = (InstructorConstraint) c; 997 instPref += ic.getPreference(); 998 worstInstrPref += ic.getWorstPreference(); 999 } 1000 1001 if (c instanceof DepartmentSpreadConstraint) { 1002 DepartmentSpreadConstraint dsc = (DepartmentSpreadConstraint) c; 1003 deptSpreadPen += dsc.getPenalty(); 1004 } else if (c instanceof SpreadConstraint) { 1005 SpreadConstraint sc = (SpreadConstraint) c; 1006 spreadPen += sc.getPenalty(); 1007 } 1008 1009 if (c instanceof GroupConstraint) { 1010 GroupConstraint gc = (GroupConstraint) c; 1011 if (gc.isHard()) 1012 continue; 1013 minGrPref -= Math.abs(gc.getPreference()); 1014 maxGrPref += 0; 1015 grPref += Math.min(0, gc.getCurrentPreference()); 1016 // minGrPref += Math.min(gc.getPreference(), 0); 1017 // maxGrPref += Math.max(gc.getPreference(), 0); 1018 // grPref += gc.getCurrentPreference(); 1019 } 1020 1021 if (c instanceof JenrlConstraint) { 1022 JenrlConstraint jc = (JenrlConstraint) c; 1023 if (!jc.isInConflict() || !jc.isOfTheSameProblem()) 1024 continue; 1025 Lecture l1 = jc.first(); 1026 Lecture l2 = jc.second(); 1027 allSC += jc.getJenrl(); 1028 if (l1.areStudentConflictsHard(l2)) 1029 hardSC += jc.getJenrl(); 1030 Placement p1 = l1.getAssignment(); 1031 Placement p2 = l2.getAssignment(); 1032 if (!p1.getTimeLocation().hasIntersection(p2.getTimeLocation())) 1033 distSC += jc.getJenrl(); 1034 } 1035 1036 if (c instanceof RoomConstraint) { 1037 RoomConstraint rc = (RoomConstraint) c; 1038 uselessSlots += UselessHalfHours.countUselessSlotsHalfHours(rc) + BrokenTimePatterns.countUselessSlotsBrokenTimePatterns(rc); 1039 rcs++; 1040 } 1041 } 1042 } 1043 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Assigned variables," + nrAssg); 1044 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Assigned variables max," + vars.size()); 1045 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Hard student conflicts," + hardSC); 1046 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Student enrollments," + enrls); 1047 if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true)) 1048 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Distance student conf.," + distSC); 1049 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Student conflicts," + allSC); 1050 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Time preferences," + timePref); 1051 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Time preferences min," + minTimePref); 1052 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Time preferences max," + maxTimePref); 1053 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Room preferences," + roomPref); 1054 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Room preferences min," + minRoomPref); 1055 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Room preferences max," + maxRoomPref); 1056 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Useless half-hours," + uselessSlots); 1057 w 1058 .println(dx.format(scheduler) 1059 + "." 1060 + dx.format(bidx++) 1061 + " Useless half-hours max," 1062 + (Constants.sPreferenceLevelStronglyDiscouraged * rcs 1063 * Constants.SLOTS_PER_DAY_NO_EVENINGS * Constants.NR_DAYS_WEEK)); 1064 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Too big room," + tooBigRooms); 1065 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Too big room max," 1066 + (Constants.sPreferenceLevelStronglyDiscouraged * vars.size())); 1067 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Distribution preferences," + grPref); 1068 w 1069 .println(dx.format(scheduler) + "." + dx.format(bidx++) + " Distribution preferences min," 1070 + minGrPref); 1071 w 1072 .println(dx.format(scheduler) + "." + dx.format(bidx++) + " Distribution preferences max," 1073 + maxGrPref); 1074 if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true)) 1075 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Back-to-back instructor pref," 1076 + instPref); 1077 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Back-to-back instructor pref max," 1078 + worstInstrPref); 1079 if (m.getProperties().getPropertyBoolean("General.DeptBalancing", true)) { 1080 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Department balancing penalty," 1081 + sDoubleFormat.format((deptSpreadPen) / 12.0)); 1082 } 1083 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Same subpart balancing penalty," 1084 + sDoubleFormat.format((spreadPen) / 12.0)); 1085 } 1086 w.flush(); 1087 w.close(); 1088 } catch (java.io.IOException io) { 1089 sLogger.error(io.getMessage(), io); 1090 } 1091 } 1092 }