001package org.cpsolver.coursett; 002 003import java.io.File; 004import java.io.FileWriter; 005import java.io.IOException; 006import java.io.PrintWriter; 007import java.text.DecimalFormat; 008import java.util.ArrayList; 009import java.util.Collection; 010import java.util.Date; 011import java.util.HashSet; 012import java.util.HashMap; 013import java.util.List; 014import java.util.Locale; 015import java.util.Map; 016import java.util.TreeSet; 017 018import org.cpsolver.coursett.constraint.DepartmentSpreadConstraint; 019import org.cpsolver.coursett.constraint.GroupConstraint; 020import org.cpsolver.coursett.constraint.InstructorConstraint; 021import org.cpsolver.coursett.constraint.JenrlConstraint; 022import org.cpsolver.coursett.constraint.RoomConstraint; 023import org.cpsolver.coursett.constraint.SpreadConstraint; 024import org.cpsolver.coursett.criteria.BackToBackInstructorPreferences; 025import org.cpsolver.coursett.criteria.BrokenTimePatterns; 026import org.cpsolver.coursett.criteria.DepartmentBalancingPenalty; 027import org.cpsolver.coursett.criteria.DistributionPreferences; 028import org.cpsolver.coursett.criteria.Perturbations; 029import org.cpsolver.coursett.criteria.RoomPreferences; 030import org.cpsolver.coursett.criteria.SameSubpartBalancingPenalty; 031import org.cpsolver.coursett.criteria.StudentCommittedConflict; 032import org.cpsolver.coursett.criteria.StudentConflict; 033import org.cpsolver.coursett.criteria.StudentDistanceConflict; 034import org.cpsolver.coursett.criteria.StudentHardConflict; 035import org.cpsolver.coursett.criteria.TimePreferences; 036import org.cpsolver.coursett.criteria.TooBigRooms; 037import org.cpsolver.coursett.criteria.UselessHalfHours; 038import org.cpsolver.coursett.heuristics.UniversalPerturbationsCounter; 039import org.cpsolver.coursett.model.Lecture; 040import org.cpsolver.coursett.model.Placement; 041import org.cpsolver.coursett.model.RoomLocation; 042import org.cpsolver.coursett.model.Student; 043import org.cpsolver.coursett.model.TimeLocation; 044import org.cpsolver.coursett.model.TimetableModel; 045import org.cpsolver.ifs.assignment.Assignment; 046import org.cpsolver.ifs.assignment.DefaultParallelAssignment; 047import org.cpsolver.ifs.assignment.DefaultSingleAssignment; 048import org.cpsolver.ifs.extension.ConflictStatistics; 049import org.cpsolver.ifs.extension.Extension; 050import org.cpsolver.ifs.extension.MacPropagation; 051import org.cpsolver.ifs.model.Constraint; 052import org.cpsolver.ifs.solution.Solution; 053import org.cpsolver.ifs.solution.SolutionListener; 054import org.cpsolver.ifs.solver.ParallelSolver; 055import org.cpsolver.ifs.solver.Solver; 056import org.cpsolver.ifs.util.DataProperties; 057import org.cpsolver.ifs.util.Progress; 058import org.cpsolver.ifs.util.ProgressWriter; 059import org.cpsolver.ifs.util.ToolBox; 060 061 062/** 063 * A main class for running of the solver from command line. <br> 064 * <br> 065 * Usage:<br> 066 * java -Xmx1024m -jar coursett1.1.jar config.properties [input_file] 067 * [output_folder]<br> 068 * <br> 069 * See http://www.unitime.org for example configuration files and banchmark data 070 * sets.<br> 071 * <br> 072 * 073 * The test does the following steps: 074 * <ul> 075 * <li>Provided property file is loaded (see {@link DataProperties}). 076 * <li>Output folder is created (General.Output property) and loggings is setup 077 * (using log4j). 078 * <li>Input data are loaded (calling {@link TimetableLoader#load()}). 079 * <li>Solver is executed (see {@link Solver}). 080 * <li>Resultant solution is saved (calling {@link TimetableSaver#save()}, when 081 * General.Save property is set to true. 082 * </ul> 083 * Also, a log and a CSV (comma separated text file) is created in the output 084 * folder. 085 * 086 * @version CourseTT 1.3 (University Course Timetabling)<br> 087 * Copyright (C) 2006 - 2014 Tomáš Müller<br> 088 * <a href="mailto:muller@unitime.org">muller@unitime.org</a><br> 089 * <a href="http://muller.unitime.org">http://muller.unitime.org</a><br> 090 * <br> 091 * This library is free software; you can redistribute it and/or modify 092 * it under the terms of the GNU Lesser General Public License as 093 * published by the Free Software Foundation; either version 3 of the 094 * License, or (at your option) any later version. <br> 095 * <br> 096 * This library is distributed in the hope that it will be useful, but 097 * WITHOUT ANY WARRANTY; without even the implied warranty of 098 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU 099 * Lesser General Public License for more details. <br> 100 * <br> 101 * You should have received a copy of the GNU Lesser General Public 102 * License along with this library; if not see 103 * <a href='http://www.gnu.org/licenses/'>http://www.gnu.org/licenses/</a>. 104 */ 105 106public class Test implements SolutionListener<Lecture, Placement> { 107 private static java.text.SimpleDateFormat sDateFormat = new java.text.SimpleDateFormat("yyMMdd_HHmmss", 108 java.util.Locale.US); 109 private static java.text.DecimalFormat sDoubleFormat = new java.text.DecimalFormat("0.000", 110 new java.text.DecimalFormatSymbols(Locale.US)); 111 private static org.apache.logging.log4j.Logger sLogger = org.apache.logging.log4j.LogManager.getLogger(Test.class); 112 113 private PrintWriter iCSVFile = null; 114 115 private MacPropagation<Lecture, Placement> iProp = null; 116 private ConflictStatistics<Lecture, Placement> iStat = null; 117 private int iLastNotified = -1; 118 119 private boolean initialized = false; 120 private Solver<Lecture, Placement> iSolver = null; 121 122 /** Current version 123 * @return version string 124 **/ 125 public static String getVersionString() { 126 return "IFS Timetable Solver v" + Constants.getVersion() + " build" + Constants.getBuildNumber() + ", " 127 + Constants.getReleaseDate(); 128 } 129 130 /** Solver initialization 131 * @param solver current solver 132 **/ 133 public void init(Solver<Lecture, Placement> solver) { 134 iSolver = solver; 135 solver.currentSolution().addSolutionListener(this); 136 } 137 138 /** 139 * Return name of the class that is used for loading the data. This class 140 * needs to extend class {@link TimetableLoader}. It can be also defined in 141 * configuration, using TimetableLoader property. 142 **/ 143 private String getTimetableLoaderClass(DataProperties properties) { 144 String loader = properties.getProperty("TimetableLoader"); 145 if (loader != null) 146 return loader; 147 if (properties.getPropertyInt("General.InputVersion", -1) >= 0) 148 return "org.unitime.timetable.solver.TimetableDatabaseLoader"; 149 else 150 return "org.cpsolver.coursett.TimetableXMLLoader"; 151 } 152 153 /** 154 * Return name of the class that is used for loading the data. This class 155 * needs to extend class {@link TimetableSaver}. It can be also defined in 156 * configuration, using TimetableSaver property. 157 **/ 158 private String getTimetableSaverClass(DataProperties properties) { 159 String saver = properties.getProperty("TimetableSaver"); 160 if (saver != null) 161 return saver; 162 if (properties.getPropertyInt("General.InputVersion", -1) >= 0) 163 return "org.unitime.timetable.solver.TimetableDatabaseSaver"; 164 else 165 return "org.cpsolver.coursett.TimetableXMLSaver"; 166 } 167 168 /** 169 * Solver Test 170 * 171 * @param args 172 * command line arguments 173 */ 174 public Test(String[] args) { 175 try { 176 DataProperties properties = ToolBox.loadProperties(new java.io.File(args[0])); 177 properties.putAll(System.getProperties()); 178 properties.setProperty("General.Output", properties.getProperty("General.Output", ".") + File.separator + sDateFormat.format(new Date())); 179 if (args.length > 1) 180 properties.setProperty("General.Input", args[1]); 181 if (args.length > 2) 182 properties.setProperty("General.Output", args[2] + File.separator + (sDateFormat.format(new Date()))); 183 System.out.println("Output folder: " + properties.getProperty("General.Output")); 184 File outDir = new File(properties.getProperty("General.Output", ".")); 185 outDir.mkdirs(); 186 ToolBox.setupLogging(new File(outDir, "debug.log"), "true".equals(System.getProperty("debug", "false"))); 187 188 TimetableModel model = new TimetableModel(properties); 189 int nrSolvers = properties.getPropertyInt("Parallel.NrSolvers", 1); 190 Assignment<Lecture, Placement> assignment = (nrSolvers <= 1 ? new DefaultSingleAssignment<Lecture, Placement>() : new DefaultParallelAssignment<Lecture, Placement>()); 191 Progress.getInstance(model).addProgressListener(new ProgressWriter(System.out)); 192 Solver<Lecture, Placement> solver = (nrSolvers == 1 ? new Solver<Lecture, Placement>(properties) : new ParallelSolver<Lecture, Placement>(properties)); 193 194 TimetableLoader loader = null; 195 try { 196 loader = (TimetableLoader) Class.forName(getTimetableLoaderClass(properties)) 197 .getConstructor(new Class[] { TimetableModel.class, Assignment.class }).newInstance(new Object[] { model, assignment }); 198 } catch (ClassNotFoundException e) { 199 System.err.println(e.getClass().getSimpleName() + ": " + e.getMessage()); 200 loader = new TimetableXMLLoader(model, assignment); 201 } 202 loader.load(); 203 204 solver.setInitalSolution(new Solution<Lecture, Placement>(model, assignment)); 205 init(solver); 206 207 iCSVFile = new PrintWriter(new FileWriter(outDir.toString() + File.separator + "stat.csv")); 208 String colSeparator = ";"; 209 iCSVFile.println("Assigned" 210 + colSeparator 211 + "Assigned[%]" 212 + colSeparator 213 + "Time[min]" 214 + colSeparator 215 + "Iter" 216 + colSeparator 217 + "IterYield[%]" 218 + colSeparator 219 + "Speed[it/s]" 220 + colSeparator 221 + "AddedPert" 222 + colSeparator 223 + "AddedPert[%]" 224 + colSeparator 225 + "HardStudentConf" 226 + colSeparator 227 + "StudentConf" 228 + colSeparator 229 + "DistStudentConf" 230 + colSeparator 231 + "CommitStudentConf" 232 + colSeparator 233 + "TimePref" 234 + colSeparator 235 + "RoomPref" 236 + colSeparator 237 + "DistInstrPref" 238 + colSeparator 239 + "GrConstPref" 240 + colSeparator 241 + "UselessHalfHours" 242 + colSeparator 243 + "BrokenTimePat" 244 + colSeparator 245 + "TooBigRooms" 246 + (iProp != null ? colSeparator + "GoodVars" + colSeparator + "GoodVars[%]" + colSeparator 247 + "GoodVals" + colSeparator + "GoodVals[%]" : "")); 248 iCSVFile.flush(); 249 250 Runtime.getRuntime().addShutdownHook(new ShutdownHook(solver)); 251 252 solver.start(); 253 try { 254 solver.getSolverThread().join(); 255 } catch (InterruptedException e) { 256 } 257 } catch (Throwable t) { 258 sLogger.error("Test failed.", t); 259 } 260 } 261 262 public static void main(String[] args) { 263 new Test(args); 264 } 265 266 @Override 267 public void bestCleared(Solution<Lecture, Placement> solution) { 268 } 269 270 @Override 271 public void bestRestored(Solution<Lecture, Placement> solution) { 272 } 273 274 @Override 275 public void bestSaved(Solution<Lecture, Placement> solution) { 276 notify(solution); 277 if (sLogger.isInfoEnabled()) 278 sLogger.info("**BEST[" + solution.getIteration() + "]** " + ((TimetableModel)solution.getModel()).toString(solution.getAssignment()) + 279 (solution.getFailedIterations() > 0 ? ", F:" + sDoubleFormat.format(100.0 * solution.getFailedIterations() / solution.getIteration()) + "%" : "")); 280 } 281 282 @Override 283 public void getInfo(Solution<Lecture, Placement> solution, Map<String, String> info) { 284 } 285 286 @Override 287 public void getInfo(Solution<Lecture, Placement> solution, Map<String, String> info, Collection<Lecture> variables) { 288 } 289 290 @Override 291 public void solutionUpdated(Solution<Lecture, Placement> solution) { 292 if (!initialized) { 293 for (Extension<Lecture, Placement> extension : iSolver.getExtensions()) { 294 if (MacPropagation.class.isInstance(extension)) 295 iProp = (MacPropagation<Lecture, Placement>) extension; 296 if (ConflictStatistics.class.isInstance(extension)) { 297 iStat = (ConflictStatistics<Lecture, Placement>) extension; 298 } 299 } 300 } 301 } 302 303 /** Add a line into the output CSV file when a enw best solution is found. 304 * @param solution current solution 305 **/ 306 public void notify(Solution<Lecture, Placement> solution) { 307 String colSeparator = ";"; 308 Assignment<Lecture, Placement> assignment = solution.getAssignment(); 309 if (assignment.nrAssignedVariables() < solution.getModel().countVariables() && iLastNotified == assignment.nrAssignedVariables()) 310 return; 311 iLastNotified = assignment.nrAssignedVariables(); 312 if (iCSVFile != null) { 313 TimetableModel model = (TimetableModel) solution.getModel(); 314 iCSVFile.print(model.variables().size() - model.nrUnassignedVariables(assignment)); 315 iCSVFile.print(colSeparator); 316 iCSVFile.print(sDoubleFormat.format(100.0 * assignment.nrAssignedVariables() / model.variables().size())); 317 iCSVFile.print(colSeparator); 318 iCSVFile.print(sDoubleFormat.format((solution.getTime()) / 60.0)); 319 iCSVFile.print(colSeparator); 320 iCSVFile.print(solution.getIteration()); 321 iCSVFile.print(colSeparator); 322 iCSVFile.print(sDoubleFormat.format(100.0 * assignment.nrAssignedVariables() / solution.getIteration())); 323 iCSVFile.print(colSeparator); 324 iCSVFile.print(sDoubleFormat.format((solution.getIteration()) / solution.getTime())); 325 iCSVFile.print(colSeparator); 326 iCSVFile.print(model.perturbVariables(assignment).size()); 327 iCSVFile.print(colSeparator); 328 iCSVFile.print(sDoubleFormat.format(100.0 * model.perturbVariables(assignment).size() / model.variables().size())); 329 iCSVFile.print(colSeparator); 330 iCSVFile.print(Math.round(solution.getModel().getCriterion(StudentHardConflict.class).getValue(assignment))); 331 iCSVFile.print(colSeparator); 332 iCSVFile.print(Math.round(solution.getModel().getCriterion(StudentConflict.class).getValue(assignment))); 333 iCSVFile.print(colSeparator); 334 iCSVFile.print(Math.round(solution.getModel().getCriterion(StudentDistanceConflict.class).getValue(assignment))); 335 iCSVFile.print(colSeparator); 336 iCSVFile.print(Math.round(solution.getModel().getCriterion(StudentCommittedConflict.class).getValue(assignment))); 337 iCSVFile.print(colSeparator); 338 iCSVFile.print(sDoubleFormat.format(solution.getModel().getCriterion(TimePreferences.class).getValue(assignment))); 339 iCSVFile.print(colSeparator); 340 iCSVFile.print(Math.round(solution.getModel().getCriterion(RoomPreferences.class).getValue(assignment))); 341 iCSVFile.print(colSeparator); 342 iCSVFile.print(Math.round(solution.getModel().getCriterion(BackToBackInstructorPreferences.class).getValue(assignment))); 343 iCSVFile.print(colSeparator); 344 iCSVFile.print(Math.round(solution.getModel().getCriterion(DistributionPreferences.class).getValue(assignment))); 345 iCSVFile.print(colSeparator); 346 iCSVFile.print(Math.round(solution.getModel().getCriterion(UselessHalfHours.class).getValue(assignment))); 347 iCSVFile.print(colSeparator); 348 iCSVFile.print(Math.round(solution.getModel().getCriterion(BrokenTimePatterns.class).getValue(assignment))); 349 iCSVFile.print(colSeparator); 350 iCSVFile.print(Math.round(solution.getModel().getCriterion(TooBigRooms.class).getValue(assignment))); 351 if (iProp != null) { 352 if (solution.getModel().nrUnassignedVariables(assignment) > 0) { 353 int goodVariables = 0; 354 long goodValues = 0; 355 long allValues = 0; 356 for (Lecture variable : ((TimetableModel) solution.getModel()).unassignedVariables(assignment)) { 357 goodValues += iProp.goodValues(assignment, variable).size(); 358 allValues += variable.values(solution.getAssignment()).size(); 359 if (!iProp.goodValues(assignment, variable).isEmpty()) 360 goodVariables++; 361 } 362 iCSVFile.print(colSeparator); 363 iCSVFile.print(goodVariables); 364 iCSVFile.print(colSeparator); 365 iCSVFile.print(sDoubleFormat.format(100.0 * goodVariables / solution.getModel().nrUnassignedVariables(assignment))); 366 iCSVFile.print(colSeparator); 367 iCSVFile.print(goodValues); 368 iCSVFile.print(colSeparator); 369 iCSVFile.print(sDoubleFormat.format(100.0 * goodValues / allValues)); 370 } else { 371 iCSVFile.print(colSeparator); 372 iCSVFile.print(colSeparator); 373 iCSVFile.print(colSeparator); 374 iCSVFile.print(colSeparator); 375 } 376 } 377 iCSVFile.println(); 378 iCSVFile.flush(); 379 } 380 } 381 382 /** Print room utilization 383 * @param pw writer 384 * @param model problem model 385 * @param assignment current assignment 386 **/ 387 public static void printRoomInfo(PrintWriter pw, TimetableModel model, Assignment<Lecture, Placement> assignment) { 388 pw.println("Room info:"); 389 pw.println("id, name, size, used_day, used_total"); 390 int firstDaySlot = model.getProperties().getPropertyInt("General.FirstDaySlot", Constants.DAY_SLOTS_FIRST); 391 int lastDaySlot = model.getProperties().getPropertyInt("General.LastDaySlot", Constants.DAY_SLOTS_LAST); 392 int firstWorkDay = model.getProperties().getPropertyInt("General.FirstWorkDay", 0); 393 int lastWorkDay = model.getProperties().getPropertyInt("General.LastWorkDay", Constants.NR_DAYS_WEEK - 1); 394 if (lastWorkDay < firstWorkDay) lastWorkDay += 7; 395 for (RoomConstraint rc : model.getRoomConstraints()) { 396 int used_day = 0; 397 int used_total = 0; 398 for (int day = firstWorkDay; day <= lastWorkDay; day++) { 399 for (int time = firstDaySlot; time <= lastDaySlot; time++) { 400 if (!rc.getContext(assignment).getPlacements((day % 7) * Constants.SLOTS_PER_DAY + time).isEmpty()) 401 used_day++; 402 } 403 } 404 for (int day = 0; day < Constants.DAY_CODES.length; day++) { 405 for (int time = 0; time < Constants.SLOTS_PER_DAY; time++) { 406 if (!rc.getContext(assignment).getPlacements((day % 7) * Constants.SLOTS_PER_DAY + time).isEmpty()) 407 used_total++; 408 } 409 } 410 pw.println(rc.getResourceId() + "," + rc.getName() + "," + rc.getCapacity() + "," + used_day + "," + used_total); 411 } 412 } 413 414 /** Class information 415 * @param pw writer 416 * @param model problem model 417 **/ 418 public static void printClassInfo(PrintWriter pw, TimetableModel model) { 419 pw.println("Class info:"); 420 pw.println("id, name, min_class_limit, max_class_limit, room2limit_ratio, half_hours"); 421 for (Lecture lecture : model.variables()) { 422 if (lecture.timeLocations().isEmpty()) { 423 pw.println(lecture.getClassId() + "," + lecture.getName() + "," + lecture.minClassLimit() + "," 424 + lecture.maxClassLimit() + "," + lecture.roomToLimitRatio() + "," 425 + "NO TIMES"); 426 sLogger.error(lecture.getName() + " has no times."); 427 continue; 428 } 429 TimeLocation time = lecture.timeLocations().get(0); 430 pw.println(lecture.getClassId() + "," + lecture.getName() + "," + lecture.minClassLimit() + "," 431 + lecture.maxClassLimit() + "," + lecture.roomToLimitRatio() + "," 432 + (time.getNrSlotsPerMeeting() * time.getNrMeetings())); 433 } 434 } 435 436 /** Create info.txt with some more information about the problem 437 * @param solution current solution 438 * @throws IOException an exception that may be thrown 439 **/ 440 public static void printSomeStuff(Solution<Lecture, Placement> solution) throws IOException { 441 TimetableModel model = (TimetableModel) solution.getModel(); 442 Assignment<Lecture, Placement> assignment = solution.getAssignment(); 443 File outDir = new File(model.getProperties().getProperty("General.Output", ".")); 444 PrintWriter pw = new PrintWriter(new FileWriter(outDir.toString() + File.separator + "info.txt")); 445 PrintWriter pwi = new PrintWriter(new FileWriter(outDir.toString() + File.separator + "info.csv")); 446 String name = new File(model.getProperties().getProperty("General.Input")).getName(); 447 pwi.println("Instance," + name.substring(0, name.lastIndexOf('.'))); 448 pw.println("Solution info: " + ToolBox.dict2string(solution.getInfo(), 1)); 449 pw.println("Bounds: " + ToolBox.dict2string(model.getBounds(assignment), 1)); 450 Map<String, String> info = solution.getInfo(); 451 for (String key : new TreeSet<String>(info.keySet())) { 452 if (key.equals("Memory usage")) 453 continue; 454 if (key.equals("Iteration")) 455 continue; 456 if (key.equals("Time")) 457 continue; 458 String value = info.get(key); 459 if (value.indexOf(' ') > 0) 460 value = value.substring(0, value.indexOf(' ')); 461 pwi.println(key + "," + value); 462 } 463 printRoomInfo(pw, model, assignment); 464 printClassInfo(pw, model); 465 long nrValues = 0; 466 long nrTimes = 0; 467 long nrRooms = 0; 468 double totalMaxNormTimePref = 0.0; 469 double totalMinNormTimePref = 0.0; 470 double totalNormTimePref = 0.0; 471 int totalMaxRoomPref = 0; 472 int totalMinRoomPref = 0; 473 int totalRoomPref = 0; 474 long nrStudentEnrls = 0; 475 long nrInevitableStudentConflicts = 0; 476 long nrJenrls = 0; 477 int nrHalfHours = 0; 478 int nrMeetings = 0; 479 int totalMinLimit = 0; 480 int totalMaxLimit = 0; 481 long nrReqRooms = 0; 482 int nrSingleValueVariables = 0; 483 int nrSingleTimeVariables = 0; 484 int nrSingleRoomVariables = 0; 485 long totalAvailableMinRoomSize = 0; 486 long totalAvailableMaxRoomSize = 0; 487 long totalRoomSize = 0; 488 long nrOneOrMoreRoomVariables = 0; 489 long nrOneRoomVariables = 0; 490 HashSet<Student> students = new HashSet<Student>(); 491 HashSet<Long> offerings = new HashSet<Long>(); 492 HashSet<Long> configs = new HashSet<Long>(); 493 HashSet<Long> subparts = new HashSet<Long>(); 494 int[] sizeLimits = new int[] { 0, 25, 50, 75, 100, 150, 200, 400 }; 495 int[] nrRoomsOfSize = new int[sizeLimits.length]; 496 int[] minRoomOfSize = new int[sizeLimits.length]; 497 int[] maxRoomOfSize = new int[sizeLimits.length]; 498 int[] totalUsedSlots = new int[sizeLimits.length]; 499 int[] totalUsedSeats = new int[sizeLimits.length]; 500 int[] totalUsedSeats2 = new int[sizeLimits.length]; 501 int firstDaySlot = model.getProperties().getPropertyInt("General.FirstDaySlot", Constants.DAY_SLOTS_FIRST); 502 int lastDaySlot = model.getProperties().getPropertyInt("General.LastDaySlot", Constants.DAY_SLOTS_LAST); 503 int firstWorkDay = model.getProperties().getPropertyInt("General.FirstWorkDay", 0); 504 int lastWorkDay = model.getProperties().getPropertyInt("General.LastWorkDay", Constants.NR_DAYS_WEEK - 1); 505 if (lastWorkDay < firstWorkDay) lastWorkDay += 7; 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(solution.getAssignment()).size(); 515 nrReqRooms += lect.getNrRooms(); 516 for (RoomLocation room: lect.roomLocations()) 517 if (room.getPreference() < Constants.sPreferenceLevelProhibited / 2) 518 nrRooms++; 519 for (TimeLocation time: lect.timeLocations()) 520 if (time.getPreference() < Constants.sPreferenceLevelProhibited / 2) 521 nrTimes ++; 522 totalMinLimit += lect.minClassLimit(); 523 totalMaxLimit += lect.maxClassLimit(); 524 if (!lect.values(solution.getAssignment()).isEmpty()) { 525 Placement p = lect.values(solution.getAssignment()).get(0); 526 nrMeetings += p.getTimeLocation().getNrMeetings(); 527 nrHalfHours += p.getTimeLocation().getNrMeetings() * p.getTimeLocation().getNrSlotsPerMeeting(); 528 totalMaxNormTimePref += lect.getMinMaxTimePreference()[1]; 529 totalMinNormTimePref += lect.getMinMaxTimePreference()[0]; 530 totalNormTimePref += Math.abs(lect.getMinMaxTimePreference()[1] - lect.getMinMaxTimePreference()[0]); 531 totalMaxRoomPref += lect.getMinMaxRoomPreference()[1]; 532 totalMinRoomPref += lect.getMinMaxRoomPreference()[0]; 533 totalRoomPref += Math.abs(lect.getMinMaxRoomPreference()[1] - lect.getMinMaxRoomPreference()[0]); 534 TimeLocation time = p.getTimeLocation(); 535 boolean hasRoomConstraint = false; 536 for (RoomLocation roomLocation : lect.roomLocations()) { 537 if (roomLocation.getRoomConstraint().getConstraint()) 538 hasRoomConstraint = true; 539 } 540 if (hasRoomConstraint && lect.getNrRooms() > 0) { 541 for (int d = firstWorkDay; d <= lastWorkDay; d++) { 542 if ((time.getDayCode() & Constants.DAY_CODES[d % 7]) == 0) 543 continue; 544 for (int t = Math.max(time.getStartSlot(), firstDaySlot); t <= Math.min(time.getStartSlot() + time.getLength() - 1, lastDaySlot); t++) { 545 for (int l = 0; l < sizeLimits.length; l++) { 546 if (sizeLimits[l] <= lect.minRoomSize()) { 547 totalUsedSlots[l] += lect.getNrRooms(); 548 totalUsedSeats[l] += lect.classLimit(assignment); 549 totalUsedSeats2[l] += lect.minRoomSize() * lect.getNrRooms(); 550 } 551 } 552 } 553 } 554 } 555 } 556 if (lect.values(solution.getAssignment()).size() == 1) { 557 nrSingleValueVariables++; 558 } 559 if (lect.timeLocations().size() == 1) { 560 nrSingleTimeVariables++; 561 } 562 if (lect.roomLocations().size() == 1) { 563 nrSingleRoomVariables++; 564 } 565 if (lect.getNrRooms() == 1) { 566 nrOneRoomVariables++; 567 } 568 if (lect.getNrRooms() > 0) { 569 nrOneOrMoreRoomVariables++; 570 } 571 if (!lect.roomLocations().isEmpty()) { 572 int minRoomSize = Integer.MAX_VALUE; 573 int maxRoomSize = Integer.MIN_VALUE; 574 for (RoomLocation rl : lect.roomLocations()) { 575 minRoomSize = Math.min(minRoomSize, rl.getRoomSize()); 576 maxRoomSize = Math.max(maxRoomSize, rl.getRoomSize()); 577 totalRoomSize += rl.getRoomSize(); 578 } 579 totalAvailableMinRoomSize += minRoomSize; 580 totalAvailableMaxRoomSize += maxRoomSize; 581 } 582 } 583 for (JenrlConstraint jenrl : model.getJenrlConstraints()) { 584 nrJenrls += jenrl.getJenrl(); 585 if ((jenrl.first()).timeLocations().size() == 1 && (jenrl.second()).timeLocations().size() == 1) { 586 TimeLocation t1 = jenrl.first().timeLocations().get(0); 587 TimeLocation t2 = jenrl.second().timeLocations().get(0); 588 if (t1.hasIntersection(t2)) { 589 nrInevitableStudentConflicts += jenrl.getJenrl(); 590 pw.println("Inevitable " + jenrl.getJenrl() + " student conflicts between " + jenrl.first() + " " 591 + t1 + " and " + jenrl.second() + " " + t2); 592 } else if (jenrl.first().values(solution.getAssignment()).size() == 1 && jenrl.second().values(solution.getAssignment()).size() == 1) { 593 Placement p1 = jenrl.first().values(solution.getAssignment()).get(0); 594 Placement p2 = jenrl.second().values(solution.getAssignment()).get(0); 595 if (JenrlConstraint.isInConflict(p1, p2, ((TimetableModel)p1.variable().getModel()).getDistanceMetric(), ((TimetableModel)p1.variable().getModel()).getStudentWorkDayLimit())) { 596 nrInevitableStudentConflicts += jenrl.getJenrl(); 597 pw.println("Inevitable " + jenrl.getJenrl() 598 + (p1.getTimeLocation().hasIntersection(p2.getTimeLocation()) ? "" : " distance") 599 + " student conflicts between " + p1 + " and " + p2); 600 } 601 } 602 } 603 } 604 int totalCommitedPlacements = 0; 605 for (Student student : students) { 606 if (student.getCommitedPlacements() != null) 607 totalCommitedPlacements += student.getCommitedPlacements().size(); 608 } 609 pw.println("Total number of classes: " + model.variables().size()); 610 pwi.println("Number of classes," + model.variables().size()); 611 pw.println("Total number of instructional offerings: " + offerings.size() + " (" 612 + sDoubleFormat.format(100.0 * offerings.size() / model.variables().size()) + "%)"); 613 // pwi.println("Number of instructional offerings,"+offerings.size()); 614 pw.println("Total number of configurations: " + configs.size() + " (" 615 + sDoubleFormat.format(100.0 * configs.size() / model.variables().size()) + "%)"); 616 pw.println("Total number of scheduling subparts: " + subparts.size() + " (" 617 + sDoubleFormat.format(100.0 * subparts.size() / model.variables().size()) + "%)"); 618 // pwi.println("Number of scheduling subparts,"+subparts.size()); 619 pw.println("Average number classes per subpart: " 620 + sDoubleFormat.format(1.0 * model.variables().size() / subparts.size())); 621 pwi.println("Avg. classes per instruction," 622 + sDoubleFormat.format(1.0 * model.variables().size() / subparts.size())); 623 pw.println("Average number classes per config: " 624 + sDoubleFormat.format(1.0 * model.variables().size() / configs.size())); 625 pw.println("Average number classes per offering: " 626 + sDoubleFormat.format(1.0 * model.variables().size() / offerings.size())); 627 pw.println("Total number of classes with only one value: " + nrSingleValueVariables + " (" 628 + sDoubleFormat.format(100.0 * nrSingleValueVariables / model.variables().size()) + "%)"); 629 pw.println("Total number of classes with only one time: " + nrSingleTimeVariables + " (" 630 + sDoubleFormat.format(100.0 * nrSingleTimeVariables / model.variables().size()) + "%)"); 631 pw.println("Total number of classes with only one room: " + nrSingleRoomVariables + " (" 632 + sDoubleFormat.format(100.0 * nrSingleRoomVariables / model.variables().size()) + "%)"); 633 pwi.println("Classes with single value," + nrSingleValueVariables); 634 // pwi.println("Classes with only one time/room,"+nrSingleTimeVariables+"/"+nrSingleRoomVariables); 635 pw.println("Total number of classes requesting no room: " 636 + (model.variables().size() - nrOneOrMoreRoomVariables) 637 + " (" 638 + sDoubleFormat.format(100.0 * (model.variables().size() - nrOneOrMoreRoomVariables) 639 / model.variables().size()) + "%)"); 640 pw.println("Total number of classes requesting one room: " + nrOneRoomVariables + " (" 641 + sDoubleFormat.format(100.0 * nrOneRoomVariables / model.variables().size()) + "%)"); 642 pw.println("Total number of classes requesting one or more rooms: " + nrOneOrMoreRoomVariables + " (" 643 + sDoubleFormat.format(100.0 * nrOneOrMoreRoomVariables / model.variables().size()) + "%)"); 644 // pwi.println("% classes requesting no room,"+sDoubleFormat.format(100.0*(model.variables().size()-nrOneOrMoreRoomVariables)/model.variables().size())+"%"); 645 // pwi.println("% classes requesting one room,"+sDoubleFormat.format(100.0*nrOneRoomVariables/model.variables().size())+"%"); 646 // pwi.println("% classes requesting two or more rooms,"+sDoubleFormat.format(100.0*(nrOneOrMoreRoomVariables-nrOneRoomVariables)/model.variables().size())+"%"); 647 pw.println("Average number of requested rooms: " 648 + sDoubleFormat.format(1.0 * nrReqRooms / model.variables().size())); 649 pw.println("Average minimal class limit: " 650 + sDoubleFormat.format(1.0 * totalMinLimit / model.variables().size())); 651 pw.println("Average maximal class limit: " 652 + sDoubleFormat.format(1.0 * totalMaxLimit / model.variables().size())); 653 // pwi.println("Average class limit,"+sDoubleFormat.format(1.0*(totalMinLimit+totalMaxLimit)/(2*model.variables().size()))); 654 pw.println("Average number of placements: " + sDoubleFormat.format(1.0 * nrValues / model.variables().size())); 655 // pwi.println("Average domain size,"+sDoubleFormat.format(1.0*nrValues/model.variables().size())); 656 pwi.println("Avg. domain size," + sDoubleFormat.format(1.0 * nrValues / model.variables().size())); 657 pw.println("Average number of time locations: " 658 + sDoubleFormat.format(1.0 * nrTimes / model.variables().size())); 659 pwi.println("Avg. number of avail. times/rooms," 660 + sDoubleFormat.format(1.0 * nrTimes / model.variables().size()) + "/" 661 + sDoubleFormat.format(1.0 * nrRooms / model.variables().size())); 662 pw.println("Average number of room locations: " 663 + sDoubleFormat.format(1.0 * nrRooms / model.variables().size())); 664 pw.println("Average minimal requested room size: " 665 + sDoubleFormat.format(1.0 * totalAvailableMinRoomSize / nrOneOrMoreRoomVariables)); 666 pw.println("Average maximal requested room size: " 667 + sDoubleFormat.format(1.0 * totalAvailableMaxRoomSize / nrOneOrMoreRoomVariables)); 668 pw.println("Average requested room sizes: " + sDoubleFormat.format(1.0 * totalRoomSize / nrRooms)); 669 pwi.println("Average requested room size," + sDoubleFormat.format(1.0 * totalRoomSize / nrRooms)); 670 pw.println("Average maximum normalized time preference: " 671 + sDoubleFormat.format(totalMaxNormTimePref / model.variables().size())); 672 pw.println("Average minimum normalized time preference: " 673 + sDoubleFormat.format(totalMinNormTimePref / model.variables().size())); 674 pw.println("Average normalized time preference," 675 + sDoubleFormat.format(totalNormTimePref / model.variables().size())); 676 pw.println("Average maximum room preferences: " 677 + sDoubleFormat.format(1.0 * totalMaxRoomPref / nrOneOrMoreRoomVariables)); 678 pw.println("Average minimum room preferences: " 679 + sDoubleFormat.format(1.0 * totalMinRoomPref / nrOneOrMoreRoomVariables)); 680 pw.println("Average room preferences," + sDoubleFormat.format(1.0 * totalRoomPref / nrOneOrMoreRoomVariables)); 681 pw.println("Total number of students:" + students.size()); 682 pwi.println("Number of students," + students.size()); 683 pwi.println("Number of inevitable student conflicts," + nrInevitableStudentConflicts); 684 pw.println("Total amount of student enrollments: " + nrStudentEnrls); 685 pwi.println("Number of student enrollments," + nrStudentEnrls); 686 pw.println("Total amount of joined enrollments: " + nrJenrls); 687 pwi.println("Number of joint student enrollments," + nrJenrls); 688 pw.println("Average number of students: " 689 + sDoubleFormat.format(1.0 * students.size() / model.variables().size())); 690 pw.println("Average number of enrollemnts (per student): " 691 + sDoubleFormat.format(1.0 * nrStudentEnrls / students.size())); 692 pwi.println("Avg. number of classes per student," 693 + sDoubleFormat.format(1.0 * nrStudentEnrls / students.size())); 694 pwi.println("Avg. number of committed classes per student," 695 + sDoubleFormat.format(1.0 * totalCommitedPlacements / students.size())); 696 pw.println("Total amount of inevitable student conflicts: " + nrInevitableStudentConflicts + " (" 697 + sDoubleFormat.format(100.0 * nrInevitableStudentConflicts / nrStudentEnrls) + "%)"); 698 pw.println("Average number of meetings (per class): " 699 + sDoubleFormat.format(1.0 * nrMeetings / model.variables().size())); 700 pw.println("Average number of hours per class: " 701 + sDoubleFormat.format(1.0 * nrHalfHours / model.variables().size() / 12.0)); 702 pwi.println("Avg. number of meetings per class," 703 + sDoubleFormat.format(1.0 * nrMeetings / model.variables().size())); 704 pwi.println("Avg. number of hours per class," 705 + sDoubleFormat.format(1.0 * nrHalfHours / model.variables().size() / 12.0)); 706 int minRoomSize = Integer.MAX_VALUE; 707 int maxRoomSize = Integer.MIN_VALUE; 708 int nrDistancePairs = 0; 709 double maxRoomDistance = Double.MIN_VALUE; 710 double totalRoomDistance = 0.0; 711 int[] totalAvailableSlots = new int[sizeLimits.length]; 712 int[] totalAvailableSeats = new int[sizeLimits.length]; 713 int nrOfRooms = 0; 714 totalRoomSize = 0; 715 for (RoomConstraint rc : model.getRoomConstraints()) { 716 if (rc.variables().isEmpty()) continue; 717 nrOfRooms++; 718 minRoomSize = Math.min(minRoomSize, rc.getCapacity()); 719 maxRoomSize = Math.max(maxRoomSize, rc.getCapacity()); 720 for (int l = 0; l < sizeLimits.length; l++) { 721 if (sizeLimits[l] <= rc.getCapacity() 722 && (l + 1 == sizeLimits.length || rc.getCapacity() < sizeLimits[l + 1])) { 723 nrRoomsOfSize[l]++; 724 if (minRoomOfSize[l] == 0) 725 minRoomOfSize[l] = rc.getCapacity(); 726 else 727 minRoomOfSize[l] = Math.min(minRoomOfSize[l], rc.getCapacity()); 728 if (maxRoomOfSize[l] == 0) 729 maxRoomOfSize[l] = rc.getCapacity(); 730 else 731 maxRoomOfSize[l] = Math.max(maxRoomOfSize[l], rc.getCapacity()); 732 } 733 } 734 totalRoomSize += rc.getCapacity(); 735 if (rc.getPosX() != null && rc.getPosY() != null) { 736 for (RoomConstraint rc2 : model.getRoomConstraints()) { 737 if (rc2.getResourceId().compareTo(rc.getResourceId()) > 0 && rc2.getPosX() != null && rc2.getPosY() != null) { 738 double distance = ((TimetableModel)solution.getModel()).getDistanceMetric().getDistanceInMinutes(rc.getId(), rc.getPosX(), rc.getPosY(), rc2.getId(), rc2.getPosX(), rc2.getPosY()); 739 totalRoomDistance += distance; 740 nrDistancePairs++; 741 maxRoomDistance = Math.max(maxRoomDistance, distance); 742 } 743 } 744 } 745 for (int d = firstWorkDay; d <= lastWorkDay; d++) { 746 for (int t = firstDaySlot; t <= lastDaySlot; t++) { 747 if (rc.isAvailable((d % 7) * Constants.SLOTS_PER_DAY + t)) { 748 for (int l = 0; l < sizeLimits.length; l++) { 749 if (sizeLimits[l] <= rc.getCapacity()) { 750 totalAvailableSlots[l]++; 751 totalAvailableSeats[l] += rc.getCapacity(); 752 } 753 } 754 } 755 } 756 } 757 } 758 pw.println("Total number of rooms: " + nrOfRooms); 759 pwi.println("Number of rooms," + nrOfRooms); 760 pw.println("Minimal room size: " + minRoomSize); 761 pw.println("Maximal room size: " + maxRoomSize); 762 pwi.println("Room size min/max," + minRoomSize + "/" + maxRoomSize); 763 pw.println("Average room size: " 764 + sDoubleFormat.format(1.0 * totalRoomSize / model.getRoomConstraints().size())); 765 pw.println("Maximal distance between two rooms: " + sDoubleFormat.format(maxRoomDistance)); 766 pw.println("Average distance between two rooms: " 767 + sDoubleFormat.format(totalRoomDistance / nrDistancePairs)); 768 pwi.println("Average distance between two rooms [min]," 769 + sDoubleFormat.format(totalRoomDistance / nrDistancePairs)); 770 pwi.println("Maximal distance between two rooms [min]," + sDoubleFormat.format(maxRoomDistance)); 771 for (int l = 0; l < sizeLimits.length; l++) {// sizeLimits.length;l++) { 772 pwi.println("\"Room frequency (size>=" + sizeLimits[l] + ", used/avaiable times)\"," 773 + sDoubleFormat.format(100.0 * totalUsedSlots[l] / totalAvailableSlots[l]) + "%"); 774 pwi.println("\"Room utilization (size>=" + sizeLimits[l] + ", used/available seats)\"," 775 + sDoubleFormat.format(100.0 * totalUsedSeats[l] / totalAvailableSeats[l]) + "%"); 776 pwi.println("\"Number of rooms (size>=" + sizeLimits[l] + ")\"," + nrRoomsOfSize[l]); 777 pwi.println("\"Min/max room size (size>=" + sizeLimits[l] + ")\"," + minRoomOfSize[l] + "-" 778 + maxRoomOfSize[l]); 779 // pwi.println("\"Room utilization (size>="+sizeLimits[l]+", minRoomSize)\","+sDoubleFormat.format(100.0*totalUsedSeats2[l]/totalAvailableSeats[l])+"%"); 780 } 781 pw.println("Average hours available: " 782 + sDoubleFormat.format(1.0 * totalAvailableSlots[0] / nrOfRooms / 12.0)); 783 int totalInstructedClasses = 0; 784 for (InstructorConstraint ic : model.getInstructorConstraints()) { 785 totalInstructedClasses += ic.variables().size(); 786 } 787 pw.println("Total number of instructors: " + model.getInstructorConstraints().size()); 788 pwi.println("Number of instructors," + model.getInstructorConstraints().size()); 789 pw.println("Total class-instructor assignments: " + totalInstructedClasses + " (" 790 + sDoubleFormat.format(100.0 * totalInstructedClasses / model.variables().size()) + "%)"); 791 pwi.println("Number of class-instructor assignments," + totalInstructedClasses); 792 pw.println("Average classes per instructor: " 793 + sDoubleFormat.format(1.0 * totalInstructedClasses / model.getInstructorConstraints().size())); 794 pwi.println("Average classes per instructor," 795 + sDoubleFormat.format(1.0 * totalInstructedClasses / model.getInstructorConstraints().size())); 796 // pw.println("Average hours available: "+sDoubleFormat.format(1.0*totalAvailableSlots/model.getInstructorConstraints().size()/12.0)); 797 // pwi.println("Instructor availability [h],"+sDoubleFormat.format(1.0*totalAvailableSlots/model.getInstructorConstraints().size()/12.0)); 798 int nrGroupConstraints = model.getGroupConstraints().size() + model.getSpreadConstraints().size(); 799 int nrHardGroupConstraints = 0; 800 int nrVarsInGroupConstraints = 0; 801 for (GroupConstraint gc : model.getGroupConstraints()) { 802 if (gc.isHard()) 803 nrHardGroupConstraints++; 804 nrVarsInGroupConstraints += gc.variables().size(); 805 } 806 for (SpreadConstraint sc : model.getSpreadConstraints()) { 807 nrVarsInGroupConstraints += sc.variables().size(); 808 } 809 pw.println("Total number of group constraints: " + nrGroupConstraints + " (" 810 + sDoubleFormat.format(100.0 * nrGroupConstraints / model.variables().size()) + "%)"); 811 // pwi.println("Number of group constraints,"+nrGroupConstraints); 812 pw.println("Total number of hard group constraints: " + nrHardGroupConstraints + " (" 813 + sDoubleFormat.format(100.0 * nrHardGroupConstraints / model.variables().size()) + "%)"); 814 // pwi.println("Number of hard group constraints,"+nrHardGroupConstraints); 815 pw.println("Average classes per group constraint: " 816 + sDoubleFormat.format(1.0 * nrVarsInGroupConstraints / nrGroupConstraints)); 817 // pwi.println("Average classes per group constraint,"+sDoubleFormat.format(1.0*nrVarsInGroupConstraints/nrGroupConstraints)); 818 pwi.println("Avg. number distribution constraints per class," 819 + sDoubleFormat.format(1.0 * nrVarsInGroupConstraints / model.variables().size())); 820 pwi.println("Joint enrollment constraints," + model.getJenrlConstraints().size()); 821 pw.flush(); 822 pw.close(); 823 pwi.flush(); 824 pwi.close(); 825 } 826 827 public static void saveOutputCSV(Solution<Lecture, Placement> s, File file) { 828 try { 829 DecimalFormat dx = new DecimalFormat("000"); 830 PrintWriter w = new PrintWriter(new FileWriter(file)); 831 TimetableModel m = (TimetableModel) s.getModel(); 832 int firstDaySlot = m.getProperties().getPropertyInt("General.FirstDaySlot", Constants.DAY_SLOTS_FIRST); 833 int lastDaySlot = m.getProperties().getPropertyInt("General.LastDaySlot", Constants.DAY_SLOTS_LAST); 834 int firstWorkDay = m.getProperties().getPropertyInt("General.FirstWorkDay", 0); 835 int lastWorkDay = m.getProperties().getPropertyInt("General.LastWorkDay", Constants.NR_DAYS_WEEK - 1); 836 if (lastWorkDay < firstWorkDay) lastWorkDay += 7; 837 Assignment<Lecture, Placement> a = s.getAssignment(); 838 int idx = 1; 839 w.println("000." + dx.format(idx++) + " Assigned variables," + a.nrAssignedVariables()); 840 w.println("000." + dx.format(idx++) + " Time [sec]," + sDoubleFormat.format(s.getBestTime())); 841 w.println("000." + dx.format(idx++) + " Hard student conflicts," + Math.round(m.getCriterion(StudentHardConflict.class).getValue(a))); 842 if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true)) 843 w.println("000." + dx.format(idx++) + " Distance student conf.," + Math.round(m.getCriterion(StudentDistanceConflict.class).getValue(a))); 844 w.println("000." + dx.format(idx++) + " Student conflicts," + Math.round(m.getCriterion(StudentConflict.class).getValue(a))); 845 w.println("000." + dx.format(idx++) + " Committed student conflicts," + Math.round(m.getCriterion(StudentCommittedConflict.class).getValue(a))); 846 w.println("000." + dx.format(idx++) + " All Student conflicts," 847 + Math.round(m.getCriterion(StudentConflict.class).getValue(a) + m.getCriterion(StudentCommittedConflict.class).getValue(a))); 848 w.println("000." + dx.format(idx++) + " Time preferences," 849 + sDoubleFormat.format( m.getCriterion(TimePreferences.class).getValue(a))); 850 w.println("000." + dx.format(idx++) + " Room preferences," + Math.round(m.getCriterion(RoomPreferences.class).getValue(a))); 851 w.println("000." + dx.format(idx++) + " Useless half-hours," + Math.round(m.getCriterion(UselessHalfHours.class).getValue(a))); 852 w.println("000." + dx.format(idx++) + " Broken time patterns," + Math.round(m.getCriterion(BrokenTimePatterns.class).getValue(a))); 853 w.println("000." + dx.format(idx++) + " Too big room," + Math.round(m.getCriterion(TooBigRooms.class).getValue(a))); 854 w.println("000." + dx.format(idx++) + " Distribution preferences," + sDoubleFormat.format(m.getCriterion(DistributionPreferences.class).getValue(a))); 855 if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true)) 856 w.println("000." + dx.format(idx++) + " Back-to-back instructor pref.," + Math.round(m.getCriterion(BackToBackInstructorPreferences.class).getValue(a))); 857 if (m.getProperties().getPropertyBoolean("General.DeptBalancing", true)) { 858 w.println("000." + dx.format(idx++) + " Dept. balancing penalty," + sDoubleFormat.format(m.getCriterion(DepartmentBalancingPenalty.class).getValue(a))); 859 } 860 w.println("000." + dx.format(idx++) + " Same subpart balancing penalty," + sDoubleFormat.format(m.getCriterion(SameSubpartBalancingPenalty.class).getValue(a))); 861 if (m.getProperties().getPropertyBoolean("General.MPP", false)) { 862 Map<String, Double> mppInfo = ((UniversalPerturbationsCounter)((Perturbations)m.getCriterion(Perturbations.class)).getPerturbationsCounter()).getCompactInfo(a, m, false, false); 863 int pidx = 51; 864 w.println("000." + dx.format(pidx++) + " Perturbation penalty," + sDoubleFormat.format(m.getCriterion(Perturbations.class).getValue(a))); 865 w.println("000." + dx.format(pidx++) + " Additional perturbations," + m.perturbVariables(a).size()); 866 int nrPert = 0, nrStudentPert = 0; 867 for (Lecture lecture : m.variables()) { 868 if (lecture.getInitialAssignment() != null) 869 continue; 870 nrPert++; 871 nrStudentPert += lecture.classLimit(a); 872 } 873 w.println("000." + dx.format(pidx++) + " Given perturbations," + nrPert); 874 w.println("000." + dx.format(pidx++) + " Given student perturbations," + nrStudentPert); 875 for (String key : new TreeSet<String>(mppInfo.keySet())) { 876 Double value = mppInfo.get(key); 877 w.println("000." + dx.format(pidx++) + " " + key + "," + sDoubleFormat.format(value)); 878 } 879 } 880 HashSet<Student> students = new HashSet<Student>(); 881 int enrls = 0; 882 int minRoomPref = 0, maxRoomPref = 0; 883 int minGrPref = 0, maxGrPref = 0; 884 int minTimePref = 0, maxTimePref = 0; 885 int worstInstrPref = 0; 886 HashSet<Constraint<Lecture, Placement>> used = new HashSet<Constraint<Lecture, Placement>>(); 887 for (Lecture lecture : m.variables()) { 888 enrls += (lecture.students() == null ? 0 : lecture.students().size()); 889 students.addAll(lecture.students()); 890 891 int[] minMaxRoomPref = lecture.getMinMaxRoomPreference(); 892 maxRoomPref += minMaxRoomPref[1] - minMaxRoomPref[0]; 893 894 double[] minMaxTimePref = lecture.getMinMaxTimePreference(); 895 maxTimePref += minMaxTimePref[1] - minMaxTimePref[0]; 896 for (Constraint<Lecture, Placement> c : lecture.constraints()) { 897 if (!used.add(c)) 898 continue; 899 900 if (c instanceof InstructorConstraint) { 901 InstructorConstraint ic = (InstructorConstraint) c; 902 worstInstrPref += ic.getWorstPreference(); 903 } 904 905 if (c instanceof GroupConstraint) { 906 GroupConstraint gc = (GroupConstraint) c; 907 if (gc.isHard()) 908 continue; 909 maxGrPref += Math.abs(gc.getPreference()) * (1 + (gc.variables().size() * (gc.variables().size() - 1)) / 2); 910 } 911 } 912 } 913 int totalCommitedPlacements = 0; 914 for (Student student : students) { 915 if (student.getCommitedPlacements() != null) 916 totalCommitedPlacements += student.getCommitedPlacements().size(); 917 } 918 HashMap<Long, List<Lecture>> subs = new HashMap<Long, List<Lecture>>(); 919 for (Lecture lecture : m.variables()) { 920 if (lecture.isCommitted() || lecture.getScheduler() == null) 921 continue; 922 List<Lecture> vars = subs.get(lecture.getScheduler()); 923 if (vars == null) { 924 vars = new ArrayList<Lecture>(); 925 subs.put(lecture.getScheduler(), vars); 926 } 927 vars.add(lecture); 928 } 929 int bidx = 101; 930 w.println("000." + dx.format(bidx++) + " Assigned variables max," + m.variables().size()); 931 w.println("000." + dx.format(bidx++) + " Student enrollments," + enrls); 932 w.println("000." + dx.format(bidx++) + " Student commited enrollments," + totalCommitedPlacements); 933 w.println("000." + dx.format(bidx++) + " All student enrollments," + (enrls + totalCommitedPlacements)); 934 w.println("000." + dx.format(bidx++) + " Time preferences min," + minTimePref); 935 w.println("000." + dx.format(bidx++) + " Time preferences max," + maxTimePref); 936 w.println("000." + dx.format(bidx++) + " Room preferences min," + minRoomPref); 937 w.println("000." + dx.format(bidx++) + " Room preferences max," + maxRoomPref); 938 w.println("000." + dx.format(bidx++) + " Useless half-hours max," + 939 (Constants.sPreferenceLevelStronglyDiscouraged * m.getRoomConstraints().size() * (lastDaySlot - firstDaySlot + 1) * (lastWorkDay - firstWorkDay + 1))); 940 w.println("000." + dx.format(bidx++) + " Too big room max," + (Constants.sPreferenceLevelStronglyDiscouraged * m.variables().size())); 941 w.println("000." + dx.format(bidx++) + " Distribution preferences min," + minGrPref); 942 w.println("000." + dx.format(bidx++) + " Distribution preferences max," + maxGrPref); 943 w.println("000." + dx.format(bidx++) + " Back-to-back instructor pref max," + worstInstrPref); 944 TooBigRooms tbr = (TooBigRooms)m.getCriterion(TooBigRooms.class); 945 for (Long scheduler: new TreeSet<Long>(subs.keySet())) { 946 List<Lecture> vars = subs.get(scheduler); 947 idx = 001; 948 bidx = 101; 949 int nrAssg = 0; 950 enrls = 0; 951 int roomPref = 0; 952 minRoomPref = 0; 953 maxRoomPref = 0; 954 double timePref = 0; 955 minTimePref = 0; 956 maxTimePref = 0; 957 double grPref = 0; 958 minGrPref = 0; 959 maxGrPref = 0; 960 long allSC = 0, hardSC = 0, distSC = 0; 961 int instPref = 0; 962 worstInstrPref = 0; 963 int spreadPen = 0, deptSpreadPen = 0; 964 int tooBigRooms = 0; 965 int rcs = 0, uselessSlots = 0; 966 used = new HashSet<Constraint<Lecture, Placement>>(); 967 for (Lecture lecture : vars) { 968 if (lecture.isCommitted()) 969 continue; 970 enrls += lecture.students().size(); 971 Placement placement = a.getValue(lecture); 972 if (placement != null) { 973 nrAssg++; 974 } 975 976 int[] minMaxRoomPref = lecture.getMinMaxRoomPreference(); 977 minRoomPref += minMaxRoomPref[0]; 978 maxRoomPref += minMaxRoomPref[1]; 979 980 double[] minMaxTimePref = lecture.getMinMaxTimePreference(); 981 minTimePref += minMaxTimePref[0]; 982 maxTimePref += minMaxTimePref[1]; 983 984 if (placement != null) { 985 roomPref += placement.getRoomPreference(); 986 timePref += placement.getTimeLocation().getNormalizedPreference(); 987 if (tbr != null) tooBigRooms += tbr.getPreference(placement); 988 } 989 990 for (Constraint<Lecture, Placement> c : lecture.constraints()) { 991 if (!used.add(c)) 992 continue; 993 994 if (c instanceof InstructorConstraint) { 995 InstructorConstraint ic = (InstructorConstraint) c; 996 instPref += ic.getPreference(a); 997 worstInstrPref += ic.getWorstPreference(); 998 } 999 1000 if (c instanceof DepartmentSpreadConstraint) { 1001 DepartmentSpreadConstraint dsc = (DepartmentSpreadConstraint) c; 1002 deptSpreadPen += dsc.getPenalty(a); 1003 } else if (c instanceof SpreadConstraint) { 1004 SpreadConstraint sc = (SpreadConstraint) c; 1005 spreadPen += sc.getPenalty(a); 1006 } 1007 1008 if (c instanceof GroupConstraint) { 1009 GroupConstraint gc = (GroupConstraint) c; 1010 if (gc.isHard()) 1011 continue; 1012 minGrPref -= Math.abs(gc.getPreference()); 1013 maxGrPref += 0; 1014 grPref += Math.min(0, gc.getCurrentPreference(a)); 1015 // minGrPref += Math.min(gc.getPreference(), 0); 1016 // maxGrPref += Math.max(gc.getPreference(), 0); 1017 // grPref += gc.getCurrentPreference(); 1018 } 1019 1020 if (c instanceof JenrlConstraint) { 1021 JenrlConstraint jc = (JenrlConstraint) c; 1022 if (!jc.isInConflict(a) || !jc.isOfTheSameProblem()) 1023 continue; 1024 Lecture l1 = jc.first(); 1025 Lecture l2 = jc.second(); 1026 allSC += jc.getJenrl(); 1027 if (l1.areStudentConflictsHard(l2)) 1028 hardSC += jc.getJenrl(); 1029 Placement p1 = a.getValue(l1); 1030 Placement p2 = a.getValue(l2); 1031 if (!p1.getTimeLocation().hasIntersection(p2.getTimeLocation())) 1032 distSC += jc.getJenrl(); 1033 } 1034 1035 if (c instanceof RoomConstraint) { 1036 RoomConstraint rc = (RoomConstraint) c; 1037 uselessSlots += UselessHalfHours.countUselessSlotsHalfHours(rc.getContext(a)) + BrokenTimePatterns.countUselessSlotsBrokenTimePatterns(rc.getContext(a)); 1038 rcs++; 1039 } 1040 } 1041 } 1042 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Assigned variables," + nrAssg); 1043 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Assigned variables max," + vars.size()); 1044 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Hard student conflicts," + hardSC); 1045 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Student enrollments," + enrls); 1046 if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true)) 1047 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Distance student conf.," + distSC); 1048 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Student conflicts," + allSC); 1049 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Time preferences," + timePref); 1050 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Time preferences min," + minTimePref); 1051 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Time preferences max," + maxTimePref); 1052 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Room preferences," + roomPref); 1053 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Room preferences min," + minRoomPref); 1054 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Room preferences max," + maxRoomPref); 1055 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Useless half-hours," + uselessSlots); 1056 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Useless half-hours max," + 1057 (Constants.sPreferenceLevelStronglyDiscouraged * rcs * (lastDaySlot - firstDaySlot + 1) * (lastWorkDay - firstWorkDay + 1))); 1058 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Too big room," + tooBigRooms); 1059 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Too big room max," + (Constants.sPreferenceLevelStronglyDiscouraged * vars.size())); 1060 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Distribution preferences," + grPref); 1061 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Distribution preferences min," + minGrPref); 1062 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Distribution preferences max," + maxGrPref); 1063 if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true)) 1064 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Back-to-back instructor pref," + instPref); 1065 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Back-to-back instructor pref max," + worstInstrPref); 1066 if (m.getProperties().getPropertyBoolean("General.DeptBalancing", true)) { 1067 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Department balancing penalty," + sDoubleFormat.format((deptSpreadPen) / 12.0)); 1068 } 1069 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Same subpart balancing penalty," + sDoubleFormat.format((spreadPen) / 12.0)); 1070 } 1071 w.flush(); 1072 w.close(); 1073 } catch (java.io.IOException io) { 1074 sLogger.error(io.getMessage(), io); 1075 } 1076 } 1077 1078 private class ShutdownHook extends Thread { 1079 Solver<Lecture, Placement> iSolver = null; 1080 1081 private ShutdownHook(Solver<Lecture, Placement> solver) { 1082 setName("ShutdownHook"); 1083 iSolver = solver; 1084 } 1085 1086 @Override 1087 public void run() { 1088 try { 1089 if (iSolver.isRunning()) iSolver.stopSolver(); 1090 Solution<Lecture, Placement> solution = iSolver.lastSolution(); 1091 long lastIt = solution.getIteration(); 1092 double lastTime = solution.getTime(); 1093 DataProperties properties = iSolver.getProperties(); 1094 TimetableModel model = (TimetableModel) solution.getModel(); 1095 File outDir = new File(properties.getProperty("General.Output", ".")); 1096 1097 if (solution.getBestInfo() != null) { 1098 Solution<Lecture, Placement> bestSolution = solution;// .cloneBest(); 1099 sLogger.info("Last solution: " + ToolBox.dict2string(bestSolution.getExtendedInfo(), 1)); 1100 sLogger.info("Best solution (before restore): " + ToolBox.dict2string(bestSolution.getBestInfo(), 1)); 1101 bestSolution.restoreBest(); 1102 sLogger.info("Best solution: " + ToolBox.dict2string(bestSolution.getExtendedInfo(), 1)); 1103 if (properties.getPropertyBoolean("General.SwitchStudents", true)) 1104 ((TimetableModel) bestSolution.getModel()).switchStudents(bestSolution.getAssignment()); 1105 sLogger.info("Best solution: " + ToolBox.dict2string(bestSolution.getExtendedInfo(), 1)); 1106 saveOutputCSV(bestSolution, new File(outDir, "output.csv")); 1107 1108 printSomeStuff(bestSolution); 1109 1110 if (properties.getPropertyBoolean("General.Save", true)) { 1111 TimetableSaver saver = null; 1112 try { 1113 saver = (TimetableSaver) Class.forName(getTimetableSaverClass(properties)) 1114 .getConstructor(new Class[] { Solver.class }).newInstance(new Object[] { iSolver }); 1115 } catch (ClassNotFoundException e) { 1116 System.err.println(e.getClass().getSimpleName() + ": " + e.getMessage()); 1117 saver = new TimetableXMLSaver(iSolver); 1118 } 1119 if ((saver instanceof TimetableXMLSaver) && properties.getProperty("General.SolutionFile") != null) 1120 ((TimetableXMLSaver) saver).save(new File(properties.getProperty("General.SolutionFile"))); 1121 else 1122 saver.save(); 1123 } 1124 } else { 1125 sLogger.info("Last solution:" + ToolBox.dict2string(solution.getExtendedInfo(), 1)); 1126 } 1127 1128 iCSVFile.close(); 1129 1130 sLogger.info("Total number of done iteration steps:" + lastIt); 1131 sLogger.info("Achieved speed: " + sDoubleFormat.format(lastIt / lastTime) + " iterations/second"); 1132 1133 PrintWriter out = new PrintWriter(new FileWriter(new File(outDir, "solver.html"))); 1134 out.println("<html><title>Save log</title><body>"); 1135 out.println(Progress.getInstance(model).getHtmlLog(Progress.MSGLEVEL_TRACE, true)); 1136 out.println("</html>"); 1137 out.flush(); 1138 out.close(); 1139 Progress.removeInstance(model); 1140 1141 if (iStat != null) { 1142 PrintWriter cbs = new PrintWriter(new FileWriter(new File(outDir, "cbs.txt"))); 1143 cbs.println(iStat.toString()); 1144 cbs.flush(); cbs.close(); 1145 } 1146 1147 System.out.println("Unassigned variables: " + model.nrUnassignedVariables(solution.getAssignment())); 1148 } catch (Throwable t) { 1149 sLogger.error("Test failed.", t); 1150 } 1151 } 1152 } 1153}