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.apache.log4j.ConsoleAppender; 019import org.apache.log4j.FileAppender; 020import org.apache.log4j.Level; 021import org.apache.log4j.Logger; 022import org.apache.log4j.PatternLayout; 023import org.cpsolver.coursett.constraint.DepartmentSpreadConstraint; 024import org.cpsolver.coursett.constraint.GroupConstraint; 025import org.cpsolver.coursett.constraint.InstructorConstraint; 026import org.cpsolver.coursett.constraint.JenrlConstraint; 027import org.cpsolver.coursett.constraint.RoomConstraint; 028import org.cpsolver.coursett.constraint.SpreadConstraint; 029import org.cpsolver.coursett.criteria.BackToBackInstructorPreferences; 030import org.cpsolver.coursett.criteria.BrokenTimePatterns; 031import org.cpsolver.coursett.criteria.DepartmentBalancingPenalty; 032import org.cpsolver.coursett.criteria.DistributionPreferences; 033import org.cpsolver.coursett.criteria.Perturbations; 034import org.cpsolver.coursett.criteria.RoomPreferences; 035import org.cpsolver.coursett.criteria.SameSubpartBalancingPenalty; 036import org.cpsolver.coursett.criteria.StudentCommittedConflict; 037import org.cpsolver.coursett.criteria.StudentConflict; 038import org.cpsolver.coursett.criteria.StudentDistanceConflict; 039import org.cpsolver.coursett.criteria.StudentHardConflict; 040import org.cpsolver.coursett.criteria.TimePreferences; 041import org.cpsolver.coursett.criteria.TooBigRooms; 042import org.cpsolver.coursett.criteria.UselessHalfHours; 043import org.cpsolver.coursett.heuristics.UniversalPerturbationsCounter; 044import org.cpsolver.coursett.model.Lecture; 045import org.cpsolver.coursett.model.Placement; 046import org.cpsolver.coursett.model.RoomLocation; 047import org.cpsolver.coursett.model.Student; 048import org.cpsolver.coursett.model.TimeLocation; 049import org.cpsolver.coursett.model.TimetableModel; 050import org.cpsolver.ifs.assignment.Assignment; 051import org.cpsolver.ifs.assignment.DefaultParallelAssignment; 052import org.cpsolver.ifs.assignment.DefaultSingleAssignment; 053import org.cpsolver.ifs.extension.ConflictStatistics; 054import org.cpsolver.ifs.extension.Extension; 055import org.cpsolver.ifs.extension.MacPropagation; 056import org.cpsolver.ifs.model.Constraint; 057import org.cpsolver.ifs.solution.Solution; 058import org.cpsolver.ifs.solution.SolutionListener; 059import org.cpsolver.ifs.solver.ParallelSolver; 060import org.cpsolver.ifs.solver.Solver; 061import org.cpsolver.ifs.util.DataProperties; 062import org.cpsolver.ifs.util.Progress; 063import org.cpsolver.ifs.util.ProgressWriter; 064import org.cpsolver.ifs.util.ToolBox; 065 066 067/** 068 * A main class for running of the solver from command line. <br> 069 * <br> 070 * Usage:<br> 071 * java -Xmx1024m -jar coursett1.1.jar config.properties [input_file] 072 * [output_folder]<br> 073 * <br> 074 * See http://www.unitime.org for example configuration files and banchmark data 075 * sets.<br> 076 * <br> 077 * 078 * The test does the following steps: 079 * <ul> 080 * <li>Provided property file is loaded (see {@link DataProperties}). 081 * <li>Output folder is created (General.Output property) and loggings is setup 082 * (using log4j). 083 * <li>Input data are loaded (calling {@link TimetableLoader#load()}). 084 * <li>Solver is executed (see {@link Solver}). 085 * <li>Resultant solution is saved (calling {@link TimetableSaver#save()}, when 086 * General.Save property is set to true. 087 * </ul> 088 * Also, a log and a CSV (comma separated text file) is created in the output 089 * folder. 090 * 091 * @version CourseTT 1.3 (University Course Timetabling)<br> 092 * Copyright (C) 2006 - 2014 Tomas Muller<br> 093 * <a href="mailto:muller@unitime.org">muller@unitime.org</a><br> 094 * <a href="http://muller.unitime.org">http://muller.unitime.org</a><br> 095 * <br> 096 * This library is free software; you can redistribute it and/or modify 097 * it under the terms of the GNU Lesser General Public License as 098 * published by the Free Software Foundation; either version 3 of the 099 * License, or (at your option) any later version. <br> 100 * <br> 101 * This library is distributed in the hope that it will be useful, but 102 * WITHOUT ANY WARRANTY; without even the implied warranty of 103 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU 104 * Lesser General Public License for more details. <br> 105 * <br> 106 * You should have received a copy of the GNU Lesser General Public 107 * License along with this library; if not see 108 * <a href='http://www.gnu.org/licenses/'>http://www.gnu.org/licenses/</a>. 109 */ 110 111public class Test implements SolutionListener<Lecture, Placement> { 112 private static java.text.SimpleDateFormat sDateFormat = new java.text.SimpleDateFormat("yyMMdd_HHmmss", 113 java.util.Locale.US); 114 private static java.text.DecimalFormat sDoubleFormat = new java.text.DecimalFormat("0.000", 115 new java.text.DecimalFormatSymbols(Locale.US)); 116 private static org.apache.log4j.Logger sLogger = org.apache.log4j.Logger.getLogger(Test.class); 117 118 private PrintWriter iCSVFile = null; 119 120 private MacPropagation<Lecture, Placement> iProp = null; 121 private ConflictStatistics<Lecture, Placement> iStat = null; 122 private int iLastNotified = -1; 123 124 private boolean initialized = false; 125 private Solver<Lecture, Placement> iSolver = null; 126 127 /** Current version 128 * @return version string 129 **/ 130 public static String getVersionString() { 131 return "IFS Timetable Solver v" + Constants.getVersion() + " build" + Constants.getBuildNumber() + ", " 132 + Constants.getReleaseDate(); 133 } 134 135 /** Solver initialization 136 * @param solver current solver 137 **/ 138 public void init(Solver<Lecture, Placement> solver) { 139 iSolver = solver; 140 solver.currentSolution().addSolutionListener(this); 141 } 142 143 /** 144 * Setup log4j logging 145 * 146 * @param logFile log file 147 * @param debug true if debug messages should be logged (use -Ddebug=true to enable debug message) 148 */ 149 public static void setupLogging(File logFile, boolean debug) { 150 Logger root = Logger.getRootLogger(); 151 ConsoleAppender console = new ConsoleAppender(new PatternLayout("[%t] %m%n")); 152 console.setThreshold(Level.INFO); 153 root.addAppender(console); 154 if (logFile != null) { 155 try { 156 FileAppender file = new FileAppender(new PatternLayout("%d{dd-MMM-yy HH:mm:ss.SSS} [%t] %-5p %c{2}> %m%n"), logFile.getPath(), false); 157 file.setThreshold(Level.DEBUG); 158 root.addAppender(file); 159 } catch (IOException e) { 160 sLogger.fatal("Unable to configure logging, reason: " + e.getMessage(), e); 161 } 162 } 163 if (!debug) 164 root.setLevel(Level.INFO); 165 } 166 167 /** 168 * Return name of the class that is used for loading the data. This class 169 * needs to extend class {@link TimetableLoader}. It can be also defined in 170 * configuration, using TimetableLoader property. 171 **/ 172 private String getTimetableLoaderClass(DataProperties properties) { 173 String loader = properties.getProperty("TimetableLoader"); 174 if (loader != null) 175 return loader; 176 if (properties.getPropertyInt("General.InputVersion", -1) >= 0) 177 return "org.unitime.timetable.solver.TimetableDatabaseLoader"; 178 else 179 return "org.cpsolver.coursett.TimetableXMLLoader"; 180 } 181 182 /** 183 * Return name of the class that is used for loading the data. This class 184 * needs to extend class {@link TimetableSaver}. It can be also defined in 185 * configuration, using TimetableSaver property. 186 **/ 187 private String getTimetableSaverClass(DataProperties properties) { 188 String saver = properties.getProperty("TimetableSaver"); 189 if (saver != null) 190 return saver; 191 if (properties.getPropertyInt("General.InputVersion", -1) >= 0) 192 return "org.unitime.timetable.solver.TimetableDatabaseSaver"; 193 else 194 return "org.cpsolver.coursett.TimetableXMLSaver"; 195 } 196 197 /** 198 * Solver Test 199 * 200 * @param args 201 * command line arguments 202 */ 203 public Test(String[] args) { 204 try { 205 DataProperties properties = ToolBox.loadProperties(new java.io.File(args[0])); 206 properties.putAll(System.getProperties()); 207 properties.setProperty("General.Output", properties.getProperty("General.Output", ".") + File.separator + sDateFormat.format(new Date())); 208 if (args.length > 1) 209 properties.setProperty("General.Input", args[1]); 210 if (args.length > 2) 211 properties.setProperty("General.Output", args[2] + File.separator + (sDateFormat.format(new Date()))); 212 System.out.println("Output folder: " + properties.getProperty("General.Output")); 213 File outDir = new File(properties.getProperty("General.Output", ".")); 214 outDir.mkdirs(); 215 setupLogging(new File(outDir, "debug.log"), "true".equals(System.getProperty("debug", "false"))); 216 217 TimetableModel model = new TimetableModel(properties); 218 int nrSolvers = properties.getPropertyInt("Parallel.NrSolvers", 1); 219 Assignment<Lecture, Placement> assignment = (nrSolvers <= 1 ? new DefaultSingleAssignment<Lecture, Placement>() : new DefaultParallelAssignment<Lecture, Placement>()); 220 Progress.getInstance(model).addProgressListener(new ProgressWriter(System.out)); 221 Solver<Lecture, Placement> solver = (nrSolvers == 1 ? new Solver<Lecture, Placement>(properties) : new ParallelSolver<Lecture, Placement>(properties)); 222 223 TimetableLoader loader = (TimetableLoader) Class.forName(getTimetableLoaderClass(properties)) 224 .getConstructor(new Class[] { TimetableModel.class, Assignment.class }).newInstance(new Object[] { model, assignment }); 225 loader.load(); 226 227 solver.setInitalSolution(new Solution<Lecture, Placement>(model, assignment)); 228 init(solver); 229 230 iCSVFile = new PrintWriter(new FileWriter(outDir.toString() + File.separator + "stat.csv")); 231 String colSeparator = ";"; 232 iCSVFile.println("Assigned" 233 + colSeparator 234 + "Assigned[%]" 235 + colSeparator 236 + "Time[min]" 237 + colSeparator 238 + "Iter" 239 + colSeparator 240 + "IterYield[%]" 241 + colSeparator 242 + "Speed[it/s]" 243 + colSeparator 244 + "AddedPert" 245 + colSeparator 246 + "AddedPert[%]" 247 + colSeparator 248 + "HardStudentConf" 249 + colSeparator 250 + "StudentConf" 251 + colSeparator 252 + "DistStudentConf" 253 + colSeparator 254 + "CommitStudentConf" 255 + colSeparator 256 + "TimePref" 257 + colSeparator 258 + "RoomPref" 259 + colSeparator 260 + "DistInstrPref" 261 + colSeparator 262 + "GrConstPref" 263 + colSeparator 264 + "UselessHalfHours" 265 + colSeparator 266 + "BrokenTimePat" 267 + colSeparator 268 + "TooBigRooms" 269 + (iProp != null ? colSeparator + "GoodVars" + colSeparator + "GoodVars[%]" + colSeparator 270 + "GoodVals" + colSeparator + "GoodVals[%]" : "")); 271 iCSVFile.flush(); 272 273 Runtime.getRuntime().addShutdownHook(new ShutdownHook(solver)); 274 275 solver.start(); 276 try { 277 solver.getSolverThread().join(); 278 } catch (InterruptedException e) { 279 } 280 } catch (Throwable t) { 281 sLogger.error("Test failed.", t); 282 } 283 } 284 285 public static void main(String[] args) { 286 new Test(args); 287 } 288 289 @Override 290 public void bestCleared(Solution<Lecture, Placement> solution) { 291 } 292 293 @Override 294 public void bestRestored(Solution<Lecture, Placement> solution) { 295 } 296 297 @Override 298 public void bestSaved(Solution<Lecture, Placement> solution) { 299 notify(solution); 300 if (sLogger.isInfoEnabled()) 301 sLogger.info("**BEST[" + solution.getIteration() + "]** " + ((TimetableModel)solution.getModel()).toString(solution.getAssignment()) + 302 (solution.getFailedIterations() > 0 ? ", F:" + sDoubleFormat.format(100.0 * solution.getFailedIterations() / solution.getIteration()) + "%" : "")); 303 } 304 305 @Override 306 public void getInfo(Solution<Lecture, Placement> solution, Map<String, String> info) { 307 } 308 309 @Override 310 public void getInfo(Solution<Lecture, Placement> solution, Map<String, String> info, Collection<Lecture> variables) { 311 } 312 313 @Override 314 public void solutionUpdated(Solution<Lecture, Placement> solution) { 315 if (!initialized) { 316 for (Extension<Lecture, Placement> extension : iSolver.getExtensions()) { 317 if (MacPropagation.class.isInstance(extension)) 318 iProp = (MacPropagation<Lecture, Placement>) extension; 319 if (ConflictStatistics.class.isInstance(extension)) { 320 iStat = (ConflictStatistics<Lecture, Placement>) extension; 321 } 322 } 323 } 324 } 325 326 /** Add a line into the output CSV file when a enw best solution is found. 327 * @param solution current solution 328 **/ 329 public void notify(Solution<Lecture, Placement> solution) { 330 String colSeparator = ";"; 331 Assignment<Lecture, Placement> assignment = solution.getAssignment(); 332 if (assignment.nrAssignedVariables() < solution.getModel().countVariables() && iLastNotified == assignment.nrAssignedVariables()) 333 return; 334 iLastNotified = assignment.nrAssignedVariables(); 335 if (iCSVFile != null) { 336 TimetableModel model = (TimetableModel) solution.getModel(); 337 iCSVFile.print(model.variables().size() - model.nrUnassignedVariables(assignment)); 338 iCSVFile.print(colSeparator); 339 iCSVFile.print(sDoubleFormat.format(100.0 * assignment.nrAssignedVariables() / model.variables().size())); 340 iCSVFile.print(colSeparator); 341 iCSVFile.print(sDoubleFormat.format((solution.getTime()) / 60.0)); 342 iCSVFile.print(colSeparator); 343 iCSVFile.print(solution.getIteration()); 344 iCSVFile.print(colSeparator); 345 iCSVFile.print(sDoubleFormat.format(100.0 * assignment.nrAssignedVariables() / solution.getIteration())); 346 iCSVFile.print(colSeparator); 347 iCSVFile.print(sDoubleFormat.format((solution.getIteration()) / solution.getTime())); 348 iCSVFile.print(colSeparator); 349 iCSVFile.print(model.perturbVariables(assignment).size()); 350 iCSVFile.print(colSeparator); 351 iCSVFile.print(sDoubleFormat.format(100.0 * model.perturbVariables(assignment).size() / model.variables().size())); 352 iCSVFile.print(colSeparator); 353 iCSVFile.print(Math.round(solution.getModel().getCriterion(StudentHardConflict.class).getValue(assignment))); 354 iCSVFile.print(colSeparator); 355 iCSVFile.print(Math.round(solution.getModel().getCriterion(StudentConflict.class).getValue(assignment))); 356 iCSVFile.print(colSeparator); 357 iCSVFile.print(Math.round(solution.getModel().getCriterion(StudentDistanceConflict.class).getValue(assignment))); 358 iCSVFile.print(colSeparator); 359 iCSVFile.print(Math.round(solution.getModel().getCriterion(StudentCommittedConflict.class).getValue(assignment))); 360 iCSVFile.print(colSeparator); 361 iCSVFile.print(sDoubleFormat.format(solution.getModel().getCriterion(TimePreferences.class).getValue(assignment))); 362 iCSVFile.print(colSeparator); 363 iCSVFile.print(Math.round(solution.getModel().getCriterion(RoomPreferences.class).getValue(assignment))); 364 iCSVFile.print(colSeparator); 365 iCSVFile.print(Math.round(solution.getModel().getCriterion(BackToBackInstructorPreferences.class).getValue(assignment))); 366 iCSVFile.print(colSeparator); 367 iCSVFile.print(Math.round(solution.getModel().getCriterion(DistributionPreferences.class).getValue(assignment))); 368 iCSVFile.print(colSeparator); 369 iCSVFile.print(Math.round(solution.getModel().getCriterion(UselessHalfHours.class).getValue(assignment))); 370 iCSVFile.print(colSeparator); 371 iCSVFile.print(Math.round(solution.getModel().getCriterion(BrokenTimePatterns.class).getValue(assignment))); 372 iCSVFile.print(colSeparator); 373 iCSVFile.print(Math.round(solution.getModel().getCriterion(TooBigRooms.class).getValue(assignment))); 374 if (iProp != null) { 375 if (solution.getModel().nrUnassignedVariables(assignment) > 0) { 376 int goodVariables = 0; 377 long goodValues = 0; 378 long allValues = 0; 379 for (Lecture variable : ((TimetableModel) solution.getModel()).unassignedVariables(assignment)) { 380 goodValues += iProp.goodValues(assignment, variable).size(); 381 allValues += variable.values(solution.getAssignment()).size(); 382 if (!iProp.goodValues(assignment, variable).isEmpty()) 383 goodVariables++; 384 } 385 iCSVFile.print(colSeparator); 386 iCSVFile.print(goodVariables); 387 iCSVFile.print(colSeparator); 388 iCSVFile.print(sDoubleFormat.format(100.0 * goodVariables / solution.getModel().nrUnassignedVariables(assignment))); 389 iCSVFile.print(colSeparator); 390 iCSVFile.print(goodValues); 391 iCSVFile.print(colSeparator); 392 iCSVFile.print(sDoubleFormat.format(100.0 * goodValues / allValues)); 393 } else { 394 iCSVFile.print(colSeparator); 395 iCSVFile.print(colSeparator); 396 iCSVFile.print(colSeparator); 397 iCSVFile.print(colSeparator); 398 } 399 } 400 iCSVFile.println(); 401 iCSVFile.flush(); 402 } 403 } 404 405 /** Print room utilization 406 * @param pw writer 407 * @param model problem model 408 * @param assignment current assignment 409 **/ 410 public static void printRoomInfo(PrintWriter pw, TimetableModel model, Assignment<Lecture, Placement> assignment) { 411 pw.println("Room info:"); 412 pw.println("id, name, size, used_day, used_total"); 413 int firstDaySlot = model.getProperties().getPropertyInt("General.FirstDaySlot", Constants.DAY_SLOTS_FIRST); 414 int lastDaySlot = model.getProperties().getPropertyInt("General.LastDaySlot", Constants.DAY_SLOTS_LAST); 415 int firstWorkDay = model.getProperties().getPropertyInt("General.FirstWorkDay", 0); 416 int lastWorkDay = model.getProperties().getPropertyInt("General.LastWorkDay", Constants.NR_DAYS_WEEK - 1); 417 for (RoomConstraint rc : model.getRoomConstraints()) { 418 int used_day = 0; 419 int used_total = 0; 420 for (int day = firstWorkDay; day <= lastWorkDay; day++) { 421 for (int time = firstDaySlot; time <= lastDaySlot; time++) { 422 if (!rc.getContext(assignment).getPlacements(day * Constants.SLOTS_PER_DAY + time).isEmpty()) 423 used_day++; 424 } 425 } 426 for (int day = 0; day < Constants.DAY_CODES.length; day++) { 427 for (int time = 0; time < Constants.SLOTS_PER_DAY; time++) { 428 if (!rc.getContext(assignment).getPlacements(day * Constants.SLOTS_PER_DAY + time).isEmpty()) 429 used_total++; 430 } 431 } 432 pw.println(rc.getResourceId() + "," + rc.getName() + "," + rc.getCapacity() + "," + used_day + "," + used_total); 433 } 434 } 435 436 /** Class information 437 * @param pw writer 438 * @param model problem model 439 **/ 440 public static void printClassInfo(PrintWriter pw, TimetableModel model) { 441 pw.println("Class info:"); 442 pw.println("id, name, min_class_limit, max_class_limit, room2limit_ratio, half_hours"); 443 for (Lecture lecture : model.variables()) { 444 TimeLocation time = lecture.timeLocations().get(0); 445 pw.println(lecture.getClassId() + "," + lecture.getName() + "," + lecture.minClassLimit() + "," 446 + lecture.maxClassLimit() + "," + lecture.roomToLimitRatio() + "," 447 + (time.getNrSlotsPerMeeting() * time.getNrMeetings())); 448 } 449 } 450 451 /** Create info.txt with some more information about the problem 452 * @param solution current solution 453 * @throws IOException an exception that may be thrown 454 **/ 455 public static void printSomeStuff(Solution<Lecture, Placement> solution) throws IOException { 456 TimetableModel model = (TimetableModel) solution.getModel(); 457 Assignment<Lecture, Placement> assignment = solution.getAssignment(); 458 File outDir = new File(model.getProperties().getProperty("General.Output", ".")); 459 PrintWriter pw = new PrintWriter(new FileWriter(outDir.toString() + File.separator + "info.txt")); 460 PrintWriter pwi = new PrintWriter(new FileWriter(outDir.toString() + File.separator + "info.csv")); 461 String name = new File(model.getProperties().getProperty("General.Input")).getName(); 462 pwi.println("Instance," + name.substring(0, name.lastIndexOf('.'))); 463 pw.println("Solution info: " + ToolBox.dict2string(solution.getInfo(), 1)); 464 pw.println("Bounds: " + ToolBox.dict2string(model.getBounds(assignment), 1)); 465 Map<String, String> info = solution.getInfo(); 466 for (String key : new TreeSet<String>(info.keySet())) { 467 if (key.equals("Memory usage")) 468 continue; 469 if (key.equals("Iteration")) 470 continue; 471 if (key.equals("Time")) 472 continue; 473 String value = info.get(key); 474 if (value.indexOf(' ') > 0) 475 value = value.substring(0, value.indexOf(' ')); 476 pwi.println(key + "," + value); 477 } 478 printRoomInfo(pw, model, assignment); 479 printClassInfo(pw, model); 480 long nrValues = 0; 481 long nrTimes = 0; 482 long nrRooms = 0; 483 double totalMaxNormTimePref = 0.0; 484 double totalMinNormTimePref = 0.0; 485 double totalNormTimePref = 0.0; 486 int totalMaxRoomPref = 0; 487 int totalMinRoomPref = 0; 488 int totalRoomPref = 0; 489 long nrStudentEnrls = 0; 490 long nrInevitableStudentConflicts = 0; 491 long nrJenrls = 0; 492 int nrHalfHours = 0; 493 int nrMeetings = 0; 494 int totalMinLimit = 0; 495 int totalMaxLimit = 0; 496 long nrReqRooms = 0; 497 int nrSingleValueVariables = 0; 498 int nrSingleTimeVariables = 0; 499 int nrSingleRoomVariables = 0; 500 long totalAvailableMinRoomSize = 0; 501 long totalAvailableMaxRoomSize = 0; 502 long totalRoomSize = 0; 503 long nrOneOrMoreRoomVariables = 0; 504 long nrOneRoomVariables = 0; 505 HashSet<Student> students = new HashSet<Student>(); 506 HashSet<Long> offerings = new HashSet<Long>(); 507 HashSet<Long> configs = new HashSet<Long>(); 508 HashSet<Long> subparts = new HashSet<Long>(); 509 int[] sizeLimits = new int[] { 0, 25, 50, 75, 100, 150, 200, 400 }; 510 int[] nrRoomsOfSize = new int[sizeLimits.length]; 511 int[] minRoomOfSize = new int[sizeLimits.length]; 512 int[] maxRoomOfSize = new int[sizeLimits.length]; 513 int[] totalUsedSlots = new int[sizeLimits.length]; 514 int[] totalUsedSeats = new int[sizeLimits.length]; 515 int[] totalUsedSeats2 = new int[sizeLimits.length]; 516 int firstDaySlot = model.getProperties().getPropertyInt("General.FirstDaySlot", Constants.DAY_SLOTS_FIRST); 517 int lastDaySlot = model.getProperties().getPropertyInt("General.LastDaySlot", Constants.DAY_SLOTS_LAST); 518 int firstWorkDay = model.getProperties().getPropertyInt("General.FirstWorkDay", 0); 519 int lastWorkDay = model.getProperties().getPropertyInt("General.LastWorkDay", Constants.NR_DAYS_WEEK - 1); 520 for (Lecture lect : model.variables()) { 521 if (lect.getConfiguration() != null) { 522 offerings.add(lect.getConfiguration().getOfferingId()); 523 configs.add(lect.getConfiguration().getConfigId()); 524 } 525 subparts.add(lect.getSchedulingSubpartId()); 526 nrStudentEnrls += (lect.students() == null ? 0 : lect.students().size()); 527 students.addAll(lect.students()); 528 nrValues += lect.values(solution.getAssignment()).size(); 529 nrReqRooms += lect.getNrRooms(); 530 for (RoomLocation room: lect.roomLocations()) 531 if (room.getPreference() < Constants.sPreferenceLevelProhibited / 2) 532 nrRooms++; 533 for (TimeLocation time: lect.timeLocations()) 534 if (time.getPreference() < Constants.sPreferenceLevelProhibited / 2) 535 nrTimes ++; 536 totalMinLimit += lect.minClassLimit(); 537 totalMaxLimit += lect.maxClassLimit(); 538 if (!lect.values(solution.getAssignment()).isEmpty()) { 539 Placement p = lect.values(solution.getAssignment()).get(0); 540 nrMeetings += p.getTimeLocation().getNrMeetings(); 541 nrHalfHours += p.getTimeLocation().getNrMeetings() * p.getTimeLocation().getNrSlotsPerMeeting(); 542 totalMaxNormTimePref += lect.getMinMaxTimePreference()[1]; 543 totalMinNormTimePref += lect.getMinMaxTimePreference()[0]; 544 totalNormTimePref += Math.abs(lect.getMinMaxTimePreference()[1] - lect.getMinMaxTimePreference()[0]); 545 totalMaxRoomPref += lect.getMinMaxRoomPreference()[1]; 546 totalMinRoomPref += lect.getMinMaxRoomPreference()[0]; 547 totalRoomPref += Math.abs(lect.getMinMaxRoomPreference()[1] - lect.getMinMaxRoomPreference()[0]); 548 TimeLocation time = p.getTimeLocation(); 549 boolean hasRoomConstraint = false; 550 for (RoomLocation roomLocation : lect.roomLocations()) { 551 if (roomLocation.getRoomConstraint().getConstraint()) 552 hasRoomConstraint = true; 553 } 554 if (hasRoomConstraint && lect.getNrRooms() > 0) { 555 for (int d = firstWorkDay; d <= lastWorkDay; d++) { 556 if ((time.getDayCode() & Constants.DAY_CODES[d]) == 0) 557 continue; 558 for (int t = Math.max(time.getStartSlot(), firstDaySlot); t <= Math.min(time.getStartSlot() + time.getLength() - 1, lastDaySlot); t++) { 559 for (int l = 0; l < sizeLimits.length; l++) { 560 if (sizeLimits[l] <= lect.minRoomSize()) { 561 totalUsedSlots[l] += lect.getNrRooms(); 562 totalUsedSeats[l] += lect.classLimit(assignment); 563 totalUsedSeats2[l] += lect.minRoomSize() * lect.getNrRooms(); 564 } 565 } 566 } 567 } 568 } 569 } 570 if (lect.values(solution.getAssignment()).size() == 1) { 571 nrSingleValueVariables++; 572 } 573 if (lect.timeLocations().size() == 1) { 574 nrSingleTimeVariables++; 575 } 576 if (lect.roomLocations().size() == 1) { 577 nrSingleRoomVariables++; 578 } 579 if (lect.getNrRooms() == 1) { 580 nrOneRoomVariables++; 581 } 582 if (lect.getNrRooms() > 0) { 583 nrOneOrMoreRoomVariables++; 584 } 585 if (!lect.roomLocations().isEmpty()) { 586 int minRoomSize = Integer.MAX_VALUE; 587 int maxRoomSize = Integer.MIN_VALUE; 588 for (RoomLocation rl : lect.roomLocations()) { 589 minRoomSize = Math.min(minRoomSize, rl.getRoomSize()); 590 maxRoomSize = Math.max(maxRoomSize, rl.getRoomSize()); 591 totalRoomSize += rl.getRoomSize(); 592 } 593 totalAvailableMinRoomSize += minRoomSize; 594 totalAvailableMaxRoomSize += maxRoomSize; 595 } 596 } 597 for (JenrlConstraint jenrl : model.getJenrlConstraints()) { 598 nrJenrls += jenrl.getJenrl(); 599 if ((jenrl.first()).timeLocations().size() == 1 && (jenrl.second()).timeLocations().size() == 1) { 600 TimeLocation t1 = jenrl.first().timeLocations().get(0); 601 TimeLocation t2 = jenrl.second().timeLocations().get(0); 602 if (t1.hasIntersection(t2)) { 603 nrInevitableStudentConflicts += jenrl.getJenrl(); 604 pw.println("Inevitable " + jenrl.getJenrl() + " student conflicts between " + jenrl.first() + " " 605 + t1 + " and " + jenrl.second() + " " + t2); 606 } else if (jenrl.first().values(solution.getAssignment()).size() == 1 && jenrl.second().values(solution.getAssignment()).size() == 1) { 607 Placement p1 = jenrl.first().values(solution.getAssignment()).get(0); 608 Placement p2 = jenrl.second().values(solution.getAssignment()).get(0); 609 if (JenrlConstraint.isInConflict(p1, p2, ((TimetableModel)p1.variable().getModel()).getDistanceMetric())) { 610 nrInevitableStudentConflicts += jenrl.getJenrl(); 611 pw.println("Inevitable " + jenrl.getJenrl() 612 + (p1.getTimeLocation().hasIntersection(p2.getTimeLocation()) ? "" : " distance") 613 + " student conflicts between " + p1 + " and " + p2); 614 } 615 } 616 } 617 } 618 int totalCommitedPlacements = 0; 619 for (Student student : students) { 620 if (student.getCommitedPlacements() != null) 621 totalCommitedPlacements += student.getCommitedPlacements().size(); 622 } 623 pw.println("Total number of classes: " + model.variables().size()); 624 pwi.println("Number of classes," + model.variables().size()); 625 pw.println("Total number of instructional offerings: " + offerings.size() + " (" 626 + sDoubleFormat.format(100.0 * offerings.size() / model.variables().size()) + "%)"); 627 // pwi.println("Number of instructional offerings,"+offerings.size()); 628 pw.println("Total number of configurations: " + configs.size() + " (" 629 + sDoubleFormat.format(100.0 * configs.size() / model.variables().size()) + "%)"); 630 pw.println("Total number of scheduling subparts: " + subparts.size() + " (" 631 + sDoubleFormat.format(100.0 * subparts.size() / model.variables().size()) + "%)"); 632 // pwi.println("Number of scheduling subparts,"+subparts.size()); 633 pw.println("Average number classes per subpart: " 634 + sDoubleFormat.format(1.0 * model.variables().size() / subparts.size())); 635 pwi.println("Avg. classes per instruction," 636 + sDoubleFormat.format(1.0 * model.variables().size() / subparts.size())); 637 pw.println("Average number classes per config: " 638 + sDoubleFormat.format(1.0 * model.variables().size() / configs.size())); 639 pw.println("Average number classes per offering: " 640 + sDoubleFormat.format(1.0 * model.variables().size() / offerings.size())); 641 pw.println("Total number of classes with only one value: " + nrSingleValueVariables + " (" 642 + sDoubleFormat.format(100.0 * nrSingleValueVariables / model.variables().size()) + "%)"); 643 pw.println("Total number of classes with only one time: " + nrSingleTimeVariables + " (" 644 + sDoubleFormat.format(100.0 * nrSingleTimeVariables / model.variables().size()) + "%)"); 645 pw.println("Total number of classes with only one room: " + nrSingleRoomVariables + " (" 646 + sDoubleFormat.format(100.0 * nrSingleRoomVariables / model.variables().size()) + "%)"); 647 pwi.println("Classes with single value," + nrSingleValueVariables); 648 // pwi.println("Classes with only one time/room,"+nrSingleTimeVariables+"/"+nrSingleRoomVariables); 649 pw.println("Total number of classes requesting no room: " 650 + (model.variables().size() - nrOneOrMoreRoomVariables) 651 + " (" 652 + sDoubleFormat.format(100.0 * (model.variables().size() - nrOneOrMoreRoomVariables) 653 / model.variables().size()) + "%)"); 654 pw.println("Total number of classes requesting one room: " + nrOneRoomVariables + " (" 655 + sDoubleFormat.format(100.0 * nrOneRoomVariables / model.variables().size()) + "%)"); 656 pw.println("Total number of classes requesting one or more rooms: " + nrOneOrMoreRoomVariables + " (" 657 + sDoubleFormat.format(100.0 * nrOneOrMoreRoomVariables / model.variables().size()) + "%)"); 658 // pwi.println("% classes requesting no room,"+sDoubleFormat.format(100.0*(model.variables().size()-nrOneOrMoreRoomVariables)/model.variables().size())+"%"); 659 // pwi.println("% classes requesting one room,"+sDoubleFormat.format(100.0*nrOneRoomVariables/model.variables().size())+"%"); 660 // pwi.println("% classes requesting two or more rooms,"+sDoubleFormat.format(100.0*(nrOneOrMoreRoomVariables-nrOneRoomVariables)/model.variables().size())+"%"); 661 pw.println("Average number of requested rooms: " 662 + sDoubleFormat.format(1.0 * nrReqRooms / model.variables().size())); 663 pw.println("Average minimal class limit: " 664 + sDoubleFormat.format(1.0 * totalMinLimit / model.variables().size())); 665 pw.println("Average maximal class limit: " 666 + sDoubleFormat.format(1.0 * totalMaxLimit / model.variables().size())); 667 // pwi.println("Average class limit,"+sDoubleFormat.format(1.0*(totalMinLimit+totalMaxLimit)/(2*model.variables().size()))); 668 pw.println("Average number of placements: " + sDoubleFormat.format(1.0 * nrValues / model.variables().size())); 669 // pwi.println("Average domain size,"+sDoubleFormat.format(1.0*nrValues/model.variables().size())); 670 pwi.println("Avg. domain size," + sDoubleFormat.format(1.0 * nrValues / model.variables().size())); 671 pw.println("Average number of time locations: " 672 + sDoubleFormat.format(1.0 * nrTimes / model.variables().size())); 673 pwi.println("Avg. number of avail. times/rooms," 674 + sDoubleFormat.format(1.0 * nrTimes / model.variables().size()) + "/" 675 + sDoubleFormat.format(1.0 * nrRooms / model.variables().size())); 676 pw.println("Average number of room locations: " 677 + sDoubleFormat.format(1.0 * nrRooms / model.variables().size())); 678 pw.println("Average minimal requested room size: " 679 + sDoubleFormat.format(1.0 * totalAvailableMinRoomSize / nrOneOrMoreRoomVariables)); 680 pw.println("Average maximal requested room size: " 681 + sDoubleFormat.format(1.0 * totalAvailableMaxRoomSize / nrOneOrMoreRoomVariables)); 682 pw.println("Average requested room sizes: " + sDoubleFormat.format(1.0 * totalRoomSize / nrRooms)); 683 pwi.println("Average requested room size," + sDoubleFormat.format(1.0 * totalRoomSize / nrRooms)); 684 pw.println("Average maximum normalized time preference: " 685 + sDoubleFormat.format(totalMaxNormTimePref / model.variables().size())); 686 pw.println("Average minimum normalized time preference: " 687 + sDoubleFormat.format(totalMinNormTimePref / model.variables().size())); 688 pw.println("Average normalized time preference," 689 + sDoubleFormat.format(totalNormTimePref / model.variables().size())); 690 pw.println("Average maximum room preferences: " 691 + sDoubleFormat.format(1.0 * totalMaxRoomPref / nrOneOrMoreRoomVariables)); 692 pw.println("Average minimum room preferences: " 693 + sDoubleFormat.format(1.0 * totalMinRoomPref / nrOneOrMoreRoomVariables)); 694 pw.println("Average room preferences," + sDoubleFormat.format(1.0 * totalRoomPref / nrOneOrMoreRoomVariables)); 695 pw.println("Total number of students:" + students.size()); 696 pwi.println("Number of students," + students.size()); 697 pwi.println("Number of inevitable student conflicts," + nrInevitableStudentConflicts); 698 pw.println("Total amount of student enrollments: " + nrStudentEnrls); 699 pwi.println("Number of student enrollments," + nrStudentEnrls); 700 pw.println("Total amount of joined enrollments: " + nrJenrls); 701 pwi.println("Number of joint student enrollments," + nrJenrls); 702 pw.println("Average number of students: " 703 + sDoubleFormat.format(1.0 * students.size() / model.variables().size())); 704 pw.println("Average number of enrollemnts (per student): " 705 + sDoubleFormat.format(1.0 * nrStudentEnrls / students.size())); 706 pwi.println("Avg. number of classes per student," 707 + sDoubleFormat.format(1.0 * nrStudentEnrls / students.size())); 708 pwi.println("Avg. number of committed classes per student," 709 + sDoubleFormat.format(1.0 * totalCommitedPlacements / students.size())); 710 pw.println("Total amount of inevitable student conflicts: " + nrInevitableStudentConflicts + " (" 711 + sDoubleFormat.format(100.0 * nrInevitableStudentConflicts / nrStudentEnrls) + "%)"); 712 pw.println("Average number of meetings (per class): " 713 + sDoubleFormat.format(1.0 * nrMeetings / model.variables().size())); 714 pw.println("Average number of hours per class: " 715 + sDoubleFormat.format(1.0 * nrHalfHours / model.variables().size() / 12.0)); 716 pwi.println("Avg. number of meetings per class," 717 + sDoubleFormat.format(1.0 * nrMeetings / model.variables().size())); 718 pwi.println("Avg. number of hours per class," 719 + sDoubleFormat.format(1.0 * nrHalfHours / model.variables().size() / 12.0)); 720 int minRoomSize = Integer.MAX_VALUE; 721 int maxRoomSize = Integer.MIN_VALUE; 722 int nrDistancePairs = 0; 723 double maxRoomDistance = Double.MIN_VALUE; 724 double totalRoomDistance = 0.0; 725 int[] totalAvailableSlots = new int[sizeLimits.length]; 726 int[] totalAvailableSeats = new int[sizeLimits.length]; 727 int nrOfRooms = 0; 728 totalRoomSize = 0; 729 for (RoomConstraint rc : model.getRoomConstraints()) { 730 if (rc.variables().isEmpty()) continue; 731 nrOfRooms++; 732 minRoomSize = Math.min(minRoomSize, rc.getCapacity()); 733 maxRoomSize = Math.max(maxRoomSize, rc.getCapacity()); 734 for (int l = 0; l < sizeLimits.length; l++) { 735 if (sizeLimits[l] <= rc.getCapacity() 736 && (l + 1 == sizeLimits.length || rc.getCapacity() < sizeLimits[l + 1])) { 737 nrRoomsOfSize[l]++; 738 if (minRoomOfSize[l] == 0) 739 minRoomOfSize[l] = rc.getCapacity(); 740 else 741 minRoomOfSize[l] = Math.min(minRoomOfSize[l], rc.getCapacity()); 742 if (maxRoomOfSize[l] == 0) 743 maxRoomOfSize[l] = rc.getCapacity(); 744 else 745 maxRoomOfSize[l] = Math.max(maxRoomOfSize[l], rc.getCapacity()); 746 } 747 } 748 totalRoomSize += rc.getCapacity(); 749 if (rc.getPosX() != null && rc.getPosY() != null) { 750 for (RoomConstraint rc2 : model.getRoomConstraints()) { 751 if (rc2.getResourceId().compareTo(rc.getResourceId()) > 0 && rc2.getPosX() != null && rc2.getPosY() != null) { 752 double distance = ((TimetableModel)solution.getModel()).getDistanceMetric().getDistanceInMinutes(rc.getId(), rc.getPosX(), rc.getPosY(), rc2.getId(), rc2.getPosX(), rc2.getPosY()); 753 totalRoomDistance += distance; 754 nrDistancePairs++; 755 maxRoomDistance = Math.max(maxRoomDistance, distance); 756 } 757 } 758 } 759 for (int d = firstWorkDay; d <= lastWorkDay; d++) { 760 for (int t = firstDaySlot; t <= lastDaySlot; t++) { 761 if (rc.isAvailable(d * Constants.SLOTS_PER_DAY + t)) { 762 for (int l = 0; l < sizeLimits.length; l++) { 763 if (sizeLimits[l] <= rc.getCapacity()) { 764 totalAvailableSlots[l]++; 765 totalAvailableSeats[l] += rc.getCapacity(); 766 } 767 } 768 } 769 } 770 } 771 } 772 pw.println("Total number of rooms: " + nrOfRooms); 773 pwi.println("Number of rooms," + nrOfRooms); 774 pw.println("Minimal room size: " + minRoomSize); 775 pw.println("Maximal room size: " + maxRoomSize); 776 pwi.println("Room size min/max," + minRoomSize + "/" + maxRoomSize); 777 pw.println("Average room size: " 778 + sDoubleFormat.format(1.0 * totalRoomSize / model.getRoomConstraints().size())); 779 pw.println("Maximal distance between two rooms: " + sDoubleFormat.format(maxRoomDistance)); 780 pw.println("Average distance between two rooms: " 781 + sDoubleFormat.format(totalRoomDistance / nrDistancePairs)); 782 pwi.println("Average distance between two rooms [min]," 783 + sDoubleFormat.format(totalRoomDistance / nrDistancePairs)); 784 pwi.println("Maximal distance between two rooms [min]," + sDoubleFormat.format(maxRoomDistance)); 785 for (int l = 0; l < sizeLimits.length; l++) {// sizeLimits.length;l++) { 786 pwi.println("\"Room frequency (size>=" + sizeLimits[l] + ", used/avaiable times)\"," 787 + sDoubleFormat.format(100.0 * totalUsedSlots[l] / totalAvailableSlots[l]) + "%"); 788 pwi.println("\"Room utilization (size>=" + sizeLimits[l] + ", used/available seats)\"," 789 + sDoubleFormat.format(100.0 * totalUsedSeats[l] / totalAvailableSeats[l]) + "%"); 790 pwi.println("\"Number of rooms (size>=" + sizeLimits[l] + ")\"," + nrRoomsOfSize[l]); 791 pwi.println("\"Min/max room size (size>=" + sizeLimits[l] + ")\"," + minRoomOfSize[l] + "-" 792 + maxRoomOfSize[l]); 793 // pwi.println("\"Room utilization (size>="+sizeLimits[l]+", minRoomSize)\","+sDoubleFormat.format(100.0*totalUsedSeats2[l]/totalAvailableSeats[l])+"%"); 794 } 795 pw.println("Average hours available: " 796 + sDoubleFormat.format(1.0 * totalAvailableSlots[0] / nrOfRooms / 12.0)); 797 int totalInstructedClasses = 0; 798 for (InstructorConstraint ic : model.getInstructorConstraints()) { 799 totalInstructedClasses += ic.variables().size(); 800 } 801 pw.println("Total number of instructors: " + model.getInstructorConstraints().size()); 802 pwi.println("Number of instructors," + model.getInstructorConstraints().size()); 803 pw.println("Total class-instructor assignments: " + totalInstructedClasses + " (" 804 + sDoubleFormat.format(100.0 * totalInstructedClasses / model.variables().size()) + "%)"); 805 pwi.println("Number of class-instructor assignments," + totalInstructedClasses); 806 pw.println("Average classes per instructor: " 807 + sDoubleFormat.format(1.0 * totalInstructedClasses / model.getInstructorConstraints().size())); 808 pwi.println("Average classes per instructor," 809 + sDoubleFormat.format(1.0 * totalInstructedClasses / model.getInstructorConstraints().size())); 810 // pw.println("Average hours available: "+sDoubleFormat.format(1.0*totalAvailableSlots/model.getInstructorConstraints().size()/12.0)); 811 // pwi.println("Instructor availability [h],"+sDoubleFormat.format(1.0*totalAvailableSlots/model.getInstructorConstraints().size()/12.0)); 812 int nrGroupConstraints = model.getGroupConstraints().size() + model.getSpreadConstraints().size(); 813 int nrHardGroupConstraints = 0; 814 int nrVarsInGroupConstraints = 0; 815 for (GroupConstraint gc : model.getGroupConstraints()) { 816 if (gc.isHard()) 817 nrHardGroupConstraints++; 818 nrVarsInGroupConstraints += gc.variables().size(); 819 } 820 for (SpreadConstraint sc : model.getSpreadConstraints()) { 821 nrVarsInGroupConstraints += sc.variables().size(); 822 } 823 pw.println("Total number of group constraints: " + nrGroupConstraints + " (" 824 + sDoubleFormat.format(100.0 * nrGroupConstraints / model.variables().size()) + "%)"); 825 // pwi.println("Number of group constraints,"+nrGroupConstraints); 826 pw.println("Total number of hard group constraints: " + nrHardGroupConstraints + " (" 827 + sDoubleFormat.format(100.0 * nrHardGroupConstraints / model.variables().size()) + "%)"); 828 // pwi.println("Number of hard group constraints,"+nrHardGroupConstraints); 829 pw.println("Average classes per group constraint: " 830 + sDoubleFormat.format(1.0 * nrVarsInGroupConstraints / nrGroupConstraints)); 831 // pwi.println("Average classes per group constraint,"+sDoubleFormat.format(1.0*nrVarsInGroupConstraints/nrGroupConstraints)); 832 pwi.println("Avg. number distribution constraints per class," 833 + sDoubleFormat.format(1.0 * nrVarsInGroupConstraints / model.variables().size())); 834 pwi.println("Joint enrollment constraints," + model.getJenrlConstraints().size()); 835 pw.flush(); 836 pw.close(); 837 pwi.flush(); 838 pwi.close(); 839 } 840 841 public static void saveOutputCSV(Solution<Lecture, Placement> s, File file) { 842 try { 843 DecimalFormat dx = new DecimalFormat("000"); 844 PrintWriter w = new PrintWriter(new FileWriter(file)); 845 TimetableModel m = (TimetableModel) s.getModel(); 846 int firstDaySlot = m.getProperties().getPropertyInt("General.FirstDaySlot", Constants.DAY_SLOTS_FIRST); 847 int lastDaySlot = m.getProperties().getPropertyInt("General.LastDaySlot", Constants.DAY_SLOTS_LAST); 848 int firstWorkDay = m.getProperties().getPropertyInt("General.FirstWorkDay", 0); 849 int lastWorkDay = m.getProperties().getPropertyInt("General.LastWorkDay", Constants.NR_DAYS_WEEK - 1); 850 Assignment<Lecture, Placement> a = s.getAssignment(); 851 int idx = 1; 852 w.println("000." + dx.format(idx++) + " Assigned variables," + a.nrAssignedVariables()); 853 w.println("000." + dx.format(idx++) + " Time [sec]," + sDoubleFormat.format(s.getBestTime())); 854 w.println("000." + dx.format(idx++) + " Hard student conflicts," + Math.round(m.getCriterion(StudentHardConflict.class).getValue(a))); 855 if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true)) 856 w.println("000." + dx.format(idx++) + " Distance student conf.," + Math.round(m.getCriterion(StudentDistanceConflict.class).getValue(a))); 857 w.println("000." + dx.format(idx++) + " Student conflicts," + Math.round(m.getCriterion(StudentConflict.class).getValue(a))); 858 w.println("000." + dx.format(idx++) + " Committed student conflicts," + Math.round(m.getCriterion(StudentCommittedConflict.class).getValue(a))); 859 w.println("000." + dx.format(idx++) + " All Student conflicts," 860 + Math.round(m.getCriterion(StudentConflict.class).getValue(a) + m.getCriterion(StudentCommittedConflict.class).getValue(a))); 861 w.println("000." + dx.format(idx++) + " Time preferences," 862 + sDoubleFormat.format( m.getCriterion(TimePreferences.class).getValue(a))); 863 w.println("000." + dx.format(idx++) + " Room preferences," + Math.round(m.getCriterion(RoomPreferences.class).getValue(a))); 864 w.println("000." + dx.format(idx++) + " Useless half-hours," + Math.round(m.getCriterion(UselessHalfHours.class).getValue(a))); 865 w.println("000." + dx.format(idx++) + " Broken time patterns," + Math.round(m.getCriterion(BrokenTimePatterns.class).getValue(a))); 866 w.println("000." + dx.format(idx++) + " Too big room," + Math.round(m.getCriterion(TooBigRooms.class).getValue(a))); 867 w.println("000." + dx.format(idx++) + " Distribution preferences," + sDoubleFormat.format(m.getCriterion(DistributionPreferences.class).getValue(a))); 868 if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true)) 869 w.println("000." + dx.format(idx++) + " Back-to-back instructor pref.," + Math.round(m.getCriterion(BackToBackInstructorPreferences.class).getValue(a))); 870 if (m.getProperties().getPropertyBoolean("General.DeptBalancing", true)) { 871 w.println("000." + dx.format(idx++) + " Dept. balancing penalty," + sDoubleFormat.format(m.getCriterion(DepartmentBalancingPenalty.class).getValue(a))); 872 } 873 w.println("000." + dx.format(idx++) + " Same subpart balancing penalty," + sDoubleFormat.format(m.getCriterion(SameSubpartBalancingPenalty.class).getValue(a))); 874 if (m.getProperties().getPropertyBoolean("General.MPP", false)) { 875 Map<String, Double> mppInfo = ((UniversalPerturbationsCounter)((Perturbations)m.getCriterion(Perturbations.class)).getPerturbationsCounter()).getCompactInfo(a, m, false, false); 876 int pidx = 51; 877 w.println("000." + dx.format(pidx++) + " Perturbation penalty," + sDoubleFormat.format(m.getCriterion(Perturbations.class).getValue(a))); 878 w.println("000." + dx.format(pidx++) + " Additional perturbations," + m.perturbVariables(a).size()); 879 int nrPert = 0, nrStudentPert = 0; 880 for (Lecture lecture : m.variables()) { 881 if (lecture.getInitialAssignment() != null) 882 continue; 883 nrPert++; 884 nrStudentPert += lecture.classLimit(a); 885 } 886 w.println("000." + dx.format(pidx++) + " Given perturbations," + nrPert); 887 w.println("000." + dx.format(pidx++) + " Given student perturbations," + nrStudentPert); 888 for (String key : new TreeSet<String>(mppInfo.keySet())) { 889 Double value = mppInfo.get(key); 890 w.println("000." + dx.format(pidx++) + " " + key + "," + sDoubleFormat.format(value)); 891 } 892 } 893 HashSet<Student> students = new HashSet<Student>(); 894 int enrls = 0; 895 int minRoomPref = 0, maxRoomPref = 0; 896 int minGrPref = 0, maxGrPref = 0; 897 int minTimePref = 0, maxTimePref = 0; 898 int worstInstrPref = 0; 899 HashSet<Constraint<Lecture, Placement>> used = new HashSet<Constraint<Lecture, Placement>>(); 900 for (Lecture lecture : m.variables()) { 901 enrls += (lecture.students() == null ? 0 : lecture.students().size()); 902 students.addAll(lecture.students()); 903 904 int[] minMaxRoomPref = lecture.getMinMaxRoomPreference(); 905 maxRoomPref += minMaxRoomPref[1] - minMaxRoomPref[0]; 906 907 double[] minMaxTimePref = lecture.getMinMaxTimePreference(); 908 maxTimePref += minMaxTimePref[1] - minMaxTimePref[0]; 909 for (Constraint<Lecture, Placement> c : lecture.constraints()) { 910 if (!used.add(c)) 911 continue; 912 913 if (c instanceof InstructorConstraint) { 914 InstructorConstraint ic = (InstructorConstraint) c; 915 worstInstrPref += ic.getWorstPreference(); 916 } 917 918 if (c instanceof GroupConstraint) { 919 GroupConstraint gc = (GroupConstraint) c; 920 if (gc.isHard()) 921 continue; 922 maxGrPref += Math.abs(gc.getPreference()) * (1 + (gc.variables().size() * (gc.variables().size() - 1)) / 2); 923 } 924 } 925 } 926 int totalCommitedPlacements = 0; 927 for (Student student : students) { 928 if (student.getCommitedPlacements() != null) 929 totalCommitedPlacements += student.getCommitedPlacements().size(); 930 } 931 HashMap<Long, List<Lecture>> subs = new HashMap<Long, List<Lecture>>(); 932 for (Lecture lecture : m.variables()) { 933 if (lecture.isCommitted() || lecture.getScheduler() == null) 934 continue; 935 List<Lecture> vars = subs.get(lecture.getScheduler()); 936 if (vars == null) { 937 vars = new ArrayList<Lecture>(); 938 subs.put(lecture.getScheduler(), vars); 939 } 940 vars.add(lecture); 941 } 942 int bidx = 101; 943 w.println("000." + dx.format(bidx++) + " Assigned variables max," + m.variables().size()); 944 w.println("000." + dx.format(bidx++) + " Student enrollments," + enrls); 945 w.println("000." + dx.format(bidx++) + " Student commited enrollments," + totalCommitedPlacements); 946 w.println("000." + dx.format(bidx++) + " All student enrollments," + (enrls + totalCommitedPlacements)); 947 w.println("000." + dx.format(bidx++) + " Time preferences min," + minTimePref); 948 w.println("000." + dx.format(bidx++) + " Time preferences max," + maxTimePref); 949 w.println("000." + dx.format(bidx++) + " Room preferences min," + minRoomPref); 950 w.println("000." + dx.format(bidx++) + " Room preferences max," + maxRoomPref); 951 w.println("000." + dx.format(bidx++) + " Useless half-hours max," + 952 (Constants.sPreferenceLevelStronglyDiscouraged * m.getRoomConstraints().size() * (lastDaySlot - firstDaySlot + 1) * (lastWorkDay - firstWorkDay + 1))); 953 w.println("000." + dx.format(bidx++) + " Too big room max," + (Constants.sPreferenceLevelStronglyDiscouraged * m.variables().size())); 954 w.println("000." + dx.format(bidx++) + " Distribution preferences min," + minGrPref); 955 w.println("000." + dx.format(bidx++) + " Distribution preferences max," + maxGrPref); 956 w.println("000." + dx.format(bidx++) + " Back-to-back instructor pref max," + worstInstrPref); 957 for (Long scheduler: new TreeSet<Long>(subs.keySet())) { 958 List<Lecture> vars = subs.get(scheduler); 959 idx = 001; 960 bidx = 101; 961 int nrAssg = 0; 962 enrls = 0; 963 int roomPref = 0; 964 minRoomPref = 0; 965 maxRoomPref = 0; 966 double timePref = 0; 967 minTimePref = 0; 968 maxTimePref = 0; 969 double grPref = 0; 970 minGrPref = 0; 971 maxGrPref = 0; 972 long allSC = 0, hardSC = 0, distSC = 0; 973 int instPref = 0; 974 worstInstrPref = 0; 975 int spreadPen = 0, deptSpreadPen = 0; 976 int tooBigRooms = 0; 977 int rcs = 0, uselessSlots = 0; 978 used = new HashSet<Constraint<Lecture, Placement>>(); 979 for (Lecture lecture : vars) { 980 if (lecture.isCommitted()) 981 continue; 982 enrls += lecture.students().size(); 983 Placement placement = a.getValue(lecture); 984 if (placement != null) { 985 nrAssg++; 986 } 987 988 int[] minMaxRoomPref = lecture.getMinMaxRoomPreference(); 989 minRoomPref += minMaxRoomPref[0]; 990 maxRoomPref += minMaxRoomPref[1]; 991 992 double[] minMaxTimePref = lecture.getMinMaxTimePreference(); 993 minTimePref += minMaxTimePref[0]; 994 maxTimePref += minMaxTimePref[1]; 995 996 if (placement != null) { 997 roomPref += placement.getRoomPreference(); 998 timePref += placement.getTimeLocation().getNormalizedPreference(); 999 tooBigRooms += TooBigRooms.getTooBigRoomPreference(placement); 1000 } 1001 1002 for (Constraint<Lecture, Placement> c : lecture.constraints()) { 1003 if (!used.add(c)) 1004 continue; 1005 1006 if (c instanceof InstructorConstraint) { 1007 InstructorConstraint ic = (InstructorConstraint) c; 1008 instPref += ic.getPreference(a); 1009 worstInstrPref += ic.getWorstPreference(); 1010 } 1011 1012 if (c instanceof DepartmentSpreadConstraint) { 1013 DepartmentSpreadConstraint dsc = (DepartmentSpreadConstraint) c; 1014 deptSpreadPen += dsc.getPenalty(a); 1015 } else if (c instanceof SpreadConstraint) { 1016 SpreadConstraint sc = (SpreadConstraint) c; 1017 spreadPen += sc.getPenalty(a); 1018 } 1019 1020 if (c instanceof GroupConstraint) { 1021 GroupConstraint gc = (GroupConstraint) c; 1022 if (gc.isHard()) 1023 continue; 1024 minGrPref -= Math.abs(gc.getPreference()); 1025 maxGrPref += 0; 1026 grPref += Math.min(0, gc.getCurrentPreference(a)); 1027 // minGrPref += Math.min(gc.getPreference(), 0); 1028 // maxGrPref += Math.max(gc.getPreference(), 0); 1029 // grPref += gc.getCurrentPreference(); 1030 } 1031 1032 if (c instanceof JenrlConstraint) { 1033 JenrlConstraint jc = (JenrlConstraint) c; 1034 if (!jc.isInConflict(a) || !jc.isOfTheSameProblem()) 1035 continue; 1036 Lecture l1 = jc.first(); 1037 Lecture l2 = jc.second(); 1038 allSC += jc.getJenrl(); 1039 if (l1.areStudentConflictsHard(l2)) 1040 hardSC += jc.getJenrl(); 1041 Placement p1 = a.getValue(l1); 1042 Placement p2 = a.getValue(l2); 1043 if (!p1.getTimeLocation().hasIntersection(p2.getTimeLocation())) 1044 distSC += jc.getJenrl(); 1045 } 1046 1047 if (c instanceof RoomConstraint) { 1048 RoomConstraint rc = (RoomConstraint) c; 1049 uselessSlots += UselessHalfHours.countUselessSlotsHalfHours(rc.getContext(a)) + BrokenTimePatterns.countUselessSlotsBrokenTimePatterns(rc.getContext(a)); 1050 rcs++; 1051 } 1052 } 1053 } 1054 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Assigned variables," + nrAssg); 1055 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Assigned variables max," + vars.size()); 1056 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Hard student conflicts," + hardSC); 1057 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Student enrollments," + enrls); 1058 if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true)) 1059 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Distance student conf.," + distSC); 1060 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Student conflicts," + allSC); 1061 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Time preferences," + timePref); 1062 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Time preferences min," + minTimePref); 1063 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Time preferences max," + maxTimePref); 1064 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Room preferences," + roomPref); 1065 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Room preferences min," + minRoomPref); 1066 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Room preferences max," + maxRoomPref); 1067 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Useless half-hours," + uselessSlots); 1068 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Useless half-hours max," + 1069 (Constants.sPreferenceLevelStronglyDiscouraged * rcs * (lastDaySlot - firstDaySlot + 1) * (lastWorkDay - firstWorkDay + 1))); 1070 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Too big room," + tooBigRooms); 1071 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Too big room max," + (Constants.sPreferenceLevelStronglyDiscouraged * vars.size())); 1072 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Distribution preferences," + grPref); 1073 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Distribution preferences min," + minGrPref); 1074 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Distribution preferences max," + maxGrPref); 1075 if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true)) 1076 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Back-to-back instructor pref," + instPref); 1077 w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Back-to-back instructor pref max," + worstInstrPref); 1078 if (m.getProperties().getPropertyBoolean("General.DeptBalancing", true)) { 1079 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Department balancing penalty," + sDoubleFormat.format((deptSpreadPen) / 12.0)); 1080 } 1081 w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Same subpart balancing penalty," + sDoubleFormat.format((spreadPen) / 12.0)); 1082 } 1083 w.flush(); 1084 w.close(); 1085 } catch (java.io.IOException io) { 1086 sLogger.error(io.getMessage(), io); 1087 } 1088 } 1089 1090 private class ShutdownHook extends Thread { 1091 Solver<Lecture, Placement> iSolver = null; 1092 1093 private ShutdownHook(Solver<Lecture, Placement> solver) { 1094 setName("ShutdownHook"); 1095 iSolver = solver; 1096 } 1097 1098 @Override 1099 public void run() { 1100 try { 1101 if (iSolver.isRunning()) iSolver.stopSolver(); 1102 Solution<Lecture, Placement> solution = iSolver.lastSolution(); 1103 long lastIt = solution.getIteration(); 1104 double lastTime = solution.getTime(); 1105 DataProperties properties = iSolver.getProperties(); 1106 TimetableModel model = (TimetableModel) solution.getModel(); 1107 File outDir = new File(properties.getProperty("General.Output", ".")); 1108 1109 if (solution.getBestInfo() != null) { 1110 Solution<Lecture, Placement> bestSolution = solution;// .cloneBest(); 1111 sLogger.info("Last solution: " + ToolBox.dict2string(bestSolution.getExtendedInfo(), 1)); 1112 sLogger.info("Best solution (before restore): " + ToolBox.dict2string(bestSolution.getBestInfo(), 1)); 1113 bestSolution.restoreBest(); 1114 sLogger.info("Best solution: " + ToolBox.dict2string(bestSolution.getExtendedInfo(), 1)); 1115 if (properties.getPropertyBoolean("General.SwitchStudents", true)) 1116 ((TimetableModel) bestSolution.getModel()).switchStudents(bestSolution.getAssignment()); 1117 sLogger.info("Best solution: " + ToolBox.dict2string(bestSolution.getExtendedInfo(), 1)); 1118 saveOutputCSV(bestSolution, new File(outDir, "output.csv")); 1119 1120 printSomeStuff(bestSolution); 1121 1122 if (properties.getPropertyBoolean("General.Save", true)) { 1123 TimetableSaver saver = (TimetableSaver) Class.forName(getTimetableSaverClass(properties)) 1124 .getConstructor(new Class[] { Solver.class }).newInstance(new Object[] { iSolver }); 1125 if ((saver instanceof TimetableXMLSaver) && properties.getProperty("General.SolutionFile") != null) 1126 ((TimetableXMLSaver) saver).save(new File(properties.getProperty("General.SolutionFile"))); 1127 else 1128 saver.save(); 1129 } 1130 } else { 1131 sLogger.info("Last solution:" + ToolBox.dict2string(solution.getExtendedInfo(), 1)); 1132 } 1133 1134 iCSVFile.close(); 1135 1136 sLogger.info("Total number of done iteration steps:" + lastIt); 1137 sLogger.info("Achieved speed: " + sDoubleFormat.format(lastIt / lastTime) + " iterations/second"); 1138 1139 PrintWriter out = new PrintWriter(new FileWriter(new File(outDir, "solver.html"))); 1140 out.println("<html><title>Save log</title><body>"); 1141 out.println(Progress.getInstance(model).getHtmlLog(Progress.MSGLEVEL_TRACE, true)); 1142 out.println("</html>"); 1143 out.flush(); 1144 out.close(); 1145 Progress.removeInstance(model); 1146 1147 if (iStat != null) { 1148 PrintWriter cbs = new PrintWriter(new FileWriter(new File(outDir, "cbs.txt"))); 1149 cbs.println(iStat.toString()); 1150 cbs.flush(); cbs.close(); 1151 } 1152 1153 System.out.println("Unassigned variables: " + model.nrUnassignedVariables(solution.getAssignment())); 1154 } catch (Throwable t) { 1155 sLogger.error("Test failed.", t); 1156 } 1157 } 1158 } 1159}