Examples with SpreadConstraint org.cpsolver.coursett.constraint.SpreadConstraint used on opensource projects

Example 6 with SpreadConstraint

use of org.cpsolver.coursett.constraint.SpreadConstraint in project cpsolver by UniTime.

the class Test method printSomeStuff.

/** Create info.txt with some more information about the problem 
     * @param solution current solution
     * @throws IOException an exception that may be thrown
     **/
public static void printSomeStuff(Solution<Lecture, Placement> solution) throws IOException {
    TimetableModel model = (TimetableModel) solution.getModel();
    Assignment<Lecture, Placement> assignment = solution.getAssignment();
    File outDir = new File(model.getProperties().getProperty("General.Output", "."));
    PrintWriter pw = new PrintWriter(new FileWriter(outDir.toString() + File.separator + "info.txt"));
    PrintWriter pwi = new PrintWriter(new FileWriter(outDir.toString() + File.separator + "info.csv"));
    String name = new File(model.getProperties().getProperty("General.Input")).getName();
    pwi.println("Instance," + name.substring(0, name.lastIndexOf('.')));
    pw.println("Solution info: " + ToolBox.dict2string(solution.getInfo(), 1));
    pw.println("Bounds: " + ToolBox.dict2string(model.getBounds(assignment), 1));
    Map<String, String> info = solution.getInfo();
    for (String key : new TreeSet<String>(info.keySet())) {
        if (key.equals("Memory usage"))
            continue;
        if (key.equals("Iteration"))
            continue;
        if (key.equals("Time"))
            continue;
        String value = info.get(key);
        if (value.indexOf(' ') > 0)
            value = value.substring(0, value.indexOf(' '));
        pwi.println(key + "," + value);
    }
    printRoomInfo(pw, model, assignment);
    printClassInfo(pw, model);
    long nrValues = 0;
    long nrTimes = 0;
    long nrRooms = 0;
    double totalMaxNormTimePref = 0.0;
    double totalMinNormTimePref = 0.0;
    double totalNormTimePref = 0.0;
    int totalMaxRoomPref = 0;
    int totalMinRoomPref = 0;
    int totalRoomPref = 0;
    long nrStudentEnrls = 0;
    long nrInevitableStudentConflicts = 0;
    long nrJenrls = 0;
    int nrHalfHours = 0;
    int nrMeetings = 0;
    int totalMinLimit = 0;
    int totalMaxLimit = 0;
    long nrReqRooms = 0;
    int nrSingleValueVariables = 0;
    int nrSingleTimeVariables = 0;
    int nrSingleRoomVariables = 0;
    long totalAvailableMinRoomSize = 0;
    long totalAvailableMaxRoomSize = 0;
    long totalRoomSize = 0;
    long nrOneOrMoreRoomVariables = 0;
    long nrOneRoomVariables = 0;
    HashSet<Student> students = new HashSet<Student>();
    HashSet<Long> offerings = new HashSet<Long>();
    HashSet<Long> configs = new HashSet<Long>();
    HashSet<Long> subparts = new HashSet<Long>();
    int[] sizeLimits = new int[] { 0, 25, 50, 75, 100, 150, 200, 400 };
    int[] nrRoomsOfSize = new int[sizeLimits.length];
    int[] minRoomOfSize = new int[sizeLimits.length];
    int[] maxRoomOfSize = new int[sizeLimits.length];
    int[] totalUsedSlots = new int[sizeLimits.length];
    int[] totalUsedSeats = new int[sizeLimits.length];
    int[] totalUsedSeats2 = new int[sizeLimits.length];
    int firstDaySlot = model.getProperties().getPropertyInt("General.FirstDaySlot", Constants.DAY_SLOTS_FIRST);
    int lastDaySlot = model.getProperties().getPropertyInt("General.LastDaySlot", Constants.DAY_SLOTS_LAST);
    int firstWorkDay = model.getProperties().getPropertyInt("General.FirstWorkDay", 0);
    int lastWorkDay = model.getProperties().getPropertyInt("General.LastWorkDay", Constants.NR_DAYS_WEEK - 1);
    for (Lecture lect : model.variables()) {
        if (lect.getConfiguration() != null) {
            offerings.add(lect.getConfiguration().getOfferingId());
            configs.add(lect.getConfiguration().getConfigId());
        }
        subparts.add(lect.getSchedulingSubpartId());
        nrStudentEnrls += (lect.students() == null ? 0 : lect.students().size());
        students.addAll(lect.students());
        nrValues += lect.values(solution.getAssignment()).size();
        nrReqRooms += lect.getNrRooms();
        for (RoomLocation room : lect.roomLocations()) if (room.getPreference() < Constants.sPreferenceLevelProhibited / 2)
            nrRooms++;
        for (TimeLocation time : lect.timeLocations()) if (time.getPreference() < Constants.sPreferenceLevelProhibited / 2)
            nrTimes++;
        totalMinLimit += lect.minClassLimit();
        totalMaxLimit += lect.maxClassLimit();
        if (!lect.values(solution.getAssignment()).isEmpty()) {
            Placement p = lect.values(solution.getAssignment()).get(0);
            nrMeetings += p.getTimeLocation().getNrMeetings();
            nrHalfHours += p.getTimeLocation().getNrMeetings() * p.getTimeLocation().getNrSlotsPerMeeting();
            totalMaxNormTimePref += lect.getMinMaxTimePreference()[1];
            totalMinNormTimePref += lect.getMinMaxTimePreference()[0];
            totalNormTimePref += Math.abs(lect.getMinMaxTimePreference()[1] - lect.getMinMaxTimePreference()[0]);
            totalMaxRoomPref += lect.getMinMaxRoomPreference()[1];
            totalMinRoomPref += lect.getMinMaxRoomPreference()[0];
            totalRoomPref += Math.abs(lect.getMinMaxRoomPreference()[1] - lect.getMinMaxRoomPreference()[0]);
            TimeLocation time = p.getTimeLocation();
            boolean hasRoomConstraint = false;
            for (RoomLocation roomLocation : lect.roomLocations()) {
                if (roomLocation.getRoomConstraint().getConstraint())
                    hasRoomConstraint = true;
            }
            if (hasRoomConstraint && lect.getNrRooms() > 0) {
                for (int d = firstWorkDay; d <= lastWorkDay; d++) {
                    if ((time.getDayCode() & Constants.DAY_CODES[d]) == 0)
                        continue;
                    for (int t = Math.max(time.getStartSlot(), firstDaySlot); t <= Math.min(time.getStartSlot() + time.getLength() - 1, lastDaySlot); t++) {
                        for (int l = 0; l < sizeLimits.length; l++) {
                            if (sizeLimits[l] <= lect.minRoomSize()) {
                                totalUsedSlots[l] += lect.getNrRooms();
                                totalUsedSeats[l] += lect.classLimit(assignment);
                                totalUsedSeats2[l] += lect.minRoomSize() * lect.getNrRooms();
                            }
                        }
                    }
                }
            }
        }
        if (lect.values(solution.getAssignment()).size() == 1) {
            nrSingleValueVariables++;
        }
        if (lect.timeLocations().size() == 1) {
            nrSingleTimeVariables++;
        }
        if (lect.roomLocations().size() == 1) {
            nrSingleRoomVariables++;
        }
        if (lect.getNrRooms() == 1) {
            nrOneRoomVariables++;
        }
        if (lect.getNrRooms() > 0) {
            nrOneOrMoreRoomVariables++;
        }
        if (!lect.roomLocations().isEmpty()) {
            int minRoomSize = Integer.MAX_VALUE;
            int maxRoomSize = Integer.MIN_VALUE;
            for (RoomLocation rl : lect.roomLocations()) {
                minRoomSize = Math.min(minRoomSize, rl.getRoomSize());
                maxRoomSize = Math.max(maxRoomSize, rl.getRoomSize());
                totalRoomSize += rl.getRoomSize();
            }
            totalAvailableMinRoomSize += minRoomSize;
            totalAvailableMaxRoomSize += maxRoomSize;
        }
    }
    for (JenrlConstraint jenrl : model.getJenrlConstraints()) {
        nrJenrls += jenrl.getJenrl();
        if ((jenrl.first()).timeLocations().size() == 1 && (jenrl.second()).timeLocations().size() == 1) {
            TimeLocation t1 = jenrl.first().timeLocations().get(0);
            TimeLocation t2 = jenrl.second().timeLocations().get(0);
            if (t1.hasIntersection(t2)) {
                nrInevitableStudentConflicts += jenrl.getJenrl();
                pw.println("Inevitable " + jenrl.getJenrl() + " student conflicts between " + jenrl.first() + " " + t1 + " and " + jenrl.second() + " " + t2);
            } else if (jenrl.first().values(solution.getAssignment()).size() == 1 && jenrl.second().values(solution.getAssignment()).size() == 1) {
                Placement p1 = jenrl.first().values(solution.getAssignment()).get(0);
                Placement p2 = jenrl.second().values(solution.getAssignment()).get(0);
                if (JenrlConstraint.isInConflict(p1, p2, ((TimetableModel) p1.variable().getModel()).getDistanceMetric())) {
                    nrInevitableStudentConflicts += jenrl.getJenrl();
                    pw.println("Inevitable " + jenrl.getJenrl() + (p1.getTimeLocation().hasIntersection(p2.getTimeLocation()) ? "" : " distance") + " student conflicts between " + p1 + " and " + p2);
                }
            }
        }
    }
    int totalCommitedPlacements = 0;
    for (Student student : students) {
        if (student.getCommitedPlacements() != null)
            totalCommitedPlacements += student.getCommitedPlacements().size();
    }
    pw.println("Total number of classes: " + model.variables().size());
    pwi.println("Number of classes," + model.variables().size());
    pw.println("Total number of instructional offerings: " + offerings.size() + " (" + sDoubleFormat.format(100.0 * offerings.size() / model.variables().size()) + "%)");
    // pwi.println("Number of instructional offerings,"+offerings.size());
    pw.println("Total number of configurations: " + configs.size() + " (" + sDoubleFormat.format(100.0 * configs.size() / model.variables().size()) + "%)");
    pw.println("Total number of scheduling subparts: " + subparts.size() + " (" + sDoubleFormat.format(100.0 * subparts.size() / model.variables().size()) + "%)");
    // pwi.println("Number of scheduling subparts,"+subparts.size());
    pw.println("Average number classes per subpart: " + sDoubleFormat.format(1.0 * model.variables().size() / subparts.size()));
    pwi.println("Avg. classes per instruction," + sDoubleFormat.format(1.0 * model.variables().size() / subparts.size()));
    pw.println("Average number classes per config: " + sDoubleFormat.format(1.0 * model.variables().size() / configs.size()));
    pw.println("Average number classes per offering: " + sDoubleFormat.format(1.0 * model.variables().size() / offerings.size()));
    pw.println("Total number of classes with only one value: " + nrSingleValueVariables + " (" + sDoubleFormat.format(100.0 * nrSingleValueVariables / model.variables().size()) + "%)");
    pw.println("Total number of classes with only one time: " + nrSingleTimeVariables + " (" + sDoubleFormat.format(100.0 * nrSingleTimeVariables / model.variables().size()) + "%)");
    pw.println("Total number of classes with only one room: " + nrSingleRoomVariables + " (" + sDoubleFormat.format(100.0 * nrSingleRoomVariables / model.variables().size()) + "%)");
    pwi.println("Classes with single value," + nrSingleValueVariables);
    // pwi.println("Classes with only one time/room,"+nrSingleTimeVariables+"/"+nrSingleRoomVariables);
    pw.println("Total number of classes requesting no room: " + (model.variables().size() - nrOneOrMoreRoomVariables) + " (" + sDoubleFormat.format(100.0 * (model.variables().size() - nrOneOrMoreRoomVariables) / model.variables().size()) + "%)");
    pw.println("Total number of classes requesting one room: " + nrOneRoomVariables + " (" + sDoubleFormat.format(100.0 * nrOneRoomVariables / model.variables().size()) + "%)");
    pw.println("Total number of classes requesting one or more rooms: " + nrOneOrMoreRoomVariables + " (" + sDoubleFormat.format(100.0 * nrOneOrMoreRoomVariables / model.variables().size()) + "%)");
    // pwi.println("% classes requesting no room,"+sDoubleFormat.format(100.0*(model.variables().size()-nrOneOrMoreRoomVariables)/model.variables().size())+"%");
    // pwi.println("% classes requesting one room,"+sDoubleFormat.format(100.0*nrOneRoomVariables/model.variables().size())+"%");
    // pwi.println("% classes requesting two or more rooms,"+sDoubleFormat.format(100.0*(nrOneOrMoreRoomVariables-nrOneRoomVariables)/model.variables().size())+"%");
    pw.println("Average number of requested rooms: " + sDoubleFormat.format(1.0 * nrReqRooms / model.variables().size()));
    pw.println("Average minimal class limit: " + sDoubleFormat.format(1.0 * totalMinLimit / model.variables().size()));
    pw.println("Average maximal class limit: " + sDoubleFormat.format(1.0 * totalMaxLimit / model.variables().size()));
    // pwi.println("Average class limit,"+sDoubleFormat.format(1.0*(totalMinLimit+totalMaxLimit)/(2*model.variables().size())));
    pw.println("Average number of placements: " + sDoubleFormat.format(1.0 * nrValues / model.variables().size()));
    // pwi.println("Average domain size,"+sDoubleFormat.format(1.0*nrValues/model.variables().size()));
    pwi.println("Avg. domain size," + sDoubleFormat.format(1.0 * nrValues / model.variables().size()));
    pw.println("Average number of time locations: " + sDoubleFormat.format(1.0 * nrTimes / model.variables().size()));
    pwi.println("Avg. number of avail. times/rooms," + sDoubleFormat.format(1.0 * nrTimes / model.variables().size()) + "/" + sDoubleFormat.format(1.0 * nrRooms / model.variables().size()));
    pw.println("Average number of room locations: " + sDoubleFormat.format(1.0 * nrRooms / model.variables().size()));
    pw.println("Average minimal requested room size: " + sDoubleFormat.format(1.0 * totalAvailableMinRoomSize / nrOneOrMoreRoomVariables));
    pw.println("Average maximal requested room size: " + sDoubleFormat.format(1.0 * totalAvailableMaxRoomSize / nrOneOrMoreRoomVariables));
    pw.println("Average requested room sizes: " + sDoubleFormat.format(1.0 * totalRoomSize / nrRooms));
    pwi.println("Average requested room size," + sDoubleFormat.format(1.0 * totalRoomSize / nrRooms));
    pw.println("Average maximum normalized time preference: " + sDoubleFormat.format(totalMaxNormTimePref / model.variables().size()));
    pw.println("Average minimum normalized time preference: " + sDoubleFormat.format(totalMinNormTimePref / model.variables().size()));
    pw.println("Average normalized time preference," + sDoubleFormat.format(totalNormTimePref / model.variables().size()));
    pw.println("Average maximum room preferences: " + sDoubleFormat.format(1.0 * totalMaxRoomPref / nrOneOrMoreRoomVariables));
    pw.println("Average minimum room preferences: " + sDoubleFormat.format(1.0 * totalMinRoomPref / nrOneOrMoreRoomVariables));
    pw.println("Average room preferences," + sDoubleFormat.format(1.0 * totalRoomPref / nrOneOrMoreRoomVariables));
    pw.println("Total number of students:" + students.size());
    pwi.println("Number of students," + students.size());
    pwi.println("Number of inevitable student conflicts," + nrInevitableStudentConflicts);
    pw.println("Total amount of student enrollments: " + nrStudentEnrls);
    pwi.println("Number of student enrollments," + nrStudentEnrls);
    pw.println("Total amount of joined enrollments: " + nrJenrls);
    pwi.println("Number of joint student enrollments," + nrJenrls);
    pw.println("Average number of students: " + sDoubleFormat.format(1.0 * students.size() / model.variables().size()));
    pw.println("Average number of enrollemnts (per student): " + sDoubleFormat.format(1.0 * nrStudentEnrls / students.size()));
    pwi.println("Avg. number of classes per student," + sDoubleFormat.format(1.0 * nrStudentEnrls / students.size()));
    pwi.println("Avg. number of committed classes per student," + sDoubleFormat.format(1.0 * totalCommitedPlacements / students.size()));
    pw.println("Total amount of inevitable student conflicts: " + nrInevitableStudentConflicts + " (" + sDoubleFormat.format(100.0 * nrInevitableStudentConflicts / nrStudentEnrls) + "%)");
    pw.println("Average number of meetings (per class): " + sDoubleFormat.format(1.0 * nrMeetings / model.variables().size()));
    pw.println("Average number of hours per class: " + sDoubleFormat.format(1.0 * nrHalfHours / model.variables().size() / 12.0));
    pwi.println("Avg. number of meetings per class," + sDoubleFormat.format(1.0 * nrMeetings / model.variables().size()));
    pwi.println("Avg. number of hours per class," + sDoubleFormat.format(1.0 * nrHalfHours / model.variables().size() / 12.0));
    int minRoomSize = Integer.MAX_VALUE;
    int maxRoomSize = Integer.MIN_VALUE;
    int nrDistancePairs = 0;
    double maxRoomDistance = Double.MIN_VALUE;
    double totalRoomDistance = 0.0;
    int[] totalAvailableSlots = new int[sizeLimits.length];
    int[] totalAvailableSeats = new int[sizeLimits.length];
    int nrOfRooms = 0;
    totalRoomSize = 0;
    for (RoomConstraint rc : model.getRoomConstraints()) {
        if (rc.variables().isEmpty())
            continue;
        nrOfRooms++;
        minRoomSize = Math.min(minRoomSize, rc.getCapacity());
        maxRoomSize = Math.max(maxRoomSize, rc.getCapacity());
        for (int l = 0; l < sizeLimits.length; l++) {
            if (sizeLimits[l] <= rc.getCapacity() && (l + 1 == sizeLimits.length || rc.getCapacity() < sizeLimits[l + 1])) {
                nrRoomsOfSize[l]++;
                if (minRoomOfSize[l] == 0)
                    minRoomOfSize[l] = rc.getCapacity();
                else
                    minRoomOfSize[l] = Math.min(minRoomOfSize[l], rc.getCapacity());
                if (maxRoomOfSize[l] == 0)
                    maxRoomOfSize[l] = rc.getCapacity();
                else
                    maxRoomOfSize[l] = Math.max(maxRoomOfSize[l], rc.getCapacity());
            }
        }
        totalRoomSize += rc.getCapacity();
        if (rc.getPosX() != null && rc.getPosY() != null) {
            for (RoomConstraint rc2 : model.getRoomConstraints()) {
                if (rc2.getResourceId().compareTo(rc.getResourceId()) > 0 && rc2.getPosX() != null && rc2.getPosY() != null) {
                    double distance = ((TimetableModel) solution.getModel()).getDistanceMetric().getDistanceInMinutes(rc.getId(), rc.getPosX(), rc.getPosY(), rc2.getId(), rc2.getPosX(), rc2.getPosY());
                    totalRoomDistance += distance;
                    nrDistancePairs++;
                    maxRoomDistance = Math.max(maxRoomDistance, distance);
                }
            }
        }
        for (int d = firstWorkDay; d <= lastWorkDay; d++) {
            for (int t = firstDaySlot; t <= lastDaySlot; t++) {
                if (rc.isAvailable(d * Constants.SLOTS_PER_DAY + t)) {
                    for (int l = 0; l < sizeLimits.length; l++) {
                        if (sizeLimits[l] <= rc.getCapacity()) {
                            totalAvailableSlots[l]++;
                            totalAvailableSeats[l] += rc.getCapacity();
                        }
                    }
                }
            }
        }
    }
    pw.println("Total number of rooms: " + nrOfRooms);
    pwi.println("Number of rooms," + nrOfRooms);
    pw.println("Minimal room size: " + minRoomSize);
    pw.println("Maximal room size: " + maxRoomSize);
    pwi.println("Room size min/max," + minRoomSize + "/" + maxRoomSize);
    pw.println("Average room size: " + sDoubleFormat.format(1.0 * totalRoomSize / model.getRoomConstraints().size()));
    pw.println("Maximal distance between two rooms: " + sDoubleFormat.format(maxRoomDistance));
    pw.println("Average distance between two rooms: " + sDoubleFormat.format(totalRoomDistance / nrDistancePairs));
    pwi.println("Average distance between two rooms [min]," + sDoubleFormat.format(totalRoomDistance / nrDistancePairs));
    pwi.println("Maximal distance between two rooms [min]," + sDoubleFormat.format(maxRoomDistance));
    for (int l = 0; l < sizeLimits.length; l++) {
        // sizeLimits.length;l++) {
        pwi.println("\"Room frequency (size>=" + sizeLimits[l] + ", used/avaiable times)\"," + sDoubleFormat.format(100.0 * totalUsedSlots[l] / totalAvailableSlots[l]) + "%");
        pwi.println("\"Room utilization (size>=" + sizeLimits[l] + ", used/available seats)\"," + sDoubleFormat.format(100.0 * totalUsedSeats[l] / totalAvailableSeats[l]) + "%");
        pwi.println("\"Number of rooms (size>=" + sizeLimits[l] + ")\"," + nrRoomsOfSize[l]);
        pwi.println("\"Min/max room size (size>=" + sizeLimits[l] + ")\"," + minRoomOfSize[l] + "-" + maxRoomOfSize[l]);
    // pwi.println("\"Room utilization (size>="+sizeLimits[l]+", minRoomSize)\","+sDoubleFormat.format(100.0*totalUsedSeats2[l]/totalAvailableSeats[l])+"%");
    }
    pw.println("Average hours available: " + sDoubleFormat.format(1.0 * totalAvailableSlots[0] / nrOfRooms / 12.0));
    int totalInstructedClasses = 0;
    for (InstructorConstraint ic : model.getInstructorConstraints()) {
        totalInstructedClasses += ic.variables().size();
    }
    pw.println("Total number of instructors: " + model.getInstructorConstraints().size());
    pwi.println("Number of instructors," + model.getInstructorConstraints().size());
    pw.println("Total class-instructor assignments: " + totalInstructedClasses + " (" + sDoubleFormat.format(100.0 * totalInstructedClasses / model.variables().size()) + "%)");
    pwi.println("Number of class-instructor assignments," + totalInstructedClasses);
    pw.println("Average classes per instructor: " + sDoubleFormat.format(1.0 * totalInstructedClasses / model.getInstructorConstraints().size()));
    pwi.println("Average classes per instructor," + sDoubleFormat.format(1.0 * totalInstructedClasses / model.getInstructorConstraints().size()));
    // pw.println("Average hours available: "+sDoubleFormat.format(1.0*totalAvailableSlots/model.getInstructorConstraints().size()/12.0));
    // pwi.println("Instructor availability [h],"+sDoubleFormat.format(1.0*totalAvailableSlots/model.getInstructorConstraints().size()/12.0));
    int nrGroupConstraints = model.getGroupConstraints().size() + model.getSpreadConstraints().size();
    int nrHardGroupConstraints = 0;
    int nrVarsInGroupConstraints = 0;
    for (GroupConstraint gc : model.getGroupConstraints()) {
        if (gc.isHard())
            nrHardGroupConstraints++;
        nrVarsInGroupConstraints += gc.variables().size();
    }
    for (SpreadConstraint sc : model.getSpreadConstraints()) {
        nrVarsInGroupConstraints += sc.variables().size();
    }
    pw.println("Total number of group constraints: " + nrGroupConstraints + " (" + sDoubleFormat.format(100.0 * nrGroupConstraints / model.variables().size()) + "%)");
    // pwi.println("Number of group constraints,"+nrGroupConstraints);
    pw.println("Total number of hard group constraints: " + nrHardGroupConstraints + " (" + sDoubleFormat.format(100.0 * nrHardGroupConstraints / model.variables().size()) + "%)");
    // pwi.println("Number of hard group constraints,"+nrHardGroupConstraints);
    pw.println("Average classes per group constraint: " + sDoubleFormat.format(1.0 * nrVarsInGroupConstraints / nrGroupConstraints));
    // pwi.println("Average classes per group constraint,"+sDoubleFormat.format(1.0*nrVarsInGroupConstraints/nrGroupConstraints));
    pwi.println("Avg. number distribution constraints per class," + sDoubleFormat.format(1.0 * nrVarsInGroupConstraints / model.variables().size()));
    pwi.println("Joint enrollment constraints," + model.getJenrlConstraints().size());
    pw.flush();
    pw.close();
    pwi.flush();
    pwi.close();
}

Example 7 with SpreadConstraint

use of org.cpsolver.coursett.constraint.SpreadConstraint in project cpsolver by UniTime.

the class Test method saveOutputCSV.

public static void saveOutputCSV(Solution<Lecture, Placement> s, File file) {
    try {
        DecimalFormat dx = new DecimalFormat("000");
        PrintWriter w = new PrintWriter(new FileWriter(file));
        TimetableModel m = (TimetableModel) s.getModel();
        int firstDaySlot = m.getProperties().getPropertyInt("General.FirstDaySlot", Constants.DAY_SLOTS_FIRST);
        int lastDaySlot = m.getProperties().getPropertyInt("General.LastDaySlot", Constants.DAY_SLOTS_LAST);
        int firstWorkDay = m.getProperties().getPropertyInt("General.FirstWorkDay", 0);
        int lastWorkDay = m.getProperties().getPropertyInt("General.LastWorkDay", Constants.NR_DAYS_WEEK - 1);
        Assignment<Lecture, Placement> a = s.getAssignment();
        int idx = 1;
        w.println("000." + dx.format(idx++) + " Assigned variables," + a.nrAssignedVariables());
        w.println("000." + dx.format(idx++) + " Time [sec]," + sDoubleFormat.format(s.getBestTime()));
        w.println("000." + dx.format(idx++) + " Hard student conflicts," + Math.round(m.getCriterion(StudentHardConflict.class).getValue(a)));
        if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true))
            w.println("000." + dx.format(idx++) + " Distance student conf.," + Math.round(m.getCriterion(StudentDistanceConflict.class).getValue(a)));
        w.println("000." + dx.format(idx++) + " Student conflicts," + Math.round(m.getCriterion(StudentConflict.class).getValue(a)));
        w.println("000." + dx.format(idx++) + " Committed student conflicts," + Math.round(m.getCriterion(StudentCommittedConflict.class).getValue(a)));
        w.println("000." + dx.format(idx++) + " All Student conflicts," + Math.round(m.getCriterion(StudentConflict.class).getValue(a) + m.getCriterion(StudentCommittedConflict.class).getValue(a)));
        w.println("000." + dx.format(idx++) + " Time preferences," + sDoubleFormat.format(m.getCriterion(TimePreferences.class).getValue(a)));
        w.println("000." + dx.format(idx++) + " Room preferences," + Math.round(m.getCriterion(RoomPreferences.class).getValue(a)));
        w.println("000." + dx.format(idx++) + " Useless half-hours," + Math.round(m.getCriterion(UselessHalfHours.class).getValue(a)));
        w.println("000." + dx.format(idx++) + " Broken time patterns," + Math.round(m.getCriterion(BrokenTimePatterns.class).getValue(a)));
        w.println("000." + dx.format(idx++) + " Too big room," + Math.round(m.getCriterion(TooBigRooms.class).getValue(a)));
        w.println("000." + dx.format(idx++) + " Distribution preferences," + sDoubleFormat.format(m.getCriterion(DistributionPreferences.class).getValue(a)));
        if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true))
            w.println("000." + dx.format(idx++) + " Back-to-back instructor pref.," + Math.round(m.getCriterion(BackToBackInstructorPreferences.class).getValue(a)));
        if (m.getProperties().getPropertyBoolean("General.DeptBalancing", true)) {
            w.println("000." + dx.format(idx++) + " Dept. balancing penalty," + sDoubleFormat.format(m.getCriterion(DepartmentBalancingPenalty.class).getValue(a)));
        }
        w.println("000." + dx.format(idx++) + " Same subpart balancing penalty," + sDoubleFormat.format(m.getCriterion(SameSubpartBalancingPenalty.class).getValue(a)));
        if (m.getProperties().getPropertyBoolean("General.MPP", false)) {
            Map<String, Double> mppInfo = ((UniversalPerturbationsCounter) ((Perturbations) m.getCriterion(Perturbations.class)).getPerturbationsCounter()).getCompactInfo(a, m, false, false);
            int pidx = 51;
            w.println("000." + dx.format(pidx++) + " Perturbation penalty," + sDoubleFormat.format(m.getCriterion(Perturbations.class).getValue(a)));
            w.println("000." + dx.format(pidx++) + " Additional perturbations," + m.perturbVariables(a).size());
            int nrPert = 0, nrStudentPert = 0;
            for (Lecture lecture : m.variables()) {
                if (lecture.getInitialAssignment() != null)
                    continue;
                nrPert++;
                nrStudentPert += lecture.classLimit(a);
            }
            w.println("000." + dx.format(pidx++) + " Given perturbations," + nrPert);
            w.println("000." + dx.format(pidx++) + " Given student perturbations," + nrStudentPert);
            for (String key : new TreeSet<String>(mppInfo.keySet())) {
                Double value = mppInfo.get(key);
                w.println("000." + dx.format(pidx++) + " " + key + "," + sDoubleFormat.format(value));
            }
        }
        HashSet<Student> students = new HashSet<Student>();
        int enrls = 0;
        int minRoomPref = 0, maxRoomPref = 0;
        int minGrPref = 0, maxGrPref = 0;
        int minTimePref = 0, maxTimePref = 0;
        int worstInstrPref = 0;
        HashSet<Constraint<Lecture, Placement>> used = new HashSet<Constraint<Lecture, Placement>>();
        for (Lecture lecture : m.variables()) {
            enrls += (lecture.students() == null ? 0 : lecture.students().size());
            students.addAll(lecture.students());
            int[] minMaxRoomPref = lecture.getMinMaxRoomPreference();
            maxRoomPref += minMaxRoomPref[1] - minMaxRoomPref[0];
            double[] minMaxTimePref = lecture.getMinMaxTimePreference();
            maxTimePref += minMaxTimePref[1] - minMaxTimePref[0];
            for (Constraint<Lecture, Placement> c : lecture.constraints()) {
                if (!used.add(c))
                    continue;
                if (c instanceof InstructorConstraint) {
                    InstructorConstraint ic = (InstructorConstraint) c;
                    worstInstrPref += ic.getWorstPreference();
                }
                if (c instanceof GroupConstraint) {
                    GroupConstraint gc = (GroupConstraint) c;
                    if (gc.isHard())
                        continue;
                    maxGrPref += Math.abs(gc.getPreference()) * (1 + (gc.variables().size() * (gc.variables().size() - 1)) / 2);
                }
            }
        }
        int totalCommitedPlacements = 0;
        for (Student student : students) {
            if (student.getCommitedPlacements() != null)
                totalCommitedPlacements += student.getCommitedPlacements().size();
        }
        HashMap<Long, List<Lecture>> subs = new HashMap<Long, List<Lecture>>();
        for (Lecture lecture : m.variables()) {
            if (lecture.isCommitted() || lecture.getScheduler() == null)
                continue;
            List<Lecture> vars = subs.get(lecture.getScheduler());
            if (vars == null) {
                vars = new ArrayList<Lecture>();
                subs.put(lecture.getScheduler(), vars);
            }
            vars.add(lecture);
        }
        int bidx = 101;
        w.println("000." + dx.format(bidx++) + " Assigned variables max," + m.variables().size());
        w.println("000." + dx.format(bidx++) + " Student enrollments," + enrls);
        w.println("000." + dx.format(bidx++) + " Student commited enrollments," + totalCommitedPlacements);
        w.println("000." + dx.format(bidx++) + " All student enrollments," + (enrls + totalCommitedPlacements));
        w.println("000." + dx.format(bidx++) + " Time preferences min," + minTimePref);
        w.println("000." + dx.format(bidx++) + " Time preferences max," + maxTimePref);
        w.println("000." + dx.format(bidx++) + " Room preferences min," + minRoomPref);
        w.println("000." + dx.format(bidx++) + " Room preferences max," + maxRoomPref);
        w.println("000." + dx.format(bidx++) + " Useless half-hours max," + (Constants.sPreferenceLevelStronglyDiscouraged * m.getRoomConstraints().size() * (lastDaySlot - firstDaySlot + 1) * (lastWorkDay - firstWorkDay + 1)));
        w.println("000." + dx.format(bidx++) + " Too big room max," + (Constants.sPreferenceLevelStronglyDiscouraged * m.variables().size()));
        w.println("000." + dx.format(bidx++) + " Distribution preferences min," + minGrPref);
        w.println("000." + dx.format(bidx++) + " Distribution preferences max," + maxGrPref);
        w.println("000." + dx.format(bidx++) + " Back-to-back instructor pref max," + worstInstrPref);
        for (Long scheduler : new TreeSet<Long>(subs.keySet())) {
            List<Lecture> vars = subs.get(scheduler);
            idx = 001;
            bidx = 101;
            int nrAssg = 0;
            enrls = 0;
            int roomPref = 0;
            minRoomPref = 0;
            maxRoomPref = 0;
            double timePref = 0;
            minTimePref = 0;
            maxTimePref = 0;
            double grPref = 0;
            minGrPref = 0;
            maxGrPref = 0;
            long allSC = 0, hardSC = 0, distSC = 0;
            int instPref = 0;
            worstInstrPref = 0;
            int spreadPen = 0, deptSpreadPen = 0;
            int tooBigRooms = 0;
            int rcs = 0, uselessSlots = 0;
            used = new HashSet<Constraint<Lecture, Placement>>();
            for (Lecture lecture : vars) {
                if (lecture.isCommitted())
                    continue;
                enrls += lecture.students().size();
                Placement placement = a.getValue(lecture);
                if (placement != null) {
                    nrAssg++;
                }
                int[] minMaxRoomPref = lecture.getMinMaxRoomPreference();
                minRoomPref += minMaxRoomPref[0];
                maxRoomPref += minMaxRoomPref[1];
                double[] minMaxTimePref = lecture.getMinMaxTimePreference();
                minTimePref += minMaxTimePref[0];
                maxTimePref += minMaxTimePref[1];
                if (placement != null) {
                    roomPref += placement.getRoomPreference();
                    timePref += placement.getTimeLocation().getNormalizedPreference();
                    tooBigRooms += TooBigRooms.getTooBigRoomPreference(placement);
                }
                for (Constraint<Lecture, Placement> c : lecture.constraints()) {
                    if (!used.add(c))
                        continue;
                    if (c instanceof InstructorConstraint) {
                        InstructorConstraint ic = (InstructorConstraint) c;
                        instPref += ic.getPreference(a);
                        worstInstrPref += ic.getWorstPreference();
                    }
                    if (c instanceof DepartmentSpreadConstraint) {
                        DepartmentSpreadConstraint dsc = (DepartmentSpreadConstraint) c;
                        deptSpreadPen += dsc.getPenalty(a);
                    } else if (c instanceof SpreadConstraint) {
                        SpreadConstraint sc = (SpreadConstraint) c;
                        spreadPen += sc.getPenalty(a);
                    }
                    if (c instanceof GroupConstraint) {
                        GroupConstraint gc = (GroupConstraint) c;
                        if (gc.isHard())
                            continue;
                        minGrPref -= Math.abs(gc.getPreference());
                        maxGrPref += 0;
                        grPref += Math.min(0, gc.getCurrentPreference(a));
                    // minGrPref += Math.min(gc.getPreference(), 0);
                    // maxGrPref += Math.max(gc.getPreference(), 0);
                    // grPref += gc.getCurrentPreference();
                    }
                    if (c instanceof JenrlConstraint) {
                        JenrlConstraint jc = (JenrlConstraint) c;
                        if (!jc.isInConflict(a) || !jc.isOfTheSameProblem())
                            continue;
                        Lecture l1 = jc.first();
                        Lecture l2 = jc.second();
                        allSC += jc.getJenrl();
                        if (l1.areStudentConflictsHard(l2))
                            hardSC += jc.getJenrl();
                        Placement p1 = a.getValue(l1);
                        Placement p2 = a.getValue(l2);
                        if (!p1.getTimeLocation().hasIntersection(p2.getTimeLocation()))
                            distSC += jc.getJenrl();
                    }
                    if (c instanceof RoomConstraint) {
                        RoomConstraint rc = (RoomConstraint) c;
                        uselessSlots += UselessHalfHours.countUselessSlotsHalfHours(rc.getContext(a)) + BrokenTimePatterns.countUselessSlotsBrokenTimePatterns(rc.getContext(a));
                        rcs++;
                    }
                }
            }
            w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Assigned variables," + nrAssg);
            w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Assigned variables max," + vars.size());
            w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Hard student conflicts," + hardSC);
            w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Student enrollments," + enrls);
            if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true))
                w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Distance student conf.," + distSC);
            w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Student conflicts," + allSC);
            w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Time preferences," + timePref);
            w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Time preferences min," + minTimePref);
            w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Time preferences max," + maxTimePref);
            w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Room preferences," + roomPref);
            w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Room preferences min," + minRoomPref);
            w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Room preferences max," + maxRoomPref);
            w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Useless half-hours," + uselessSlots);
            w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Useless half-hours max," + (Constants.sPreferenceLevelStronglyDiscouraged * rcs * (lastDaySlot - firstDaySlot + 1) * (lastWorkDay - firstWorkDay + 1)));
            w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Too big room," + tooBigRooms);
            w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Too big room max," + (Constants.sPreferenceLevelStronglyDiscouraged * vars.size()));
            w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Distribution preferences," + grPref);
            w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Distribution preferences min," + minGrPref);
            w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Distribution preferences max," + maxGrPref);
            if (m.getProperties().getPropertyBoolean("General.UseDistanceConstraints", true))
                w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Back-to-back instructor pref," + instPref);
            w.println(dx.format(scheduler) + "." + dx.format(bidx++) + " Back-to-back instructor pref max," + worstInstrPref);
            if (m.getProperties().getPropertyBoolean("General.DeptBalancing", true)) {
                w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Department balancing penalty," + sDoubleFormat.format((deptSpreadPen) / 12.0));
            }
            w.println(dx.format(scheduler) + "." + dx.format(idx++) + " Same subpart balancing penalty," + sDoubleFormat.format((spreadPen) / 12.0));
        }
        w.flush();
        w.close();
    } catch (java.io.IOException io) {
        sLogger.error(io.getMessage(), io);
    }
}