use of org.cpsolver.studentsct.model.Student in project cpsolver by UniTime.
the class Test method section.
public boolean section(Student original) {
OnlineSectioningModel model = new TestModel(iModel.getProperties());
model.setOverExpectedCriterion(iModel.getOverExpectedCriterion());
Student student = new Student(original.getId());
Hashtable<CourseRequest, Set<Section>> preferredSectionsForCourse = new Hashtable<CourseRequest, Set<Section>>();
Map<Long, Section> classTable = new HashMap<Long, Section>();
synchronized (iModel) {
for (Request request : original.getRequests()) {
Request clonnedRequest = addRequest(student, original, request, classTable, model);
Enrollment enrollment = assignment().getValue(request);
if (enrollment != null && enrollment.isCourseRequest()) {
Set<Section> sections = new HashSet<Section>();
for (Section section : enrollment.getSections()) sections.add(classTable.get(section.getId()));
preferredSectionsForCourse.put((CourseRequest) clonnedRequest, sections);
}
}
}
model.addStudent(student);
model.setDistanceConflict(new DistanceConflict(iModel.getDistanceConflict().getDistanceMetric(), model.getProperties()));
model.setTimeOverlaps(new TimeOverlapsCounter(null, model.getProperties()));
for (LinkedSections link : iModel.getLinkedSections()) {
List<Section> sections = new ArrayList<Section>();
for (Offering offering : link.getOfferings()) for (Subpart subpart : link.getSubparts(offering)) for (Section section : link.getSections(subpart)) {
Section x = classTable.get(section.getId());
if (x != null)
sections.add(x);
}
if (sections.size() >= 2)
model.addLinkedSections(link.isMustBeUsed(), sections);
}
OnlineSectioningSelection selection = null;
if (model.getProperties().getPropertyBoolean("StudentWeights.MultiCriteria", true)) {
selection = new MultiCriteriaBranchAndBoundSelection(iModel.getProperties());
} else {
selection = new SuggestionSelection(model.getProperties());
}
selection.setModel(model);
selection.setPreferredSections(preferredSectionsForCourse);
selection.setRequiredSections(new Hashtable<CourseRequest, Set<Section>>());
selection.setRequiredFreeTimes(new HashSet<FreeTimeRequest>());
long t0 = JProf.currentTimeMillis();
Assignment<Request, Enrollment> newAssignment = new AssignmentMap<Request, Enrollment>();
BranchBoundNeighbour neighbour = selection.select(newAssignment, student);
long time = JProf.currentTimeMillis() - t0;
inc("[C] CPU Time", time);
if (neighbour == null) {
inc("[F] Failure");
} else {
if (iSuggestions) {
StudentPreferencePenalties penalties = new StudentPreferencePenalties(StudentPreferencePenalties.sDistTypePreference);
double maxOverExpected = 0;
int assigned = 0;
double penalty = 0.0;
Hashtable<CourseRequest, Set<Section>> enrollments = new Hashtable<CourseRequest, Set<Section>>();
List<RequestSectionPair> pairs = new ArrayList<RequestSectionPair>();
for (int i = 0; i < neighbour.getAssignment().length; i++) {
Enrollment enrl = neighbour.getAssignment()[i];
if (enrl != null && enrl.isCourseRequest() && enrl.getAssignments() != null) {
assigned++;
for (Section section : enrl.getSections()) {
maxOverExpected += model.getOverExpected(newAssignment, section, enrl.getRequest());
pairs.add(new RequestSectionPair(enrl.variable(), section));
}
enrollments.put((CourseRequest) enrl.variable(), enrl.getSections());
penalty += penalties.getPenalty(enrl);
}
}
penalty /= assigned;
inc("[S] Initial Penalty", penalty);
double nrSuggestions = 0.0, nrAccepted = 0.0, totalSuggestions = 0.0, nrTries = 0.0;
for (int i = 0; i < pairs.size(); i++) {
RequestSectionPair pair = pairs.get(i);
SuggestionsBranchAndBound suggestionBaB = null;
if (model.getProperties().getPropertyBoolean("StudentWeights.MultiCriteria", true)) {
suggestionBaB = new MultiCriteriaBranchAndBoundSuggestions(model.getProperties(), student, newAssignment, new Hashtable<CourseRequest, Set<Section>>(), new HashSet<FreeTimeRequest>(), enrollments, pair.getRequest(), pair.getSection(), null, maxOverExpected, iModel.getProperties().getPropertyBoolean("StudentWeights.PriorityWeighting", true));
} else {
suggestionBaB = new SuggestionsBranchAndBound(model.getProperties(), student, newAssignment, new Hashtable<CourseRequest, Set<Section>>(), new HashSet<FreeTimeRequest>(), enrollments, pair.getRequest(), pair.getSection(), null, maxOverExpected);
}
long x0 = JProf.currentTimeMillis();
TreeSet<SuggestionsBranchAndBound.Suggestion> suggestions = suggestionBaB.computeSuggestions();
inc("[S] Suggestion CPU Time", JProf.currentTimeMillis() - x0);
totalSuggestions += suggestions.size();
if (!suggestions.isEmpty())
nrSuggestions += 1.0;
nrTries += 1.0;
SuggestionsBranchAndBound.Suggestion best = null;
for (SuggestionsBranchAndBound.Suggestion suggestion : suggestions) {
int a = 0;
double p = 0.0;
for (int j = 0; j < suggestion.getEnrollments().length; j++) {
Enrollment e = suggestion.getEnrollments()[j];
if (e != null && e.isCourseRequest() && e.getAssignments() != null) {
p += penalties.getPenalty(e);
a++;
}
}
p /= a;
if (a > assigned || (assigned == a && p < penalty)) {
best = suggestion;
}
}
if (best != null) {
nrAccepted += 1.0;
Enrollment[] e = best.getEnrollments();
for (int j = 0; j < e.length; j++) if (e[j] != null && e[j].getAssignments() == null)
e[j] = null;
neighbour = new BranchBoundNeighbour(student, best.getValue(), e);
assigned = 0;
penalty = 0.0;
enrollments.clear();
pairs.clear();
for (int j = 0; j < neighbour.getAssignment().length; j++) {
Enrollment enrl = neighbour.getAssignment()[j];
if (enrl != null && enrl.isCourseRequest() && enrl.getAssignments() != null) {
assigned++;
for (Section section : enrl.getSections()) pairs.add(new RequestSectionPair(enrl.variable(), section));
enrollments.put((CourseRequest) enrl.variable(), enrl.getSections());
penalty += penalties.getPenalty(enrl);
}
}
penalty /= assigned;
inc("[S] Improved Penalty", penalty);
}
}
inc("[S] Final Penalty", penalty);
if (nrSuggestions > 0) {
inc("[S] Classes with suggestion", nrSuggestions);
inc("[S] Avg. # of suggestions", totalSuggestions / nrSuggestions);
inc("[S] Suggestion acceptance rate [%]", nrAccepted / nrSuggestions);
} else {
inc("[S] Student with no suggestions available", 1.0);
}
if (!pairs.isEmpty())
inc("[S] Probability that a class has suggestions [%]", nrSuggestions / nrTries);
}
List<Enrollment> enrollments = new ArrayList<Enrollment>();
i: for (int i = 0; i < neighbour.getAssignment().length; i++) {
Request request = original.getRequests().get(i);
Enrollment clonnedEnrollment = neighbour.getAssignment()[i];
if (clonnedEnrollment != null && clonnedEnrollment.getAssignments() != null) {
if (request instanceof FreeTimeRequest) {
enrollments.add(((FreeTimeRequest) request).createEnrollment());
} else {
for (Course course : ((CourseRequest) request).getCourses()) if (course.getId() == clonnedEnrollment.getCourse().getId())
for (Config config : course.getOffering().getConfigs()) if (config.getId() == clonnedEnrollment.getConfig().getId()) {
Set<Section> assignments = new HashSet<Section>();
for (Subpart subpart : config.getSubparts()) for (Section section : subpart.getSections()) {
if (clonnedEnrollment.getSections().contains(section)) {
assignments.add(section);
}
}
Reservation reservation = null;
if (clonnedEnrollment.getReservation() != null) {
for (Reservation r : course.getOffering().getReservations()) if (r.getId() == clonnedEnrollment.getReservation().getId()) {
reservation = r;
break;
}
}
enrollments.add(new Enrollment(request, clonnedEnrollment.getPriority(), course, config, assignments, reservation));
continue i;
}
}
}
}
synchronized (iModel) {
for (Request r : original.getRequests()) {
Enrollment e = assignment().getValue(r);
r.setInitialAssignment(e);
if (e != null)
updateSpace(assignment(), e, true);
}
for (Request r : original.getRequests()) if (assignment().getValue(r) != null)
assignment().unassign(0, r);
boolean fail = false;
for (Enrollment enrl : enrollments) {
if (iModel.conflictValues(assignment(), enrl).isEmpty()) {
assignment().assign(0, enrl);
} else {
fail = true;
break;
}
}
if (fail) {
for (Request r : original.getRequests()) if (assignment().getValue(r) != null)
assignment().unassign(0, r);
for (Request r : original.getRequests()) if (r.getInitialAssignment() != null)
assignment().assign(0, r.getInitialAssignment());
for (Request r : original.getRequests()) if (assignment().getValue(r) != null)
updateSpace(assignment(), assignment().getValue(r), false);
} else {
for (Enrollment enrl : enrollments) updateSpace(assignment(), enrl, false);
}
if (fail)
return false;
}
neighbour.assign(newAssignment, 0);
int a = 0, u = 0, np = 0, zp = 0, pp = 0, cp = 0;
double over = 0;
double p = 0.0;
for (Request r : student.getRequests()) {
if (r instanceof CourseRequest) {
Enrollment e = newAssignment.getValue(r);
if (e != null) {
for (Section s : e.getSections()) {
if (s.getPenalty() < 0.0)
np++;
if (s.getPenalty() == 0.0)
zp++;
if (s.getPenalty() > 0.0)
pp++;
if (s.getLimit() > 0) {
p += s.getPenalty();
cp++;
}
over += model.getOverExpected(newAssignment, s, r);
}
a++;
} else {
u++;
}
}
}
inc("[A] Student");
if (over > 0.0)
inc("[O] Over", over);
if (a > 0)
inc("[A] Assigned", a);
if (u > 0)
inc("[A] Not Assigned", u);
inc("[V] Value", neighbour.value(newAssignment));
if (zp > 0)
inc("[P] Zero penalty", zp);
if (np > 0)
inc("[P] Negative penalty", np);
if (pp > 0)
inc("[P] Positive penalty", pp);
if (cp > 0)
inc("[P] Average penalty", p / cp);
}
inc("[T0] Time <10ms", time < 10 ? 1 : 0);
inc("[T1] Time <100ms", time < 100 ? 1 : 0);
inc("[T2] Time <250ms", time < 250 ? 1 : 0);
inc("[T3] Time <500ms", time < 500 ? 1 : 0);
inc("[T4] Time <1s", time < 1000 ? 1 : 0);
inc("[T5] Time >=1s", time >= 1000 ? 1 : 0);
return true;
}
use of org.cpsolver.studentsct.model.Student in project cpsolver by UniTime.
the class EqualStudentWeights method main.
/**
* Test case -- run to see the weights for a few courses
* @param args program arguments
*/
public static void main(String[] args) {
EqualStudentWeights pw = new EqualStudentWeights(new DataProperties());
DecimalFormat df = new DecimalFormat("0.0000");
Student s = new Student(0l);
new CourseRequest(1l, 0, false, s, ToolBox.toList(new Course(1, "A", "1", new Offering(0, "A")), new Course(1, "A", "2", new Offering(0, "A")), new Course(1, "A", "3", new Offering(0, "A"))), false, null);
new CourseRequest(2l, 1, false, s, ToolBox.toList(new Course(1, "B", "1", new Offering(0, "B")), new Course(1, "B", "2", new Offering(0, "B")), new Course(1, "B", "3", new Offering(0, "B"))), false, null);
new CourseRequest(3l, 2, false, s, ToolBox.toList(new Course(1, "C", "1", new Offering(0, "C")), new Course(1, "C", "2", new Offering(0, "C")), new Course(1, "C", "3", new Offering(0, "C"))), false, null);
new CourseRequest(5l, 4, false, s, ToolBox.toList(new Course(1, "E", "1", new Offering(0, "E")), new Course(1, "E", "2", new Offering(0, "E")), new Course(1, "E", "3", new Offering(0, "E"))), false, null);
new CourseRequest(6l, 5, true, s, ToolBox.toList(new Course(1, "F", "1", new Offering(0, "F")), new Course(1, "F", "2", new Offering(0, "F")), new Course(1, "F", "3", new Offering(0, "F"))), false, null);
new CourseRequest(7l, 6, true, s, ToolBox.toList(new Course(1, "G", "1", new Offering(0, "G")), new Course(1, "G", "2", new Offering(0, "G")), new Course(1, "G", "3", new Offering(0, "G"))), false, null);
Assignment<Request, Enrollment> assignment = new DefaultSingleAssignment<Request, Enrollment>();
Placement p = new Placement(null, new TimeLocation(1, 90, 12, 0, 0, null, null, new BitSet(), 10), new ArrayList<RoomLocation>());
for (Request r : s.getRequests()) {
CourseRequest cr = (CourseRequest) r;
double[] w = new double[] { 0.0, 0.0, 0.0 };
for (int i = 0; i < cr.getCourses().size(); i++) {
Config cfg = new Config(0l, -1, "", cr.getCourses().get(i).getOffering());
Set<SctAssignment> sections = new HashSet<SctAssignment>();
sections.add(new Section(0, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), p, null));
Enrollment e = new Enrollment(cr, i, cfg, sections, assignment);
w[i] = pw.getWeight(assignment, e, null, null);
}
System.out.println(cr + ": " + df.format(w[0]) + " " + df.format(w[1]) + " " + df.format(w[2]));
}
System.out.println("With one distance conflict:");
for (Request r : s.getRequests()) {
CourseRequest cr = (CourseRequest) r;
double[] w = new double[] { 0.0, 0.0, 0.0 };
for (int i = 0; i < cr.getCourses().size(); i++) {
Config cfg = new Config(0l, -1, "", cr.getCourses().get(i).getOffering());
Set<SctAssignment> sections = new HashSet<SctAssignment>();
sections.add(new Section(0, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), p, null));
Enrollment e = new Enrollment(cr, i, cfg, sections, assignment);
Set<DistanceConflict.Conflict> dc = new HashSet<DistanceConflict.Conflict>();
dc.add(new DistanceConflict.Conflict(s, e, (Section) sections.iterator().next(), e, (Section) sections.iterator().next()));
w[i] = pw.getWeight(assignment, e, dc, null);
}
System.out.println(cr + ": " + df.format(w[0]) + " " + df.format(w[1]) + " " + df.format(w[2]));
}
System.out.println("With two distance conflicts:");
for (Request r : s.getRequests()) {
CourseRequest cr = (CourseRequest) r;
double[] w = new double[] { 0.0, 0.0, 0.0 };
for (int i = 0; i < cr.getCourses().size(); i++) {
Config cfg = new Config(0l, -1, "", cr.getCourses().get(i).getOffering());
Set<SctAssignment> sections = new HashSet<SctAssignment>();
sections.add(new Section(0, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), p, null));
Enrollment e = new Enrollment(cr, i, cfg, sections, assignment);
Set<DistanceConflict.Conflict> dc = new HashSet<DistanceConflict.Conflict>();
dc.add(new DistanceConflict.Conflict(s, e, (Section) sections.iterator().next(), e, (Section) sections.iterator().next()));
dc.add(new DistanceConflict.Conflict(s, e, (Section) sections.iterator().next(), e, new Section(1, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), p, null)));
w[i] = pw.getWeight(assignment, e, dc, null);
}
System.out.println(cr + ": " + df.format(w[0]) + " " + df.format(w[1]) + " " + df.format(w[2]));
}
System.out.println("With 25% time overlapping conflict:");
for (Request r : s.getRequests()) {
CourseRequest cr = (CourseRequest) r;
double[] w = new double[] { 0.0, 0.0, 0.0 };
for (int i = 0; i < cr.getCourses().size(); i++) {
Config cfg = new Config(0l, -1, "", cr.getCourses().get(i).getOffering());
Set<SctAssignment> sections = new HashSet<SctAssignment>();
sections.add(new Section(0, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), p, null));
Enrollment e = new Enrollment(cr, i, cfg, sections, assignment);
Set<TimeOverlapsCounter.Conflict> toc = new HashSet<TimeOverlapsCounter.Conflict>();
toc.add(new TimeOverlapsCounter.Conflict(s, 3, e, sections.iterator().next(), e, sections.iterator().next()));
w[i] = pw.getWeight(assignment, e, null, toc);
}
System.out.println(cr + ": " + df.format(w[0]) + " " + df.format(w[1]) + " " + df.format(w[2]));
}
System.out.println("Disbalanced sections (by 2 / 10 students):");
for (Request r : s.getRequests()) {
CourseRequest cr = (CourseRequest) r;
double[] w = new double[] { 0.0, 0.0, 0.0 };
for (int i = 0; i < cr.getCourses().size(); i++) {
Config cfg = new Config(0l, -1, "", cr.getCourses().get(i).getOffering());
Set<SctAssignment> sections = new HashSet<SctAssignment>();
Subpart x = new Subpart(0, "Lec", "Lec", cfg, null);
Section a = new Section(0, 10, "x", x, p, null);
new Section(1, 10, "y", x, p, null);
sections.add(a);
a.assigned(assignment, new Enrollment(s.getRequests().get(0), i, cfg, sections, assignment));
a.assigned(assignment, new Enrollment(s.getRequests().get(0), i, cfg, sections, assignment));
cfg.getContext(assignment).assigned(assignment, new Enrollment(s.getRequests().get(0), i, cfg, sections, assignment));
cfg.getContext(assignment).assigned(assignment, new Enrollment(s.getRequests().get(0), i, cfg, sections, assignment));
Enrollment e = new Enrollment(cr, i, cfg, sections, assignment);
w[i] = pw.getWeight(assignment, e, null, null);
}
System.out.println(cr + ": " + df.format(w[0]) + " " + df.format(w[1]) + " " + df.format(w[2]));
}
System.out.println("Same sections:");
pw.iMPP = true;
for (Request r : s.getRequests()) {
CourseRequest cr = (CourseRequest) r;
double[] w = new double[] { 0.0, 0.0, 0.0 };
double dif = 0;
for (int i = 0; i < cr.getCourses().size(); i++) {
Config cfg = new Config(0l, -1, "", cr.getCourses().get(i).getOffering());
Set<SctAssignment> sections = new HashSet<SctAssignment>();
sections.add(new Section(0, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), p, null));
Enrollment e = new Enrollment(cr, i, cfg, sections, assignment);
cr.setInitialAssignment(new Enrollment(cr, i, cfg, sections, assignment));
w[i] = pw.getWeight(assignment, e, null, null);
dif = pw.getDifference(e);
}
System.out.println(cr + ": " + df.format(w[0]) + " " + df.format(w[1]) + " " + df.format(w[2]) + " (" + df.format(dif) + ")");
}
System.out.println("Same choice sections:");
pw.iMPP = true;
for (Request r : s.getRequests()) {
CourseRequest cr = (CourseRequest) r;
double[] w = new double[] { 0.0, 0.0, 0.0 };
double dif = 0;
for (int i = 0; i < cr.getCourses().size(); i++) {
Config cfg = new Config(0l, -1, "", cr.getCourses().get(i).getOffering());
Set<SctAssignment> sections = new HashSet<SctAssignment>();
sections.add(new Section(0, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), p, null));
Enrollment e = new Enrollment(cr, i, cfg, sections, assignment);
Set<SctAssignment> other = new HashSet<SctAssignment>();
other.add(new Section(1, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), p, null));
cr.setInitialAssignment(new Enrollment(cr, i, cfg, other, assignment));
w[i] = pw.getWeight(assignment, e, null, null);
dif = pw.getDifference(e);
}
System.out.println(cr + ": " + df.format(w[0]) + " " + df.format(w[1]) + " " + df.format(w[2]) + " (" + df.format(dif) + ")");
}
System.out.println("Same time sections:");
for (Request r : s.getRequests()) {
CourseRequest cr = (CourseRequest) r;
double dif = 0;
double[] w = new double[] { 0.0, 0.0, 0.0 };
for (int i = 0; i < cr.getCourses().size(); i++) {
Config cfg = new Config(0l, -1, "", cr.getCourses().get(i).getOffering());
Set<SctAssignment> sections = new HashSet<SctAssignment>();
sections.add(new Section(0, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), p, null));
Enrollment e = new Enrollment(cr, i, cfg, sections, assignment);
Set<SctAssignment> other = new HashSet<SctAssignment>();
other.add(new Section(1, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), p, null, new Instructor(1, null, "Josef Novak", null)));
cr.setInitialAssignment(new Enrollment(cr, i, cfg, other, assignment));
w[i] = pw.getWeight(assignment, e, null, null);
dif = pw.getDifference(e);
}
System.out.println(cr + ": " + df.format(w[0]) + " " + df.format(w[1]) + " " + df.format(w[2]) + " (" + df.format(dif) + ")");
}
System.out.println("Same configuration sections:");
for (Request r : s.getRequests()) {
CourseRequest cr = (CourseRequest) r;
double[] w = new double[] { 0.0, 0.0, 0.0 };
double dif = 0;
for (int i = 0; i < cr.getCourses().size(); i++) {
Config cfg = new Config(0l, -1, "", cr.getCourses().get(i).getOffering());
Set<SctAssignment> sections = new HashSet<SctAssignment>();
sections.add(new Section(0, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), p, null));
Enrollment e = new Enrollment(cr, i, cfg, sections, assignment);
cr.getSelectedChoices().add(new Choice(cfg));
cr.setInitialAssignment(null);
w[i] = pw.getWeight(assignment, e, null, null);
dif = pw.getDifference(e);
}
System.out.println(cr + ": " + df.format(w[0]) + " " + df.format(w[1]) + " " + df.format(w[2]) + " (" + df.format(dif) + ")");
}
System.out.println("Different time sections:");
Placement q = new Placement(null, new TimeLocation(1, 102, 12, 0, 0, null, null, new BitSet(), 10), new ArrayList<RoomLocation>());
for (Request r : s.getRequests()) {
CourseRequest cr = (CourseRequest) r;
double[] w = new double[] { 0.0, 0.0, 0.0 };
double dif = 0;
for (int i = 0; i < cr.getCourses().size(); i++) {
Config cfg = new Config(0l, -1, "", cr.getCourses().get(i).getOffering());
Set<SctAssignment> sections = new HashSet<SctAssignment>();
sections.add(new Section(0, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), p, null));
Enrollment e = new Enrollment(cr, i, cfg, sections, assignment);
Set<SctAssignment> other = new HashSet<SctAssignment>();
other.add(new Section(1, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), q, null));
cr.setInitialAssignment(new Enrollment(cr, i, cfg, other, assignment));
w[i] = pw.getWeight(assignment, e, null, null);
dif = pw.getDifference(e);
}
System.out.println(cr + ": " + df.format(w[0]) + " " + df.format(w[1]) + " " + df.format(w[2]) + " (" + df.format(dif) + ")");
}
System.out.println("Two sections, one same choice, one same time:");
for (Request r : s.getRequests()) {
CourseRequest cr = (CourseRequest) r;
double[] w = new double[] { 0.0, 0.0, 0.0 };
double dif = 0;
for (int i = 0; i < cr.getCourses().size(); i++) {
Config cfg = new Config(0l, -1, "", cr.getCourses().get(i).getOffering());
Set<SctAssignment> sections = new HashSet<SctAssignment>();
sections.add(new Section(0, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), p, null));
sections.add(new Section(1, 1, "y", new Subpart(1, "Rec", "Rec", cfg, null), p, null));
Enrollment e = new Enrollment(cr, i, cfg, sections, assignment);
Set<SctAssignment> other = new HashSet<SctAssignment>();
other.add(new Section(2, 1, "x", new Subpart(0, "Lec", "Lec", cfg, null), p, null));
other.add(new Section(3, 1, "y", new Subpart(1, "Rec", "Rec", cfg, null), p, null, new Instructor(1, null, "Josef Novak", null)));
cr.setInitialAssignment(new Enrollment(cr, i, cfg, other, assignment));
w[i] = pw.getWeight(assignment, e, null, null);
dif = pw.getDifference(e);
}
System.out.println(cr + ": " + df.format(w[0]) + " " + df.format(w[1]) + " " + df.format(w[2]) + " (" + df.format(dif) + ")");
}
}
use of org.cpsolver.studentsct.model.Student in project cpsolver by UniTime.
the class SwapStudentSelection method selectNeighbour.
/**
* For each student that does not have a complete schedule, try to find a
* request and a student that can be moved out of an enrollment so that the
* selected student can be assigned to the selected request.
*/
@Override
public Neighbour<Request, Enrollment> selectNeighbour(Solution<Request, Enrollment> solution) {
Student student = null;
while ((student = nextStudent()) != null) {
Progress.getInstance(solution.getModel()).incProgress();
if (student.isComplete(solution.getAssignment()) || student.nrAssignedRequests(solution.getAssignment()) == 0)
continue;
Selection selection = getSelection(solution.getAssignment(), student);
Neighbour<Request, Enrollment> neighbour = selection.select();
if (neighbour != null) {
addStudent(student);
return neighbour;
} else
iProblemStudents.addAll(selection.getProblemStudents());
}
return null;
}
use of org.cpsolver.studentsct.model.Student in project cpsolver by UniTime.
the class TwoPhaseStudentSctNeighbourSelection method removeDummyStudents.
private boolean removeDummyStudents(Solution<Request, Enrollment> solution) {
StudentSectioningModel model = (StudentSectioningModel) solution.getModel();
if (model.getNrLastLikeStudents(false) == 0 || model.getNrRealStudents(false) == 0)
return false;
iDummyStudents = new ArrayList<Student>();
for (Student student : new ArrayList<Student>(model.getStudents())) {
if (student.isDummy()) {
iDummyStudents.add(student);
model.removeStudent(student);
}
}
return true;
}
use of org.cpsolver.studentsct.model.Student in project cpsolver by UniTime.
the class TwoPhaseStudentSctNeighbourSelection method addDummyStudents.
private boolean addDummyStudents(Solution<Request, Enrollment> solution) {
if (iDummyStudents == null || iDummyStudents.isEmpty())
return false;
iNrRounds--;
if (iNrRounds > 0)
return false;
solution.restoreBest();
StudentSectioningModel model = (StudentSectioningModel) solution.getModel();
for (Student student : iDummyStudents) {
model.addStudent(student);
}
iDummyStudents = null;
solution.saveBest();
return true;
}
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