def test_matchRoomAllocation(self):
path = u"data/TabuSearchDataTests/matchingRooms"
self.t.readLecturesToTimetable(path)
slot = 0
coursesId = [
'c0001', 'c0002', 'c0004', 'c0030', 'c0005', 'c0014', 'c0015',
'c0016'
]
self.t.timeTable[slot] = tabuSearch.matchingRoomAllocations(
self.t.getTimeTable(), slot, self.data, self.sortedRoomIdList)
listOfAssignedRooms = [x[1] for x in self.t.timeTable[slot]]
self.assertEqual(listOfAssignedRooms, ['B', 'S', 'C', 'G', 'F'])
penalty = softConstraints2.softConstraintsPenalty(
self.t.getTimeTable(), self.data)['penaltyRoomCapacity']
self.assertEqual(penalty, 340)
slot = 1
self.t.timeTable[slot] = tabuSearch.matchingRoomAllocations(
self.t.getTimeTable(), slot, self.data, self.sortedRoomIdList)
listOfAssignedRooms = [x[1] for x in self.t.timeTable[slot]]
self.assertEqual(listOfAssignedRooms, ['G', 'S', 'E', 'B', 'C', 'F'])
penalty = softConstraints2.softConstraintsPenalty(
self.t.getTimeTable(), self.data)['penaltyRoomCapacity']
self.assertEqual(penalty, 305)
def testSoftConstraintsMinimumWorkingDays(self):
assignedList = [(0, 'c0001', 'E'), (1, 'c0001', 'B'), (2, 'c0001', 'B'), (3, 'c0001', 'B'), (0, 'c0004', 'B'), (1, 'c0004', 'B'), (2, 'c0004', 'B')]
self.t.addDataToTimetable(assignedList)
penalty = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data)['penaltyMinWorkingDays']
self.assertEqual(penalty, 520)
assignedList = [(3, 'c0004', 'B'), (4, 'c0004', 'B'), (5, 'c0004', 'B')]
self.t.addDataToTimetable(assignedList)
penalty = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data)['penaltyMinWorkingDays']
self.assertEqual(penalty, 520)
assignedList = [(12, 'c0004', 'B'), (4, 'c0001', 'B'), (5, 'c0001', 'B')]
self.t.addDataToTimetable(assignedList)
penalty = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data)['penaltyMinWorkingDays']
self.assertEqual(penalty, 515)
def testSoftConstraintsRoomStability22(self):
assignedList = [(0, 'c0001', 'E'), (1, 'c0001', 'B'), (2, 'c0001', 'C'), (3, 'c0001', 'G'), (0, 'c0004', 'B'), (1, 'c0004', 'B'), (2, 'c0004', 'B')]
self.t.addDataToTimetable(assignedList)
result = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data, "perturbation")
penaltyRoomStability = result['penaltyRoomStability']
self.assertEqual(penaltyRoomStability, 3)
self.assertEqual(len(result['perturbationPenalty']), len((assignedList)))
def test_matchRoomAllocation(self):
path = u"data/TabuSearchDataTests/matchingRooms"
self.t.readLecturesToTimetable(path)
slot = 0
coursesId = ['c0001', 'c0002', 'c0004', 'c0030', 'c0005', 'c0014', 'c0015', 'c0016']
self.t.timeTable[slot] = tabuSearch.matchingRoomAllocations(self.t.getTimeTable(), slot, self.data, self.sortedRoomIdList)
listOfAssignedRooms = [x[1] for x in self.t.timeTable[slot]]
self.assertEqual(listOfAssignedRooms, ['B', 'S', 'C', 'G', 'F'])
penalty = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data)['penaltyRoomCapacity']
self.assertEqual(penalty, 340)
slot = 1
self.t.timeTable[slot] = tabuSearch.matchingRoomAllocations(self.t.getTimeTable(), slot, self.data, self.sortedRoomIdList)
listOfAssignedRooms = [x[1] for x in self.t.timeTable[slot]]
self.assertEqual(listOfAssignedRooms, ['G', 'S', 'E', 'B', 'C', 'F'])
penalty = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data)['penaltyRoomCapacity']
self.assertEqual(penalty, 305)
def rankingOfLectures(partialTimetable, data, n, q):
"""
Function to identify a set of the first q highly-penalized lectures and select n lectures from them,
the lecture of rank k is selected with probability distribution, n <= q
:param partialTimetable: timetable
:param data: information about data
:param n: number of selected lectures from first q highly penalized ones
:param q:
"""
# dictionary containing soft penalties for each of lecture assigned to timetable (courseId, roomId, slot) : penalty
perturbationDict = softConstraintsPenalty(
partialTimetable, data, "perturbation")['perturbationPenalty']
#perturbation penalty in form courseId, roomId, slot
rankingLectures = sorted(perturbationDict.items(),
key=itemgetter(1),
reverse=True)
listItems = map(lambda x: x[0], rankingLectures[:q])
selectedLectures = selectRandom(listItems, n)
return selectedLectures
def testTotalSoftConstraintsPenalty2(self):
expectedResult = reduce(lambda x, y: x + y, map(lambda z: z.minWorkingDays, self.data.getAllCourses())) * 5
penalty = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data)['penaltyMinWorkingDays']
self.assertEqual(penalty, expectedResult)
path = u"data/TabuSearchDataTests/softConstraintsLectures"
self.t.readLecturesToTimetable(path)
penalty = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data)['penaltyRoomStability']
self.assertEqual(penalty, 4)
penalty = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data)['penaltyRoomCapacity']
self.assertEqual(penalty, 440)
penalty = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data)['penaltyMinWorkingDays']
self.assertEqual(penalty, 490)
penalty = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data)['penaltyCurriculumCompactness']
self.assertEqual(penalty, 24)
penalty = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data)['totalPenalty']
self.assertEqual(penalty, 958)
def testSoftConstraintsPerturbation(self):
assignedList = [(0, 'c0001', 'E'), (1, 'c0001', 'B'), (4, 'c0001', 'C'), (7, 'c0002', 'G'), (9, 'c0072', 'E')]
self.t.addDataToTimetable(assignedList)
result = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data, "perturbation")
self.assertEqual(sum(map(lambda x: result['perturbationPenalty'][x], result['perturbationPenalty'])), 896)
def testTotalSoftConstrainsPenalty(self):
assignedList = [(0, 'c0001', 'E'), (1, 'c0001', 'B'), (4, 'c0001', 'C'), (7, 'c0002', 'G'), (9, 'c0072', 'E')]
self.t.addDataToTimetable(assignedList)
penalty = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data)['penaltyCurriculumCompactness']
self.assertEqual(penalty, 10)
def testSoftConstraintsRoomStability(self):
assignedList = [(0, 'c0001', 'E'), (1, 'c0001', 'B'), (2, 'c0001', 'C'), (3, 'c0001', 'G'), (0, 'c0004', 'B'), (1, 'c0004', 'B'), (2, 'c0004', 'B')]
self.t.addDataToTimetable(assignedList)
penalty = softConstraints2.softConstraintsPenalty(self.t.getTimeTable(), self.data)['penaltyRoomStability']
self.assertEqual(penalty, 3)
