def test_system2(self):
# Test building correct schedule
t1 = time.time()
data = [Lesson(time=1, lecture_name=(1, TUTORIAL), group=3, day=2, auditorium=1, faculty=3),
Lesson(time=1, lecture_name=(1, LAB), group=3, day=2, auditorium=1, faculty=2),
Lesson(time=1, lecture_name=(1, LECTURE), group=3, day=2, auditorium=1, faculty=1),
Lesson(time=1, lecture_name=(4, TUTORIAL), group=3, day=2, auditorium=1, faculty=3),
Lesson(time=1, lecture_name=(4, LAB), group=3, day=2, auditorium=1, faculty=2),
Lesson(time=1, lecture_name=(4, LECTURE), group=3, day=2, auditorium=1, faculty=1),
Lesson(time=1, lecture_name=(2, TUTORIAL), group=2, day=2, auditorium=1, faculty=3),
Lesson(time=1, lecture_name=(2, LAB), group=2, day=2, auditorium=1, faculty=2),
Lesson(time=1, lecture_name=(2, LECTURE), group=2, day=2, auditorium=1, faculty=1),
Lesson(time=1, lecture_name=(3, TUTORIAL), group=1, day=2, auditorium=1, faculty=4),
Lesson(time=1, lecture_name=(3, LECTURE), group=1, day=2, auditorium=1, faculty=1),
Lesson(time=1, lecture_name=(3, LAB), group=1, day=2, auditorium=1, faculty=4),
]
uniconf = {"auditorium_size": [30, 30, 30, 30, 30, 30],
"group_size": [10, 20, 15, 20],
"number_of_auditoriums": 5,
"number_of_timeslots": 5,
"number_of_days": 2,
}
set_uniconf(uniconf)
pop = GeneticSchedule.create_initial(lessons=data)
best = GeneticSchedule.run(pop, uniconf)
self.assertEqual(best.fitness, 0)
self.assert_no_intersections(best)
def test_benchmark(self):
print(len(test_data2['lessons']))
test_data2['lessons'] = test_data2['lessons'][::2]
print(len(test_data2['lessons']))
init, uniconf = GeneticSchedule.get_initial_population(test_data2)
t1 = time.time()
sch = DataProcessor.denumerate_data(GeneticSchedule.run(init, uniconf))
print('Running time:', time.time() - t1)
def test_dict_import2(self):
# Check import from dictionary
pop, uniconf = GeneticSchedule.get_initial_population({
"lessons": [["DSA", "Lecture", "BS17", "Adil"], ["DML", "Lecture", "BS17", "Nikolay"]],
"days": [["Monday"], ["Tuesday"], ["Wednesday"]],
"time_slots": [["09:00-10:30"], ["10:35-12:05"], ["12:10-13:40"], ["14:10-15:40"]],
"auditoriums": [["101", "20"], ["102", "20"], ["103", "20"], ["104", "20"], ["105", "150"], ["106", "100"]],
"student_groups": [["BS18", "150"], ["BS17", "150"], ["B16", "60"], ["B16-DS", "25"]]
}
)
sch = GeneticSchedule.run(pop, uniconf)
self.assert_no_intersections(sch)
def test_denumerate_schedule(self):
# Test that data denumeration do not crash
pop, uni_conf = GeneticSchedule.get_initial_population(data={
"lessons": [["DSA", "Lecture", "BS17", "Adil"], ["DML", "Lecture", "BS17", "Nikolay"]],
"days": [["Monday"], ["Tuesday"], ["Wednesday"]],
"time_slots": [["09:00-10:30"], ["10:35-12:05"], ["12:10-13:40"], ["14:10-15:40"]],
"auditoriums": [["101", "20"], ["102", "20"], ["103", "20"], ["104", "20"], ["105", "150"], ["106", "100"]],
"student_groups": [["BS18", "150"], ["BS17", "150"], ["B16", "60"], ["B16-DS", "25"]]
}
)
best = GeneticSchedule.run(pop, uni_conf)
schedule = DataProcessor.denumerate_data(best)
self.assertEqual(len(best), len(schedule))
def test_initial_population1(self):
# Test that created population has given size
set_run_info(size_of_population=10, exchange_format=ExchangeFormat.CSV)
population, uni_conf = GeneticSchedule.get_initial_population()
self.assertEqual(10, len(population))