def test_example_input(self):
chart = SeatingChart(3, 11)
chart.initialize([(1, 4), (1, 6), (2, 3), (2, 7), (3, 9), (3, 10)])
chart._find_seats(3)
chart._find_seats(3)
chart._find_seats(3)
chart._find_seats(1)
chart._find_seats(10)
expected = {
300002: 1,
400001: 1,
400002: 1,
500001: 1,
500002: 1,
500003: 1,
600001: 1,
600002: 1,
600003: 1,
700001: 1,
700002: 1,
700003: 1,
800001: 1,
900001: 1,
900003: 1,
1000003: 1
}
actual = chart._reserved_seats
assert expected == actual
def test_adjacency_layers(self):
"""
Ensures that the adjacency layers function is working correctly.
"""
seats = SeatingChart('data/test-seats-complex.csv')
self.assertEqual(
[{'*****@*****.**', '*****@*****.**'},
set(), set()],
list(
seats.adjacency_layers('*****@*****.**', 3,
AdjacencyType.sideways_only)))
def test_adjacency(self):
"""
Test of adjacency, from sample seating chart.
"""
seats = SeatingChart('data/test-seats-complex.csv')
self.assertEqual({"*****@*****.**", "*****@*****.**"},
set(
seats.adjacent_to("*****@*****.**",
AdjacencyType.all_ways)))
self.assertEqual(
{"*****@*****.**", "*****@*****.**", "*****@*****.**"},
set(seats.adjacent_to("*****@*****.**", AdjacencyType.all_ways)))
self.assertEqual(
set(),
set(seats.adjacent_to("*****@*****.**", AdjacencyType.all_ways)),
"Nothing adjacent to something in a different room")
def test_create_new_seating_chart(self):
chart = SeatingChart(10, 11)
assert isinstance(chart, SeatingChart)
assert chart._rows == 10
assert chart._cols == 11
assert chart._reserved_seats == {}
assert chart.sold_out == False
assert chart.number_reserved == 0
assert chart.number_available == 10 * 11
def main(arg):
"""
The profiling test
"""
evals = proc_evaluations('%s/real-data/Midterm_1_evaluations.zip' % DATA_DIR)
seats = SeatingChart('%s/real-data/mt1_seats.csv' % DATA_DIR)
if arg == "--plausible-params":
profile_plausible_params(evals, seats)
else:
raise RuntimeError("Argument %s not recognized" % arg)
def load_all():
"""
Return evaluations, seats, and zero_meaned evaluations from each of the results.
"""
evals = OrderedDict()
seats = OrderedDict()
zero_meaneds = OrderedDict()
zero_meaned_no_correction = OrderedDict()
for exam in "mt1", "mt2", "final":
evals[exam] = proc_evaluations('%s/real-data/%s_evaluations.zip' %
(DATA_DIR, exam))
seats[exam] = SeatingChart('%s/real-data/%s_seats.csv' %
(DATA_DIR, exam))
zero_meaneds[exam] = compensate_for_grader_means(evals[exam])
zero_meaned_no_correction[exam] = compensate_for_grader_means(
evals[exam], z_thresh=float('inf'))
return evals, seats, zero_meaneds, zero_meaned_no_correction
def test_column_normalization(self):
"""
Makes sure that column normalization is carried out on a per-room basis.
"""
seats = SeatingChart('data/test-seats-multiroom.csv')
self.assertEqual({"*****@*****.**", "*****@*****.**"},
set(
seats.adjacent_to("*****@*****.**",
AdjacencyType.all_ways)))
self.assertEqual(
{"*****@*****.**", "*****@*****.**", "*****@*****.**"},
set(seats.adjacent_to("*****@*****.**", AdjacencyType.all_ways)))
self.assertEqual({"*****@*****.**", "*****@*****.**"},
set(
seats.adjacent_to("*****@*****.**",
AdjacencyType.all_ways)))
# pylint: disable=W0212
self.assertEqual(0.5,
seats._location("*****@*****.**").column.location)
def test_find_best_five_seats_in_second_row(self):
chart = SeatingChart(5, 10)
chart.initialize([(1, 1), (1, 2), (1, 3), (1, 4), (1, 5), (1, 6),
(1, 7), (1, 8), (1, 9), (1, 10)])
chart._find_seats(5)
expected = {
400001: 1,
200001: 1,
100001: 1,
900001: 1,
700001: 1,
600001: 1,
500001: 1,
300001: 1,
1000001: 1,
800001: 1,
300002: 1,
400002: 1,
500002: 1,
600002: 1,
700002: 1
}
actual = chart._reserved_seats
assert expected == actual
def test_find_best_four_seats_in_empty_row_of_odd_columns(self):
chart = SeatingChart(1, 9)
chart._find_seats(4)
expected = {300001: 1, 400001: 1, 500001: 1, 600001: 1}
actual = chart._reserved_seats
assert expected == actual
Tests for various modules.
"""
from unittest import TestCase, main
from numpy.testing import assert_almost_equal as aae
from seating_chart import SeatingChart, Location, AdjacencyType
from constants import DATA_DIR
from evaluations import proc_evaluations
from analytics import compensate_for_grader_means, all_pairs, ExamPair, _unusualness
from graded_exam import ExamQuestion
from graphics import NoProgressBar
EVALS_SAMPLE = proc_evaluations('data/test-evals.zip')
EVALS_SIMPLE_SAMPLE = proc_evaluations('data/test-simple-evals.zip')
SEATS_SAMPLE = SeatingChart('data/test-seats.csv')
SEATS_SIMPLE_SAMPLE = SeatingChart('data/test-seats-simple.csv')
class TestAnalytics(TestCase):
"""
Test suite for analytics.py.
"""
@staticmethod
def test_compensate_for_grader_means(): # pylint: disable=C0103
"""
Tests the compensate_for_grader_means function (only the compensation, not the filtering)
by running it on a sample and testing two individuals to check that they were adjusted
appropriately.
"""
compensated = compensate_for_grader_means(EVALS_SAMPLE, 1000)
def test_reserving_a_seat_twice(self):
chart = SeatingChart(5, 5)
chart.reserve((2, 8))
expected = None
actual = chart.reserve((2, 8))
assert actual == expected
def test_group_bigger_than_a_row(self):
chart = SeatingChart(10, 6)
expected = None
actual = chart._find_seats(7)
assert actual == expected
def test_get_taxi_even_cols(self):
chart = SeatingChart(5, 10)
left = chart._get_taxi((4, 9))
right = chart._get_taxi((4, 2))
assert left == right
def test_reserving_a_seat_once(self):
chart = SeatingChart(5, 5)
expected = [(2, 5)]
actual = chart.reserve((2, 5))
assert actual == expected
def test_cant_change_hash_formula_by_accident(self):
chart = SeatingChart(10, 11)
assert chart._get_key(12, 23) == 2300012
def test_no_space_left_for_group(self):
chart = SeatingChart(2, 6)
chart.initialize([(1, 1), (1, 3), (1, 5), (2, 2), (2, 4), (2, 6)])
expected = None
actual = chart._find_seats(2)
assert actual == expected
def test_unreserved_seat_is_marked_unreserved(self):
chart = SeatingChart(5, 5)
expected = False
actual = chart.reserved((1, 3))
assert actual == expected
def test_initializing_with_out_of_bound_values(self):
chart = SeatingChart(5, 5)
with pytest.raises(KeyError):
chart.initialize([(1, 2), (1, 7)])
class TestSeatingChart(TestCase):
"""
Tests seating charts
"""
chart = SeatingChart('{}/real-data/mt1_seats.csv'.format(DATA_DIR))
def test_exist_emails(self):
"""
Test that the emails all exist and are strings.
"""
for email in self.chart.emails:
self.assertEqual(type(email), str)
def test_adjacency_consistency(self):
"""
Test to make sure that X is right of Y <--> Y is left of X
"""
for email in self.chart.emails:
for adj_email in self.chart.sideways_items(email):
adj_adj_email = self.chart.sideways_items(adj_email)
self.assertTrue(email in adj_adj_email, str(
(email, adj_email)))
def test_adjacency(self):
"""
Test of adjacency, from sample seating chart.
"""
seats = SeatingChart('data/test-seats-complex.csv')
self.assertEqual({"*****@*****.**", "*****@*****.**"},
set(
seats.adjacent_to("*****@*****.**",
AdjacencyType.all_ways)))
self.assertEqual(
{"*****@*****.**", "*****@*****.**", "*****@*****.**"},
set(seats.adjacent_to("*****@*****.**", AdjacencyType.all_ways)))
self.assertEqual(
set(),
set(seats.adjacent_to("*****@*****.**", AdjacencyType.all_ways)),
"Nothing adjacent to something in a different room")
def test_column_normalization(self):
"""
Makes sure that column normalization is carried out on a per-room basis.
"""
seats = SeatingChart('data/test-seats-multiroom.csv')
self.assertEqual({"*****@*****.**", "*****@*****.**"},
set(
seats.adjacent_to("*****@*****.**",
AdjacencyType.all_ways)))
self.assertEqual(
{"*****@*****.**", "*****@*****.**", "*****@*****.**"},
set(seats.adjacent_to("*****@*****.**", AdjacencyType.all_ways)))
self.assertEqual({"*****@*****.**", "*****@*****.**"},
set(
seats.adjacent_to("*****@*****.**",
AdjacencyType.all_ways)))
# pylint: disable=W0212
self.assertEqual(0.5,
seats._location("*****@*****.**").column.location)
def test_adjacency_layers(self):
"""
Ensures that the adjacency layers function is working correctly.
"""
seats = SeatingChart('data/test-seats-complex.csv')
self.assertEqual(
[{'*****@*****.**', '*****@*****.**'},
set(), set()],
list(
seats.adjacency_layers('*****@*****.**', 3,
AdjacencyType.sideways_only)))
def test_reserve_takes_only_strs_or_ints(self):
chart = SeatingChart(5, 5)
with pytest.raises(ValueError):
chart.reserve(4.5)
def one_way_vs_two_way_summary_correlation(grades, seats):
"""
Produces differences in the correlations between one-apart and two-apart individuals.
"""
return one_way_vs_two_way_summary(
grades,
seats,
gambler_fallacy_allowable_limit=GAMBLER_FALLACY_ALLOWABLE_LIMIT,
similarity_fn=lambda x, y: x.correlation(y))
GAMBLER_FALLACY_ALLOWABLE_LIMIT = 1
EVALS = proc_evaluations('%s/real-data/mt1_evaluations.zip' % DATA_DIR)
SEATS = SeatingChart('%s/real-data/mt1_seats.csv' % DATA_DIR)
MODEL = binary_cheater(RandomSeatingModel, (), AdjacencyType.sideways_only)
TRUE_VALUE = one_way_vs_two_way_summary_correlation(EVALS, SEATS)
PARAMS = list((cheaters, ratio)
for cheaters, ratio in MODEL.parameters(GRANULARITY)
if cheaters < 0.3)
def proc_param(param):
"""
Process the given parameter
"""
result = model_on_params(EVALS,
def test_find_best_five_seats_in_empty_row_of_even_columns(self):
chart = SeatingChart(1, 10)
chart._find_seats(5)
expected = {300001: 1, 400001: 1, 500001: 1, 600001: 1, 700001: 1}
actual = chart._reserved_seats
assert expected == actual
def test_get_taxi_odd_cols(self):
chart = SeatingChart(5, 9)
left = chart._get_taxi((4, 8))
right = chart._get_taxi((4, 2))
assert left == right
def test_reserved_seat_is_marked_reserved(self):
chart = SeatingChart(5, 5)
chart.reserve((1, 3))
expected = True
actual = chart.reserved((1, 3))
assert actual == expected
def test_row_not_wide_enough(self):
chart = SeatingChart(5, 5)
expected = None
actual = driver.additional_reservation(chart, "10")
assert actual == expected
