def test_dashboard_3(self, temp_dir, browser):
data = DataBuilder().get_default_data()
data.date = "2017-03-31"
data.transits = ["95307"]
dashboard = DashBoardPage(browser).open()
take_screenshot(browser, "dashboard")
dashboard.clear()
dashboard.set_date(data.date)
for transit in data.transits:
dashboard.select_transit(transit)
dashboard.search()
dashboard.download_csv_1()
actual_file = path.realpath(path.join(temp_dir, "export.csv"))
wait_until_file_exists(actual_file)
data = "sfsdfsdf\ndfsdsdf\nsdfsdfsdfs\n"
self.reporter = GenericDiffReporterFactory().get_first_working()
verify(data)
def test_reducer_on_map_output_with_single_input_line(self):
map_output = open(
'test/BuildTrainingSetTest.test_map_with_single_input_line.approved.txt'
).read().split('\n')
actual_output = self.run_reduce_job_on_robust(map_output)
verify(actual_output)
def test_reducer_on_map_output_with_multiple_input_lines_for_ms_marco(
self):
map_output = open('test/BuildTrainingSetTest.test_map_with_multiple_input_lines_for_ms_marco.approved.txt')\
.read().split('\n')
actual_output = self.run_reduce_job_on_ms_marco(map_output)
verify(actual_output)
def test_valtonenornhag_arxiv_2020b_frHfr(self):
p1 = np.array([
[-1.146281331283839, 1.050109134098990, 1.065996624259908],
[-0.879951300627967, 0.620743795713172, 0.541580087112080],
])
p2 = np.array([
[0.663628650450811, 1.333268512835822, 1.318951998842419],
[1.241359691717976, 0.068745345721370, 0.016786262835316],
])
R1 = np.array([
[-0.320761154096478, 0.935110133718446, 0.150603186685294],
[-0.808554515336552, -0.353152142517100, 0.470662469254195],
[0.493307082608358, 0.029199350209406, 0.869365009760445],
])
R2 = np.array([
[0.420952545706761, -0.744893719609945, -0.517621773835547],
[0.652124812245433, -0.148125936460580, 0.743499788972085],
[-0.630501533318403, -0.650532130976893, 0.423409687005158],
])
sols = homlib.get_valtonenornhag_arxiv_2020b_frHfr(
np.asfortranarray(p1), np.asfortranarray(p2),
np.asfortranarray(R1), np.asfortranarray(R2))
np.testing.assert_almost_equal(sols['lam'], -0.45054159850239145,
self.tol)
np.testing.assert_almost_equal(sols['f'], 5.756798219531202, self.tol)
verify(verify_numpy_array(sols['H']))
def test_fitzgibbon_cvpr_2001_results(self):
"""Check the expected result."""
sols = homlib.get_fitzgibbon_cvpr_2001(np.asfortranarray(self.p1),
np.asfortranarray(self.p2))
np.testing.assert_almost_equal(sols['lam'], -0.6554778901775142,
self.tol)
verify(verify_numpy_array(sols['H']))
def verify_all_combinations_with_namer(
function_under_test: Callable,
input_arguments: Sequence[Sequence[Any]],
formatter: Optional[Callable] = None,
reporter: Optional[Reporter] = None,
*, # enforce keyword arguments - https://www.python.org/dev/peps/pep-3102/
options: Optional[Options] = None
) -> None:
"""Run func with all possible combinations of args and verify outputs against the recorded approval file.
Args:
function_under_test (function): function under test.
input_arguments: list of values to test for each input argument. For example, a function f(product, quantity)
could be tested with the input_arguments [['water', 'cola'], [1, 4]], which would result in outputs for the
following calls being recorded and verified: f('water', 1), f('water', 4), f('cola', 1), f('cola', 4).
namer (approvaltests.Namer): A namer that defines the name of received and approved files.
formatter (function): function for formatting the function inputs/outputs before they are recorded to an
approval file for comparison.
reporter (approvaltests.reporter.Reporter): an approval reporter.
Raises:
ApprovalException: if the results to not match the approved results.
"""
text = print_combinations(formatter, function_under_test, input_arguments)
options = initialize_options(options, reporter)
verify(text, options=options)
def test_slash_red_win(log):
game = GameState()
player_moves = [
ColumnWasClicked(c) for c in [0, 1, 1, 2, 2, 3, 2, 3, 3, 5, 3]
]
result = simulate_main_event_loop(game, player_moves, log)
verify(print_scenario(player_moves, result, log))
def test_valid_inputs(self):
duration = 3
weekly_interest_rate = Decimal('0.05')
principal = Decimal('1000.00')
repayment = get_weekly_repayment_amount(principal, weekly_interest_rate, duration)
reporter = GenericDiffReporterFactory().get('meld')
verify(str(repayment), reporter=reporter)
def test_simple(self):
verify(
"Hello",
options=Options().with_reporter(
GenericDiffReporter.create(
r"C:\my\favorite\diff\utility.exe")),
)
def test_format_table_with_sparse_columns():
"""Test table where rows have different heading names"""
class TestItem1:
def __init__(self, name, age, num_pets):
self.name = name
self.age = age
self.num_pets = num_pets
class TestItem2:
def __init__(self, name, age, num_computers):
self.name = name
self.age = age
self.num_computers = num_computers
# Arrange
items = [
TestItem1("Ann", 21, 1),
TestItem2("Bob", 45, 2),
TestItem1("Cath", 52, 4)
]
output = Output()
# Act
output.format_table(items)
# Assert
verify(output.report)
def test_supermarket_failure(tmpdir):
test_name = "a"
write_received_file(
tmpdir, test_name, """\
apples 11.94
1.99 * 6.000
5 for 5.99(apples) -3.96
----------------------------------------
Total: 7.98
""")
write_approved_file(
tmpdir, test_name, """\
apples 11.94
1.99 * 6.000
5 for 5.99(apples) -3.96
Total: 7.98""")
test_name = "b"
write_received_file(
tmpdir, test_name, """\
toothbrush 0.99
----------------------------------------
Total: 0.99
""")
write_approved_file(
tmpdir, test_name, """\
toothbrush 0.99
Total: 0.99""")
analysis = analyze(tmpdir)
verify(analysis)
def test_groups_two_tests_same_diff():
diff1 = """\
- bar
+ foo
"""
diffs = {"a": diff1, "b": diff1}
verify(str(analyze_groups(diffs, identical)))
def test_report_diffs():
diff1 = '+ foo\n'
diff2 = '- bar\n'
diffs = {
diff1: DiffGroup("All share this diff", diff1, ['a', 'b']),
diff2: DiffGroup("All share this diff", diff2, ['a', 'c'])
}
verify(report_diffs(diffs))
def test_with_imaginary_data(self):
arguments = sys.argv + ['-i', 'test/resources/input_single_topic/',
'-o', '.test-output',
'-q', 'test/resources/test.qrel']
with patch.object(sys, 'argv', arguments):
imp.load_source('__main__', './run2fv.py')
verify("".join(sorted(tuple(open('.test-output','r')))))
os.remove('.test-output')
def test_valid_inputs(self):
duration = 3
weekly_interest_rate = Decimal('0.05')
principal = Decimal('1000.00')
repayment = get_weekly_repayment_amount(principal,
weekly_interest_rate, duration)
reporter = GenericDiffReporterFactory().get('meld')
verify(str(repayment), reporter=reporter)
def test_backslash_yellow_win(log):
game = GameState()
player_moves = [
ColumnWasClicked(c)
for c in [0, 6, 5, 5, 4, 4, 3, 4, 5, 3, 0, 3, 0, 3]
]
result = simulate_main_event_loop(game, player_moves, log)
verify(print_scenario(player_moves, result, log))
def test_approve_one_file(tmpdir):
received_file = os.path.join(tmpdir, "a.received.txt")
with open(received_file, "w") as f:
f.write("foo")
approve_all(tmpdir)
all_files = os.listdir(tmpdir)
verify(str(all_files))
def test_example_statement():
with open(get_adjacent_file("invoice.json")) as f:
invoice = json.loads(f.read())
with open(get_adjacent_file("plays.json")) as f:
plays = json.loads(f.read())
statement = Statement.from_json(invoice=invoice, plays=plays)
presentation = Text(statement)
verify(str(presentation))
def test_get_kukelova_cvpr_2015_sol4(self):
sols = homlib.get_kukelova_cvpr_2015(np.asfortranarray(self.p1),
np.asfortranarray(self.p2))
np.testing.assert_almost_equal(sols[4]['lam1'], -0.6554778901775545,
self.tol)
np.testing.assert_almost_equal(sols[4]['lam2'], -0.6554778901775485,
self.tol)
verify(verify_numpy_array(sols[4]['H']))
def test_get_kukelova_cvpr_2015_sol2(self):
sols = homlib.get_kukelova_cvpr_2015(np.asfortranarray(self.p1),
np.asfortranarray(self.p2))
np.testing.assert_almost_equal(sols[2]['lam1'], -1.7814746086320201,
self.tol)
np.testing.assert_almost_equal(sols[2]['lam2'], -2.079301697963529,
self.tol)
verify(verify_numpy_array(sols[2]['H']))
def test_get_kukelova_cvpr_2015_sol3(self):
sols = homlib.get_kukelova_cvpr_2015(np.asfortranarray(self.p1),
np.asfortranarray(self.p2))
np.testing.assert_almost_equal(sols[3]['lam1'], -2.136402668559706,
self.tol)
np.testing.assert_almost_equal(sols[3]['lam2'], 0.6928831549898077,
self.tol)
verify(verify_numpy_array(sols[3]['H']))
def test_get_kukelova_cvpr_2015_sol0(self):
sols = homlib.get_kukelova_cvpr_2015(np.asfortranarray(self.p1),
np.asfortranarray(self.p2))
np.testing.assert_almost_equal(sols[0]['lam1'], 0.2537509800067458,
self.tol)
np.testing.assert_almost_equal(sols[0]['lam2'], -1.9785613160596929,
self.tol)
verify(verify_numpy_array(sols[0]['H']))
def test_get_kukelova_cvpr_2015_sol1(self):
sols = homlib.get_kukelova_cvpr_2015(np.asfortranarray(self.p1),
np.asfortranarray(self.p2))
np.testing.assert_almost_equal(sols[1]['lam1'], -1.1832137508476386,
self.tol)
np.testing.assert_almost_equal(sols[1]['lam2'], -1.8809663034629707,
self.tol)
verify(verify_numpy_array(sols[1]['H']))
def test_documents_to_remove_for_leave_one_out_with_single_topic_and_multiple_runs_reverse(
cls):
run_01 = TrecRun('test/resources/sample-run-file-01')
run_02 = TrecRun('test/resources/sample-run-file-02')
actual = identify_judgments_to_remove_for_leave_one_out(
[run_02, run_01])
verify(actual.to_csv(header=False))
def test_pycharm_diff_command():
reporter = GenericDiffReporter([
"PyCharm", '/Applications/PyCharm CE.app/Contents/MacOS/pycharm',
["diff"]
])
received_path = "received.txt"
approved_path = "approved.txt"
verify(str(reporter.get_command(received_path, approved_path)))
def test_with_reporter():
testr = ReporterForTesting()
options = Options().with_reporter(testr)
try:
verify("Data2", options=options)
except:
pass
assert testr.called
def test_sample_lift_system():
liftA = Lift("A", floor=3, requested_floors=[0])
liftB = Lift("B", floor=2)
liftC = Lift("C", floor=2, doors_open=True)
liftD = Lift("D", floor=0, requested_floors=[0])
lift_system = LiftSystem(floors=[0, 1, 2, 3],
lifts=[liftA, liftB, liftC, liftD],
calls=[Call(1, Direction.DOWN)])
verify(print_lifts(lift_system))
def test_read_pieces():
position = """\
0 1 2.
0 x .
1 o .
2 x .
"""
grid = read_grid(position)
verify(print_grid(grid))
def test_files_identical(tmpdir):
file1 = os.path.join(str(tmpdir), "a.received.txt")
file2 = os.path.join(str(tmpdir), "b.approved.txt")
identical_contents = "abc"
with open(file1, "w") as f1:
f1.write(identical_contents)
with open(file2, "w") as f2:
f2.write(identical_contents)
verify(calculate_diff(file1, file2))
def test_mix_of_files(tmpdir):
received_file = os.path.join(tmpdir, "a.received.txt")
with open(received_file, "w") as f:
f.write("foo")
approved_file = os.path.join(tmpdir, "a.approved.txt")
with open(approved_file, "w") as f:
f.write("bar")
clean_received(tmpdir)
verify(str(os.listdir(tmpdir)))
def test_two_similar_failures(tmpdir):
test_name = "a"
write_received_file(tmpdir, test_name, "foo\n")
write_approved_file(tmpdir, test_name, "bar\nbaz\n")
test_name = "b"
write_received_file(tmpdir, test_name, "foo\n")
write_approved_file(tmpdir, test_name, "bar\n")
analysis = analyze(tmpdir)
verify(analysis)
