class KascadeLdfSimulationTest(unittest.TestCase):
def setUp(self):
cluster = Mock()
data = MagicMock()
output = "/simulations"
R = sentinel.R
N = MagicMock()
self.simulation = KascadeLdfSimulation(cluster, data, output, R, N)
# make progressbar(list) do nothing (i.e., return list)
self.progressbar_patcher = patch("progressbar.ProgressBar")
self.progressbar_mock = self.progressbar_patcher.start()
self.progressbar_mock.return_value.side_effect = lambda x: x
def test_init_calls_super_init_with_all_args(self):
with patch.object(BaseLdfSimulation, "__init__") as mock_base_init:
cluster = sentinel.cluster
data = sentinel.data
output = sentinel.output
R = sentinel.R
N = sentinel.N
sim = KascadeLdfSimulation(cluster, data, output, R, N=N)
mock_base_init.assert_called_once_with(cluster, data, output, R, N=N)
def test_calculate_ldf_value_useful_immediately_after_init(self):
self.simulation.calculate_ldf_value(1.0, 10 ** 4.8)
def test_run_calls_super_run(self):
with patch.object(BaseLdfSimulation, "run") as mock_run:
self.simulation.run()
mock_run.assert_called_once_with()
def test_calculate_ldf_value(self):
r = logspace(1, 3, 10)
expected = array(
[
1.39434005e01,
7.49964318e00,
3.49327708e00,
1.37707188e00,
4.57377254e-01,
1.30067636e-01,
3.26255672e-02,
7.46150200e-03,
1.60164385e-03,
3.29852843e-04,
]
)
actual = self.simulation.calculate_ldf_value(r, 10 ** 4.8)
self.assertTrue(((expected - actual) / expected < 1e-8).all())
def setUp(self):
cluster = Mock()
data = MagicMock()
output = '/simulations'
R = sentinel.R
N = MagicMock()
self.simulation = KascadeLdfSimulation(cluster, data, output, R, N)
# make progressbar(list) do nothing (i.e., return list)
self.progressbar_patcher = patch('progressbar.ProgressBar')
self.progressbar_mock = self.progressbar_patcher.start()
self.progressbar_mock.return_value.side_effect = lambda x: x
def test_init_calls_super_init_with_all_args(self):
with patch.object(BaseLdfSimulation, '__init__') as mock_base_init:
cluster = sentinel.cluster
data = sentinel.data
output = sentinel.output
R = sentinel.R
N = sentinel.N
sim = KascadeLdfSimulation(cluster, data, output, R, N=N)
mock_base_init.assert_called_once_with(cluster, data, output, R, N=N)
class KascadeLdfSimulationTest(unittest.TestCase):
def setUp(self):
cluster = Mock()
data = MagicMock()
output = '/simulations'
R = sentinel.R
N = MagicMock()
self.simulation = KascadeLdfSimulation(cluster, data, output, R, N)
# make progressbar(list) do nothing (i.e., return list)
self.progressbar_patcher = patch('progressbar.ProgressBar')
self.progressbar_mock = self.progressbar_patcher.start()
self.progressbar_mock.return_value.side_effect = lambda x: x
def test_init_calls_super_init_with_all_args(self):
with patch.object(BaseLdfSimulation, '__init__') as mock_base_init:
cluster = sentinel.cluster
data = sentinel.data
output = sentinel.output
R = sentinel.R
N = sentinel.N
sim = KascadeLdfSimulation(cluster, data, output, R, N=N)
mock_base_init.assert_called_once_with(cluster, data, output, R, N=N)
def test_calculate_ldf_value_useful_immediately_after_init(self):
self.simulation.calculate_ldf_value(1., 10 ** 4.8)
def test_run_calls_super_run(self):
with patch.object(BaseLdfSimulation, 'run') as mock_run:
self.simulation.run()
mock_run.assert_called_once_with()
def test_calculate_ldf_value(self):
r = logspace(1, 3, 10)
expected = array([ 1.39434005e+01, 7.49964318e+00, 3.49327708e+00,
1.37707188e+00, 4.57377254e-01, 1.30067636e-01,
3.26255672e-02, 7.46150200e-03, 1.60164385e-03,
3.29852843e-04])
actual = self.simulation.calculate_ldf_value(r, 10 ** 4.8)
self.assertTrue(((expected - actual) / expected < 1e-8).all())
def setUp(self):
cluster = Mock()
data = MagicMock()
output = "/simulations"
R = sentinel.R
N = MagicMock()
self.simulation = KascadeLdfSimulation(cluster, data, output, R, N)
# make progressbar(list) do nothing (i.e., return list)
self.progressbar_patcher = patch("progressbar.ProgressBar")
self.progressbar_mock = self.progressbar_patcher.start()
self.progressbar_mock.return_value.side_effect = lambda x: x
