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Adding a test to that a finer mesh has no impact in itself

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This commit is contained in:
Nicolas Mounet 2020-11-09 12:37:40 +01:00
parent 44b1c60ab5
commit 5a5de009bc
1 changed files with 20 additions and 2 deletions
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22
cara/tests/test_known_quantities.py
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@ -289,13 +289,20 @@ def test_windowopening(time, expected_value):
def build_hourly_dependent_model(month, intervals_open=((7.5, 8.5),), def build_hourly_dependent_model(month, intervals_open=((7.5, 8.5),),
intervals_presence_infected=((0, 4), (5, 7.5))): intervals_presence_infected=((0, 4), (5, 7.5)),refine=False):
if refine:
times_refined = tuple(np.linspace(0.,24,241))
temperatures_refined = tuple(np.hstack([[v]*10 for v in models.GenevaTemperatures_hourly[month].values]))
outside_temp=models.PiecewiseConstant(times_refined,temperatures_refined)
else:
outside_temp=models.GenevaTemperatures_hourly[month]
model = models.Model( model = models.Model(
room=models.Room(volume=75), room=models.Room(volume=75),
ventilation=models.WindowOpening( ventilation=models.WindowOpening(
active=models.SpecificInterval(intervals_open), active=models.SpecificInterval(intervals_open),
inside_temp=models.PiecewiseConstant((0,24),(293,)), inside_temp=models.PiecewiseConstant((0,24),(293,)),
outside_temp=models.GenevaTemperatures[month], outside_temp=outside_temp,
cd_b=0.6, window_height=1.6, opening_length=0.6, cd_b=0.6, window_height=1.6, opening_length=0.6,
), ),
infected=models.InfectedPerson( infected=models.InfectedPerson(
@ -414,3 +421,14 @@ def test_concentrations_hourly_dep_adding_artificial_transitions(month_temp_item
m1 = build_hourly_dependent_model(month,intervals_open=((7.5, 8.5),)) m1 = build_hourly_dependent_model(month,intervals_open=((7.5, 8.5),))
m2 = build_hourly_dependent_model(month,intervals_open=((7.5, 8.5),(8.,8.1))) m2 = build_hourly_dependent_model(month,intervals_open=((7.5, 8.5),(8.,8.1)))
npt.assert_allclose(m1.concentration(time), m2.concentration(time), rtol=1e-5) npt.assert_allclose(m1.concentration(time), m2.concentration(time), rtol=1e-5)
@pytest.mark.parametrize(
"time",
list(np.random.random_sample(20)*24.)+list(np.arange(0,24.5,0.5)),
)
def test_concentrations_refine_times(time):
month = 'Jan'
m1 = build_hourly_dependent_model(month,intervals_open=((0, 24),))
m2 = build_hourly_dependent_model(month,intervals_open=((0, 24),),refine=True)
npt.assert_allclose(m1.concentration(time), m2.concentration(time), rtol=1e-8)