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Updated unit tests for multi-location weather data

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This commit is contained in:
jdevine 2021-08-10 18:41:25 +02:00
parent 8c8b77ad52
commit ea2e1fbd72
1 changed files with 3 additions and 3 deletions
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6
cara/tests/test_known_quantities.py
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@ -195,7 +195,7 @@ def test_windowopening(time, expected_value):
def build_hourly_dependent_model(month, intervals_open=((7.5, 8.5),),
intervals_presence_infected=((0, 4), (5, 7.5)),
artificial_refinement=False,
temperatures=data.GenevaTemperatures_hourly):
temperatures=data.Temperatures_hourly):
if artificial_refinement:
# 5-fold increase of number of times, WITHOUT interpolation
# (hence transparent for the results)
@ -254,7 +254,7 @@ def build_hourly_dependent_model_multipleventilation(month, intervals_open=((7.5
models.SlidingWindow(
active=models.SpecificInterval(intervals_open),
inside_temp=models.PiecewiseConstant((0,24),(293,)),
outside_temp=data.GenevaTemperatures[month],
outside_temp=data.Temperatures[month],
window_height=1.6, opening_length=0.6,
),
models.HEPAFilter(
@ -390,7 +390,7 @@ def test_quanta_hourly_dep_refined(month,expected_quanta):
month,
intervals_open=((0, 24),),
intervals_presence_infected=((8, 12), (13, 17)),
temperatures=data.GenevaTemperatures,
temperatures=data.Temperatures,
)
)
quanta = m.quanta_exposure()