pingu_98/cara
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

Changed test values on test_monte_carlo_full_models

Browse source
This commit is contained in:
Luis Aleixo 2022-02-03 15:14:33 +01:00
parent 2a43fffec9
commit 8855dfc75a
1 changed files with 13 additions and 13 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

26
cara/tests/test_monte_carlo_full_models.py
View file

@ -306,13 +306,13 @@ def waiting_room_mc():
@pytest.mark.parametrize(
"mc_model, expected_pi, expected_new_cases, expected_dose, expected_ER",
[
["shared_office_mc", 6.03, 0.18, 27.22, 809],
["classroom_mc", 9.5, 1.85, 79.98, 5624],
["ski_cabin_mc", 16.0, 0.5, 40.25, 7966],
["skagit_chorale_mc",65.7, 40.0, 241.28, 190422],
["bus_ride_mc", 12.0, 8.0, 63.79, 5419],
["gym_mc", 0.45, 0.13, 0.4852, 1145],
["waiting_room_mc", 1.59, 0.22, 7.23, 737],
["shared_office_mc", 6.03, 0.18, 3.198, 809],
["classroom_mc", 9.5, 1.85, 9.478, 5624],
["ski_cabin_mc", 16.0, 0.5, 17.315, 7966],
["skagit_chorale_mc",65.7, 40.0, 102.213, 190422],
["bus_ride_mc", 12.0, 8.0, 7.65, 5419],
["gym_mc", 0.45, 0.13, 0.208, 1145],
["waiting_room_mc", 1.59, 0.22, 0.821, 737],
]
)
def test_report_models(mc_model, expected_pi, expected_new_cases,
@ -323,7 +323,7 @@ def test_report_models(mc_model, expected_pi, expected_new_cases,
expected_pi, rtol=TOLERANCE)
npt.assert_allclose(exposure_model.expected_new_cases().mean(),
expected_new_cases, rtol=TOLERANCE)
npt.assert_allclose(exposure_model.exposure().mean(),
npt.assert_allclose(exposure_model.deposited_exposure().mean(),
expected_dose, rtol=TOLERANCE)
npt.assert_allclose(
exposure_model.concentration_model.infected.emission_rate_when_present().mean(),
@ -333,10 +333,10 @@ def test_report_models(mc_model, expected_pi, expected_new_cases,
@pytest.mark.parametrize(
"mask_type, month, expected_pi, expected_dose, expected_ER",
[
["No mask", "Jul", 9.52, 84.54, 809],
["Type I", "Jul", 1.7, 15.64, 149],
["FFP2", "Jul", 0.51, 15.64, 149],
["Type I", "Feb", 0.57, 4.59, 162],
["No mask", "Jul", 9.52, 9.920, 809],
["Type I", "Jul", 1.7, 0.913, 149],
["FFP2", "Jul", 0.51, 0.239, 149],
["Type I", "Feb", 0.57, 0.272, 162],
],
)
def test_small_shared_office_Geneva(mask_type, month, expected_pi,
@ -381,7 +381,7 @@ def test_small_shared_office_Geneva(mask_type, month, expected_pi,
exposure_model = exposure_mc.build_model(size=SAMPLE_SIZE)
npt.assert_allclose(exposure_model.infection_probability().mean(),
expected_pi, rtol=TOLERANCE)
npt.assert_allclose(exposure_model.exposure().mean(),
npt.assert_allclose(exposure_model.deposited_exposure().mean(),
expected_dose, rtol=TOLERANCE)
npt.assert_allclose(
exposure_model.concentration_model.infected.emission_rate_when_present().mean(),