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Modifying tests on mask to comply with a single Mask class

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This commit is contained in:
Nicolas Mounet 2021-05-30 19:25:39 +02:00
parent 6fd8d6531b
commit 3226bb04e8
1 changed files with 9 additions and 34 deletions
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43
cara/tests/models/test_mask.py
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@ -1,6 +1,3 @@
import dataclasses
import numpy as np
import numpy.testing as npt
import pytest
@ -15,44 +12,22 @@ from cara import models
],
)
def test_masks_inhale(η_inhale, expected_inhale_efficiency):
mask = models.Mask(η_inhale=η_inhale,η_exhale=0.95,η_leaks=0.15)
measuredmask = models.MeasuredMask(η_inhale=η_inhale)
mask = models.Mask(η_inhale=η_inhale)
npt.assert_equal(mask.inhale_efficiency(),
expected_inhale_efficiency)
npt.assert_equal(measuredmask.inhale_efficiency(),
expected_inhale_efficiency)
@pytest.mark.parametrize(
"η_exhale, η_leaks, expected_exhale_efficiency_small, expected_exhale_efficiency_large",
"diameter, factor_exhale, expected_exhale_efficiency",
[
[0.95, 0.15, 0., 0.8075],
[np.array([0.95, 1.]), 0.15, np.zeros(2), np.array([0.8075, 0.85])],
[0.95, np.array([0.15, 0.]), np.zeros(2), np.array([0.8075, 0.95])],
[np.array([0.95, 1.]), np.array([0.15, 0.]), np.zeros(2), np.array([0.8075, 1.])],
[0.3e-4, 1., 0.],
[0.7e-4, 0.3, 0.56711*0.3],
[1.e-4, 1., 0.7149],
[4.e-4, 0.5, 0.8167*0.5],
[5.e-4, 0., 0.],
],
)
def test_mask_exhale(η_exhale, η_leaks, expected_exhale_efficiency_small,
expected_exhale_efficiency_large):
mask = models.Mask(η_inhale=0.3,η_exhale=η_exhale,η_leaks=η_leaks)
# we test one small and one large diameter (resp. 1 and 4 microns)
npt.assert_equal(mask.exhale_efficiency(1.e-4),
expected_exhale_efficiency_small)
npt.assert_equal(mask.exhale_efficiency(4.e-4),
expected_exhale_efficiency_large)
@pytest.mark.parametrize(
"diameter, expected_exhale_efficiency",
[
[0.3e-4, 0.],
[0.7e-4, 0.56711],
[1.e-4, 0.7149],
[4.e-4, 0.8167],
],
)
def test_measuredmask_exhale(diameter, expected_exhale_efficiency):
mask = models.MeasuredMask(η_inhale=0.3)
def test_mask_exhale(diameter, factor_exhale, expected_exhale_efficiency):
mask = models.Mask(η_inhale=0.3, factor_exhale=factor_exhale)
npt.assert_almost_equal(mask.exhale_efficiency(diameter),
expected_exhale_efficiency)