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Adding tests on Mask (new classes and new methods)

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Nicolas Mounet 2021-05-26 23:37:10 +02:00 committed by Phil Elson
parent 9322c27af9
commit 78cdb22798
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cara/tests/models/test_mask.py Normal file
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import dataclasses
import numpy as np
import numpy.testing as npt
import pytest
from cara import models
@pytest.mark.parametrize(
"η_inhale, expected_inhale_efficiency",
[
[0.5, 0.5],
[np.array([0.3, 0.5]), np.array([0.3, 0.5])],
],
)
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)
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",
[
[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.])],
],
)
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)
npt.assert_almost_equal(mask.exhale_efficiency(diameter),
expected_exhale_efficiency)