20b0467f89
- extract, isolate and package it in a completely independent Python module, versioned and in a way that allows releases on PyPI.org - fixed error in placeholder for secondary school (data registry defaults) - added restriction in pytest version to install - expected number of new cases fix - data registry update (schema v2.1.1) - github update - deprecate ExpertApplication and CO2Application - changes to reflect schema update 2.0.2 - version update - Fixed error with f_inf (short-range) - new folder layout - Conditional probability data update - General fixes - Fitting results in L/S/person - CO2 fitting algorithm refinement
34 lines
968 B
Python
34 lines
968 B
Python
import numpy as np
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import numpy.testing as npt
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import pytest
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from caimira.calculator.models import models
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@pytest.mark.parametrize(
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"η_inhale, expected_inhale_efficiency",
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[
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[0.5, 0.5],
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[np.array([0.3, 0.5]), np.array([0.3, 0.5])],
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],
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)
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def test_mask_inhale(η_inhale, expected_inhale_efficiency):
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mask = models.Mask(η_inhale=η_inhale)
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npt.assert_equal(mask.inhale_efficiency(),
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expected_inhale_efficiency)
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@pytest.mark.parametrize(
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"diameter, factor_exhale, expected_exhale_efficiency",
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[
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[0.3, 1., 0.],
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[0.7, 0.3, 0.56711*0.3],
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[1., 1., 0.7149],
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[4., 0.5, 0.8167*0.5],
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[5., 0., 0.],
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],
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)
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def test_mask_exhale(diameter, factor_exhale, expected_exhale_efficiency):
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mask = models.Mask(η_inhale=0.3, factor_exhale=factor_exhale)
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npt.assert_almost_equal(mask.exhale_efficiency(diameter),
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expected_exhale_efficiency)
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