Merge branch 'feature/short_range_interpersonal_distance' into 'master'
Added Custom distribution for interpersonal distances Closes #254 See merge request cara/cara!346
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commit
8087405319
2 changed files with 10 additions and 6 deletions
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@ -5,7 +5,7 @@ import numpy as np
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from scipy import special as sp
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import cara.monte_carlo as mc
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from cara.monte_carlo.sampleable import LogNormal,LogCustomKernel,CustomKernel,Uniform
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from cara.monte_carlo.sampleable import LogNormal,LogCustomKernel,CustomKernel,Uniform, Custom
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sqrt2pi = np.sqrt(2.*np.pi)
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@ -202,5 +202,9 @@ short_range_expiration_distributions = {
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}
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# Fit from Fig 8 a) "stand-stand" in https://www.mdpi.com/1660-4601/17/4/1445/htm
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short_range_distances = LogNormal(-0.269359136417347, 0.4728300188814934)
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# Derived from Fig 8 a) "stand-stand" in https://www.mdpi.com/1660-4601/17/4/1445/htm
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distances = np.array((0.5,0.6,0.7,0.8,0.9,1,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9,2))
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frequencies = np.array((0.0598036,0.0946154,0.1299152,0.1064905,0.1099066,0.0998209, 0.0845298,0.0479286,0.0406084,0.039795,0.0205997,0.0152316,0.0118155,0.0118155,0.018485,0.0205997))
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short_range_distances = Custom(bounds=(0.5,2.),
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function=lambda x: np.interp(x,distances,frequencies,left=0.,right=0.),
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max_function=0.13)
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@ -102,9 +102,9 @@ def test_extract_between_bounds(short_range_model, time1, time2,
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@pytest.mark.parametrize(
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"time, expected_short_range_concentration", [
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[8.5, 0.],
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[10.5, 15.24806213],
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[10.6, 15.24806213],
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[11.0, 15.24806213],
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[10.5, 5.401601371244907],
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[10.6, 5.401601371244907],
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[11.0, 5.401601371244907],
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[12.0, 0.],
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]
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)
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