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"""Tests for the python bindings.""" |
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import numpy as np | ||
import numpy.testing as npt | ||
import pytest | ||
import rebop | ||
import xarray as xr | ||
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def sir_model(transmission: float = 1e-4, recovery: float = 0.01) -> rebop.Gillespie: | ||
sir = rebop.Gillespie() | ||
sir.add_reaction(transmission, ["S", "I"], ["I", "I"]) | ||
sir.add_reaction(recovery, ["I"], ["R"]) | ||
return sir | ||
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@pytest.mark.parametrize("seed", [None, *range(10)]) | ||
def test_sir(seed: int): | ||
sir = sir_model() | ||
ds = sir.run({"S": 999, "I": 1}, tmax=250, nb_steps=250, seed=seed) | ||
assert isinstance(ds, xr.Dataset) | ||
npt.assert_array_equal(ds.time, np.arange(251)) | ||
assert all(ds.S >= 0) | ||
assert all(ds.I >= 0) | ||
assert all(ds.R >= 0) | ||
assert all(ds.S <= 1000) | ||
assert all(ds.I <= 1000) | ||
assert all(ds.R <= 1000) | ||
npt.assert_array_equal(ds.S + ds.I + ds.R, [1000] * 251) | ||
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def test_fixed_seed(): | ||
sir = sir_model() | ||
ds = sir.run({"S": 999, "I": 1}, tmax=250, nb_steps=250, seed=42) | ||
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assert ds.S[-1] == 0 | ||
assert ds.I[-1] == 166 | ||
assert ds.R[-1] == 834 |