Deepak Mallubhotla
2b22267f36
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59 lines
1.3 KiB
Python
59 lines
1.3 KiB
Python
import numpy as np
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import pytest
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import pyewjn.dielectric
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import pyewjn.noise.chi
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from pyewjn.baskets import CalculationParams
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cutoff_to_use = 5.4596e9
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@pytest.fixture
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def chi_zz_e_nam():
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params = CalculationParams(
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omega=1e9, v_f=2e6, omega_p=3.544907701811032e15, tau=1e-14, t_rel=0.99999
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)
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eps_l = pyewjn.dielectric.get_nam_dielectric(cutoff_to_use, params)
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return pyewjn.noise.chi.get_chi_zz_e(eps_l)
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@pytest.mark.parametrize(
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"test_input,expected",
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[
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# z chi_zz_e_nam(z)
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(1e-5, 4.07695673649665e6),
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(1e-6, 4.095895777068543e9),
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# (1e-7, 5.012885033150058e12), commenting this one out because it seems numerically too unstable
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# (1e-8, 1.441261982619894e16), commenting this one out because it seems numerically too unstable
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],
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)
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def test_chi_zz_e_nam(chi_zz_e_nam, test_input, expected):
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actual = chi_zz_e_nam(test_input)
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np.testing.assert_allclose(
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actual,
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expected,
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rtol=0.05,
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err_msg="chi_zz_e is inaccurate for nam case",
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verbose=True,
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)
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@pytest.mark.parametrize(
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"test_input,expected",
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[
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# z chi_zz_e_nam(z)
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(1e-6, 4.095895777068543e9),
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],
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)
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def test_chi_zz_e_nam_benchmark(benchmark, chi_zz_e_nam, test_input, expected):
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actual = benchmark(chi_zz_e_nam, test_input)
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np.testing.assert_allclose(
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actual,
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expected,
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rtol=0.05,
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err_msg="chi_zz_e is inaccurate for nam case",
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verbose=True,
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)
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