121 lines
3.4 KiB
Python
121 lines
3.4 KiB
Python
import pynam.sigma_nam
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import numpy as np
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import pytest
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@pytest.mark.parametrize("test_input,expected", [
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((1, 2), 7 / (2 * np.sqrt(6))),
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((2, 0.25), -5j / np.sqrt(39))
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])
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def test_g(test_input, expected):
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np.testing.assert_almost_equal(
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pynam.sigma_nam.g(*test_input), expected,
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decimal=7, err_msg='g function is off'
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)
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@pytest.mark.parametrize("test_input,expected", [
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((1, 2, 0), 2),
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((1, 2, 3), 2 - 3j),
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((1, 0, 3), -3j)
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])
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def test_s(test_input, expected):
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np.testing.assert_almost_equal(
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pynam.sigma_nam.s(*test_input), expected,
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decimal=7, err_msg='s function is off'
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)
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@pytest.mark.parametrize("test_input,expected", [
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((1, 2, 0), 4 - 3 * np.log(3)),
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((1, 1, 0.1), 1.7258022209219421 + 0.4146045220413866j),
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((1, 2, 1), 0.535971651563 + 0.291580606867j),
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((1, 0, 1), (np.pi - 2)*1j),
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((2, 1.09637631718, 0), 0.97892512273 + 1.09875591859j),
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((2, 1, 0), 0.91197960825 + 1.17809724510j)
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])
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def test_f(test_input, expected):
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np.testing.assert_almost_equal(
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pynam.sigma_nam.f(*test_input), expected,
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decimal=7, err_msg='f function is off'
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)
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@pytest.mark.parametrize("test_input,expected", [
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((2, 3, 1, 0), 1.43292419807),
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((1, 2, 3, 4), 0.020963572915 + 0.441546735048j),
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((1, 2, 2, 0), 2.24702466263660598724031013350450660504 + 2.6687342075059525776833106878900822165j)
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])
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def test_i1(test_input, expected):
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np.testing.assert_almost_equal(
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pynam.sigma_nam.i1(*test_input), expected,
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decimal=7, err_msg='i1 function is off'
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)
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@pytest.mark.parametrize("test_input,expected", [
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((2, 3, 1, 0), 1.48649022993),
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((1, 2, 3, 4), 0.079899419983 + 0.441546735048j),
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((1, 2, 2, 0), 2.5083371377336783093007366990156440969 + 2.6687342075059525776833106878900822165j)
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])
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def test_i2(test_input, expected):
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np.testing.assert_almost_equal(
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pynam.sigma_nam.i2(*test_input), expected,
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decimal=7, err_msg='i1 function is off'
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)
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@pytest.mark.parametrize("test_input,expected", [
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((1, 2, 3, 4), 0.228396),
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])
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def test_a(test_input, expected):
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actual = np.real_if_close(pynam.sigma_nam.a(*test_input))
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np.testing.assert_almost_equal(
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actual, expected,
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decimal=6, err_msg='a function is off'
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)
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@pytest.mark.parametrize("test_input,expected", [
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((2, 1, 2, 0, 4), 0.19089933550122580816258795500979108668 + 0.30273783507819906415704926284048453889j),
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((100, 1, 2, 3, 4), -2.62529549976e-6 + 2.60765e-12j),
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])
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def test_b_int(test_input, expected):
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actual = np.real_if_close(pynam.sigma_nam.b_int(*test_input))
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np.testing.assert_almost_equal(
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actual, expected,
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decimal=6, err_msg='b int function is off'
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)
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@pytest.mark.parametrize("test_input,expected", [
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((1, 2, 0, 4), 1.23149 + 2.08627j),
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((1, 2, 3, 4), -0.0595819 + 0.437385j),
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])
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def test_b(test_input, expected):
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actual = np.real_if_close(pynam.sigma_nam.b(*test_input))
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np.testing.assert_almost_equal(
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actual, actual,
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decimal=6, err_msg='b function is off'
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)
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@pytest.mark.parametrize("test_input,expected", [
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((1, 2, 0, 4), 0),
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((1, 2, 3, 4), 0.984117 + 0.647951j),
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])
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def test_sigma_nam(test_input, expected):
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actual = np.real_if_close(pynam.sigma_nam.sigma_nam(*test_input))
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np.testing.assert_almost_equal(
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actual, expected,
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decimal=6, err_msg='sigma_nam function is off'
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)
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def test_sigma_nam_benchmark(benchmark):
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result = benchmark(pynam.sigma_nam.sigma_nam, 1, 2, 3, 4)
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np.testing.assert_almost_equal(
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result, 0.984117 + 0.647951j,
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decimal=6, err_msg='sigma nam benchmrak function is off'
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)
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