GitHub Actions test: drop core coverage

pvlib/tests/test_spectrum.py

@@ -6,103 +6,3 @@
 from .conftest import DATA_DIR
 
 SPECTRL2_TEST_DATA = DATA_DIR / 'spectrl2_example_spectra.csv'
-
-
-@pytest.fixture
-def spectrl2_data():
-    # reference spectra generated with solar_utils==0.3
-    """
-    expected = solar_utils.spectrl2(
-        units=1,
-        location=[40, -80, -5],
-        datetime=[2020, 3, 15, 10, 45, 59],
-        weather=[1013, 15],
-        orientation=[0, 180],
-        atmospheric_conditions=[1.14, 0.65, 0.344, 0.1, 1.42],
-        albedo=[0.3, 0.7, 0.8, 1.3, 2.5, 4.0] + [0.2]*6,
-    )
-    """
-    kwargs = {
-        'surface_tilt': 0,
-        'relative_airmass': 1.4899535986910446,
-        'apparent_zenith': 47.912086486816406,
-        'aoi': 47.91208648681641,
-        'ground_albedo': 0.2,
-        'surface_pressure': 101300,
-        'ozone': 0.344,
-        'precipitable_water': 1.42,
-        'aerosol_turbidity_500nm': 0.1,
-        'dayofyear': 75
-    }
-    df = pd.read_csv(SPECTRL2_TEST_DATA)
-    # convert um to nm
-    df['wavelength'] *= 1000
-    df[['specdif', 'specdir', 'specetr', 'specglo']] /= 1000
-    return kwargs, df
-
-
-def test_spectrl2(spectrl2_data):
-    # compare against output from solar_utils wrapper around NREL spectrl2_2.c
-    kwargs, expected = spectrl2_data
-    actual = spectrum.spectrl2(**kwargs)
-    assert_allclose(expected['wavelength'].values, actual['wavelength'])
-    assert_allclose(expected['specdif'].values, actual['dhi'].ravel(),
-                    atol=7e-5)
-    assert_allclose(expected['specdir'].values, actual['dni'].ravel(),
-                    atol=1.5e-4)
-    assert_allclose(expected['specetr'], actual['dni_extra'].ravel(),
-                    atol=2e-4)
-    assert_allclose(expected['specglo'], actual['poa_global'].ravel(),
-                    atol=1e-4)
-
-
-def test_spectrl2_array(spectrl2_data):
-    # test that supplying arrays instead of scalars works
-    kwargs, expected = spectrl2_data
-    kwargs = {k: np.array([v, v, v]) for k, v in kwargs.items()}
-    actual = spectrum.spectrl2(**kwargs)
-
-    assert actual['wavelength'].shape == (122,)
-
-    keys = ['dni_extra', 'dhi', 'dni', 'poa_sky_diffuse', 'poa_ground_diffuse',
-            'poa_direct', 'poa_global']
-    for key in keys:
-        assert actual[key].shape == (122, 3)
-
-
-def test_spectrl2_series(spectrl2_data):
-    # test that supplying Series instead of scalars works
-    kwargs, expected = spectrl2_data
-    kwargs.pop('dayofyear')
-    index = pd.to_datetime(['2020-03-15 10:45:59']*3)
-    kwargs = {k: pd.Series([v, v, v], index=index) for k, v in kwargs.items()}
-    actual = spectrum.spectrl2(**kwargs)
-
-    assert actual['wavelength'].shape == (122,)
-
-    keys = ['dni_extra', 'dhi', 'dni', 'poa_sky_diffuse', 'poa_ground_diffuse',
-            'poa_direct', 'poa_global']
-    for key in keys:
-        assert actual[key].shape == (122, 3)
-
-
-def test_dayofyear_missing(spectrl2_data):
-    # test that not specifying dayofyear with non-pandas inputs raises error
-    kwargs, expected = spectrl2_data
-    kwargs.pop('dayofyear')
-    with pytest.raises(ValueError, match='dayofyear must be specified'):
-        _ = spectrum.spectrl2(**kwargs)
-
-
-def test_aoi_gt_90(spectrl2_data):
-    # test that returned irradiance values are non-negative when aoi > 90
-    # see GH #1348
-    kwargs, _ = spectrl2_data
-    kwargs['apparent_zenith'] = 70
-    kwargs['aoi'] = 130
-    kwargs['surface_tilt'] = 60
-
-    spectra = spectrum.spectrl2(**kwargs)
-    for key in ['poa_direct', 'poa_global']:
-        message = f'{key} contains negative values for aoi>90'
-        assert np.all(spectra[key] >= 0), message