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# -*- coding: utf-8 -*- |
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# vim:fileencoding=utf-8 |
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import datetime as dt |
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import numpy as np |
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import pytest |
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from nrlmsise00.dataset import msise_4d |
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@pytest.mark.parametrize( |
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"ap, lon, lst", [ |
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(None, -70., None), |
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(4., -70., 16.), |
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([5., 6.], -70., [6., 18.]), |
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(None, [-70, 0., 70.], [5., 7., 12.]), |
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(None, [-70, 0., 70.], [[5., 17.], [6., 18.], [7., 19.]]), |
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(None, [-70, 0., 70.], [[5., 6., 7.], [17., 18., 19.]]), |
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] |
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) |
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def test_dataset(ap, lon, lst): |
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# checks that broadcasting works as intended |
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ds = msise_4d( |
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[dt.datetime(2009, 6, 21, 8, 3, 20), dt.datetime(2009, 12, 21, 16, 3, 20)], |
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[400, 200, 100], # alt |
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[60, 30, 0, -30, -60], # g_lat |
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lon, # g_long |
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150, # f107A |
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150, # f107 |
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ap=ap, # ap |
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lst=lst, |
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) |
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assert ds |
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@pytest.mark.parametrize( |
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"lon, lst, lst_expected", [ |
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( |
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0, |
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None, |
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np.array([8., 16.]).reshape(2, 1), |
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), |
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( |
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[30, 150], |
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None, |
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np.array([[10., 18.], [18., 26.]]).reshape(2, 2), |
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), |
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( |
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[30, 120, 150], |
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None, |
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np.array([[10., 16., 18.], [18., 24., 26.]]), |
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), |
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( |
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[30, 120, 150], |
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[10., 16.], # same shape as "time" |
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np.array([[10., 10., 10.], [16., 16., 16.]]), |
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), |
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( |
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[30, 120, 150], |
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[10., 16., 18.], # same shape as "lon" |
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np.array([[10., 16., 18.], [10., 16., 18.]]), |
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), |
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] |
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) |
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def test_lst(lon, lst, lst_expected): |
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# checks that local time works as intended |
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ds = msise_4d( |
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[dt.datetime(2009, 6, 21, 8), dt.datetime(2009, 12, 21, 16)], |
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[400, 200, 100], # alt |
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[60, 30, 0, -30, -60], # g_lat |
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lon, # g_long |
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150, # f107A |
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150, # f107 |
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4, # ap |
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lst=lst, |
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) |
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assert ds |
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np.testing.assert_allclose(ds.lst.values, lst_expected) |
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def test_nd_raise(): |
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with pytest.raises(ValueError, match=r"Only scalars and up to 1-D .*"): |
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msise_4d( |
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dt.datetime(2009, 6, 21, 8), |
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# 2-d should fail |
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[[200]], # alt |
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60, # g_lat |
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-70, # g_long |
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150, # f107A |
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150, # f107 |
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4, # ap |
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) |
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