1
|
|
|
# -*- coding: utf-8 -*- |
2
|
|
|
# vim:fileencoding=utf-8 |
3
|
|
|
import datetime as dt |
4
|
|
|
import numpy as np |
5
|
|
|
import pytest |
6
|
|
|
|
7
|
|
|
try: |
8
|
|
|
from nrlmsise00.dataset import msise_4d |
9
|
|
|
except ImportError: |
10
|
|
|
pytest.skip("`nrlmsise00.dataset` not installed.", allow_module_level=True) |
11
|
|
|
|
12
|
|
|
|
13
|
|
|
@pytest.mark.parametrize( |
14
|
|
|
"date", [ |
15
|
|
|
[dt.datetime(2009, 6, 21, 8, 3, 20), dt.datetime(2009, 12, 21, 16, 3, 20)], |
16
|
|
|
["2009-06-21 08:03:20", "2009-12-21 16:03:20"], |
17
|
|
|
["2009-06-21 08:03:20+01:00", "2009-12-21 16:03:20-01:00"], |
18
|
|
|
] |
19
|
|
|
) |
20
|
|
|
@pytest.mark.parametrize( |
21
|
|
|
"ap, lon, lst", [ |
22
|
|
|
(None, -70., None), |
23
|
|
|
(4., -70., 16.), |
24
|
|
|
([5., 6.], -70., [6., 18.]), |
25
|
|
|
(None, [-70, 0., 70.], None), |
26
|
|
|
(None, [-70, 0., 70.], [5., 7., 12.]), |
27
|
|
|
(None, [-70, 0., 70.], [[5., 17.], [6., 18.], [7., 19.]]), |
28
|
|
|
(None, [-70, 0., 70.], [[5., 6., 7.], [17., 18., 19.]]), |
29
|
|
|
] |
30
|
|
|
) |
31
|
|
|
def test_dataset(date, ap, lon, lst): |
32
|
|
|
# checks that broadcasting works as intended |
33
|
|
|
ds = msise_4d( |
34
|
|
|
date, |
35
|
|
|
[400, 200, 100], # alt |
36
|
|
|
[60, 30, 0, -30, -60], # g_lat |
37
|
|
|
lon, # g_long |
38
|
|
|
150, # f107A |
39
|
|
|
ap=ap, # ap |
40
|
|
|
lst=lst, |
41
|
|
|
) |
42
|
|
|
assert ds |
43
|
|
|
|
44
|
|
|
|
45
|
|
|
@pytest.mark.parametrize( |
46
|
|
|
"lon, lst, lst_expected", [ |
47
|
|
|
( |
48
|
|
|
0, |
49
|
|
|
None, |
50
|
|
|
np.array([8., 16.]).reshape(2, 1), |
51
|
|
|
), |
52
|
|
|
( |
53
|
|
|
[30, 150], |
54
|
|
|
None, |
55
|
|
|
np.array([[10., 18.], [18., 26.]]).reshape(2, 2), |
56
|
|
|
), |
57
|
|
|
( |
58
|
|
|
[30, 120, 150], |
59
|
|
|
None, |
60
|
|
|
np.array([[10., 16., 18.], [18., 24., 26.]]), |
61
|
|
|
), |
62
|
|
|
( |
63
|
|
|
[30, 120, 150], |
64
|
|
|
[10., 16.], # same shape as "time" |
65
|
|
|
np.array([[10., 10., 10.], [16., 16., 16.]]), |
66
|
|
|
), |
67
|
|
|
( |
68
|
|
|
[30, 120, 150], |
69
|
|
|
[10., 16., 18.], # same shape as "lon" |
70
|
|
|
np.array([[10., 16., 18.], [10., 16., 18.]]), |
71
|
|
|
), |
72
|
|
|
] |
73
|
|
|
) |
74
|
|
|
def test_lst(lon, lst, lst_expected): |
75
|
|
|
# checks that local time works as intended |
76
|
|
|
ds = msise_4d( |
77
|
|
|
[dt.datetime(2009, 6, 21, 8), dt.datetime(2009, 12, 21, 16)], |
78
|
|
|
[400, 200, 100], # alt |
79
|
|
|
[60, 30, 0, -30, -60], # g_lat |
80
|
|
|
lon, # g_long |
81
|
|
|
150, # f107A |
82
|
|
|
150, # f107 |
83
|
|
|
4, # ap |
84
|
|
|
lst=lst, |
85
|
|
|
) |
86
|
|
|
assert ds |
87
|
|
|
np.testing.assert_allclose(ds.lst.values, lst_expected) |
88
|
|
|
|
89
|
|
|
|
90
|
|
|
def test_nd_raise(): |
91
|
|
|
with pytest.raises(ValueError, match=r"Only scalars and up to 1-D .*"): |
92
|
|
|
msise_4d( |
93
|
|
|
dt.datetime(2009, 6, 21, 8), |
94
|
|
|
# 2-d should fail |
95
|
|
|
[[200]], # alt |
96
|
|
|
60, # g_lat |
97
|
|
|
-70, # g_long |
98
|
|
|
150, # f107A |
99
|
|
|
150, # f107 |
100
|
|
|
4, # ap |
101
|
|
|
) |
102
|
|
|
|