|
1
|
|
|
# -*- coding: utf-8 -*- |
|
2
|
|
|
"""Test the apexpy.helper submodule |
|
3
|
|
|
|
|
4
|
|
|
Notes |
|
5
|
|
|
----- |
|
6
|
|
|
Whenever function outputs are tested against hard-coded numbers, the test |
|
7
|
|
|
results (numbers) were obtained by running the code that is tested. Therefore, |
|
8
|
|
|
these tests below only check that nothing changes when refactoring, etc., and |
|
9
|
|
|
not if the results are actually correct. |
|
10
|
|
|
|
|
11
|
|
|
These results are expected to change when IGRF is updated. |
|
12
|
|
|
|
|
13
|
|
|
""" |
|
14
|
|
|
|
|
15
|
|
|
import datetime as dt |
|
16
|
|
|
import numpy as np |
|
17
|
|
|
import pytest |
|
18
|
|
|
|
|
19
|
|
|
from apexpy import helpers |
|
20
|
|
|
|
|
21
|
|
|
|
|
22
|
|
|
def datetime64_to_datetime(dt64): |
|
23
|
|
|
"""Convert numpy datetime64 object to a datetime datetime object. |
|
24
|
|
|
|
|
25
|
|
|
Parameters |
|
26
|
|
|
---------- |
|
27
|
|
|
dt64 : np.datetime64 |
|
28
|
|
|
Numpy datetime64 object |
|
29
|
|
|
|
|
30
|
|
|
Returns |
|
31
|
|
|
------- |
|
32
|
|
|
dt.datetime |
|
33
|
|
|
Equivalent datetime object with a resolution of days |
|
34
|
|
|
|
|
35
|
|
|
Notes |
|
36
|
|
|
----- |
|
37
|
|
|
Works outside 32 bit int second range of 1970 |
|
38
|
|
|
|
|
39
|
|
|
""" |
|
40
|
|
|
year_floor = dt64.astype('datetime64[Y]') |
|
41
|
|
|
month_floor = dt64.astype('datetime64[M]') |
|
42
|
|
|
day_floor = dt64.astype('datetime64[D]') |
|
43
|
|
|
year = year_floor.astype(int) + 1970 |
|
44
|
|
|
month = (month_floor |
|
45
|
|
|
- year_floor).astype('timedelta64[M]').astype(int) + 1 |
|
46
|
|
|
day = (day_floor - month_floor).astype('timedelta64[D]').astype(int) + 1 |
|
47
|
|
|
return dt.datetime(year, month, day) |
|
48
|
|
|
|
|
49
|
|
|
|
|
50
|
|
|
class TestHelpers(): |
|
51
|
|
|
def setup_method(self): |
|
52
|
|
|
self.in_shape = None |
|
53
|
|
|
self.calc_val = None |
|
54
|
|
|
self.test_val = None |
|
55
|
|
|
|
|
56
|
|
|
def teardown_method(self): |
|
57
|
|
|
del self.in_shape, self.calc_val, self.test_val |
|
58
|
|
|
|
|
59
|
|
|
def eval_output(self, rtol=1e-7, atol=0.0): |
|
60
|
|
|
"""Evaluate the values and shape of the calculated and expected output. |
|
61
|
|
|
""" |
|
62
|
|
|
np.testing.assert_allclose(self.calc_val, self.test_val, rtol=rtol, |
|
63
|
|
|
atol=atol) |
|
64
|
|
|
assert np.asarray(self.calc_val).shape == self.in_shape |
|
65
|
|
|
return |
|
66
|
|
|
|
|
67
|
|
|
@pytest.mark.parametrize('lat', [90, 0, -90, np.nan]) |
|
68
|
|
|
def test_checklat_scalar(self, lat): |
|
69
|
|
|
"""Test good latitude check with scalars.""" |
|
70
|
|
|
self.calc_val = helpers.checklat(lat) |
|
71
|
|
|
|
|
72
|
|
|
if np.isnan(lat): |
|
73
|
|
|
assert np.isnan(self.calc_val) |
|
74
|
|
|
else: |
|
75
|
|
|
assert self.calc_val == lat |
|
76
|
|
|
return |
|
77
|
|
|
|
|
78
|
|
|
@pytest.mark.parametrize('lat', [(90 + 1e-5), (-90 - 1e-5)]) |
|
79
|
|
|
def test_checklat_scalar_clip(self, lat): |
|
80
|
|
|
"""Test good latitude check with scalars just beyond the lat limits.""" |
|
81
|
|
|
self.calc_val = helpers.checklat(lat) |
|
82
|
|
|
self.test_val = np.sign(lat) * np.floor(abs(lat)) |
|
83
|
|
|
assert self.calc_val == self.test_val |
|
84
|
|
|
return |
|
85
|
|
|
|
|
86
|
|
|
@pytest.mark.parametrize('in_args,msg', |
|
87
|
|
|
[([90 + 1e-4], "lat must be in"), |
|
88
|
|
|
([-90 - 1e-4, 'glat'], "glat must be in"), |
|
89
|
|
|
([[-90 - 1e-5, -90, 0, 90, 90 + 1e-4], 'glat'], |
|
90
|
|
|
"glat must be in"), |
|
91
|
|
|
([[-90 - 1e-4, -90, np.nan, np.nan, 90 + 1e-5]], |
|
92
|
|
|
'lat must be in')]) |
|
93
|
|
|
def test_checklat_error(self, in_args, msg): |
|
94
|
|
|
"""Test bad latitude raises ValueError with appropriate message.""" |
|
95
|
|
|
with pytest.raises(ValueError) as verr: |
|
96
|
|
|
helpers.checklat(*in_args) |
|
97
|
|
|
|
|
98
|
|
|
assert str(verr.value).startswith(msg) |
|
99
|
|
|
return |
|
100
|
|
|
|
|
101
|
|
|
@pytest.mark.parametrize('lat,test_lat', |
|
102
|
|
|
[(np.linspace(-90 - 1e-5, 90 + 1e-5, 3), |
|
103
|
|
|
[-90, 0, 90]), |
|
104
|
|
|
(np.linspace(-90, 90, 3), [-90, 0, 90]), |
|
105
|
|
|
([-90 - 1e-5, 0, 90, np.nan], |
|
106
|
|
|
[-90, 0, 90, np.nan]), |
|
107
|
|
|
([[-90, 0], [0, 90]], [[-90, 0], [0, 90]]), |
|
108
|
|
|
([[-90], [0], [90]], [[-90], [0], [90]])]) |
|
109
|
|
|
def test_checklat_array(self, lat, test_lat): |
|
110
|
|
|
"""Test good latitude with finite values.""" |
|
111
|
|
|
self.calc_val = helpers.checklat(lat) |
|
112
|
|
|
self.in_shape = np.asarray(lat).shape |
|
113
|
|
|
self.test_val = test_lat |
|
114
|
|
|
self.eval_output(atol=1e-8) |
|
115
|
|
|
return |
|
116
|
|
|
|
|
117
|
|
|
@pytest.mark.parametrize('lat,test_sin', [ |
|
118
|
|
|
(60, 0.96076892283052284), (10, 0.33257924500670238), |
|
119
|
|
|
([60, 10], [0.96076892283052284, 0.33257924500670238]), |
|
120
|
|
|
([[60, 10], [60, 10]], [[0.96076892283052284, 0.33257924500670238], |
|
121
|
|
|
[0.96076892283052284, 0.33257924500670238]])]) |
|
122
|
|
|
def test_getsinIm(self, lat, test_sin): |
|
123
|
|
|
"""Test sin(Im) calculation for scalar and array inputs.""" |
|
124
|
|
|
self.calc_val = helpers.getsinIm(lat) |
|
125
|
|
|
self.in_shape = np.asarray(lat).shape |
|
126
|
|
|
self.test_val = test_sin |
|
127
|
|
|
self.eval_output() |
|
128
|
|
|
return |
|
129
|
|
|
|
|
130
|
|
|
@pytest.mark.parametrize('lat,test_cos', [ |
|
131
|
|
|
(60, 0.27735009811261463), (10, 0.94307531289434765), |
|
132
|
|
|
([60, 10], [0.27735009811261463, 0.94307531289434765]), |
|
133
|
|
|
([[60, 10], [60, 10]], [[0.27735009811261463, 0.94307531289434765], |
|
134
|
|
|
[0.27735009811261463, 0.94307531289434765]])]) |
|
135
|
|
|
def test_getcosIm(self, lat, test_cos): |
|
136
|
|
|
"""Test cos(Im) calculation for scalar and array inputs.""" |
|
137
|
|
|
self.calc_val = helpers.getcosIm(lat) |
|
138
|
|
|
self.in_shape = np.asarray(lat).shape |
|
139
|
|
|
self.test_val = test_cos |
|
140
|
|
|
self.eval_output() |
|
141
|
|
|
return |
|
142
|
|
|
|
|
143
|
|
|
@pytest.mark.parametrize('in_time,year', [ |
|
144
|
|
|
(dt.datetime(2001, 1, 1), 2001), (dt.date(2001, 1, 1), 2001), |
|
145
|
|
|
(dt.datetime(2002, 1, 1), 2002), |
|
146
|
|
|
(dt.datetime(2005, 2, 3, 4, 5, 6), 2005.090877283105), |
|
147
|
|
|
(dt.datetime(2005, 12, 11, 10, 9, 8), 2005.943624682902)]) |
|
148
|
|
|
def test_toYearFraction(self, in_time, year): |
|
149
|
|
|
"""Test the datetime to fractional year calculation.""" |
|
150
|
|
|
self.calc_val = helpers.toYearFraction(in_time) |
|
151
|
|
|
np.testing.assert_allclose(self.calc_val, year) |
|
152
|
|
|
return |
|
153
|
|
|
|
|
154
|
|
|
@pytest.mark.parametrize('gc_lat,gd_lat', [ |
|
155
|
|
|
(0, 0), (90, 90), (30, 30.166923849507356), (60, 60.166364190170931), |
|
156
|
|
|
([0, 90, 30], [0, 90, 30.166923849507356]), |
|
157
|
|
|
([[0, 30], [90, 60]], [[0, 30.16692384950735], |
|
158
|
|
|
[90, 60.166364190170931]])]) |
|
159
|
|
|
def test_gc2gdlat(self, gc_lat, gd_lat): |
|
160
|
|
|
"""Test geocentric to geodetic calculation.""" |
|
161
|
|
|
self.calc_val = helpers.gc2gdlat(gc_lat) |
|
162
|
|
|
self.in_shape = np.asarray(gc_lat).shape |
|
163
|
|
|
self.test_val = gd_lat |
|
164
|
|
|
self.eval_output() |
|
165
|
|
|
return |
|
166
|
|
|
|
|
167
|
|
|
@pytest.mark.parametrize('in_time,test_loc', [ |
|
168
|
|
|
(dt.datetime(2005, 2, 3, 4, 5, 6), (-16.505391672592904, |
|
169
|
|
|
122.17768157084515)), |
|
170
|
|
|
(dt.datetime(2010, 12, 11, 10, 9, 8), (-23.001554595838947, |
|
171
|
|
|
26.008999999955023)), |
|
172
|
|
|
(dt.datetime(1601, 1, 1, 0, 0, 0), (-23.06239721771427, |
|
173
|
|
|
-178.90131731228584)), |
|
174
|
|
|
(dt.datetime(2100, 12, 31, 23, 59, 59), (-23.021061422069053, |
|
175
|
|
|
-179.23129780639425))]) |
|
176
|
|
|
def test_subsol(self, in_time, test_loc): |
|
177
|
|
|
"""Test the subsolar location calculation.""" |
|
178
|
|
|
self.calc_val = helpers.subsol(in_time) |
|
179
|
|
|
np.testing.assert_allclose(self.calc_val, test_loc) |
|
180
|
|
|
return |
|
181
|
|
|
|
|
182
|
|
|
@pytest.mark.parametrize('in_time', [dt.datetime(1600, 12, 31, 23, 59, 59), |
|
183
|
|
|
dt.datetime(2101, 1, 1, 0, 0, 0)]) |
|
184
|
|
|
def test_bad_subsol_date(self, in_time): |
|
185
|
|
|
"""Test raises ValueError for bad time in subsolar calculation.""" |
|
186
|
|
|
with pytest.raises(ValueError) as verr: |
|
187
|
|
|
helpers.subsol(in_time) |
|
188
|
|
|
|
|
189
|
|
|
assert str(verr.value).startswith('Year must be in') |
|
190
|
|
|
return |
|
191
|
|
|
|
|
192
|
|
|
@pytest.mark.parametrize('in_time', [None, 2015.0]) |
|
193
|
|
|
def test_bad_subsol_input(self, in_time): |
|
194
|
|
|
"""Test raises ValueError for bad input type in subsolar calculation.""" |
|
195
|
|
|
with pytest.raises(ValueError) as verr: |
|
196
|
|
|
helpers.subsol(in_time) |
|
197
|
|
|
|
|
198
|
|
|
assert str(verr.value).startswith('input must be datetime') |
|
199
|
|
|
return |
|
200
|
|
|
|
|
201
|
|
|
@pytest.mark.parametrize('in_dates', [ |
|
202
|
|
|
np.arange(np.datetime64("2000"), np.datetime64("2001"), |
|
203
|
|
|
np.timedelta64(1, 'M')).astype('datetime64[s]').reshape((3, |
|
204
|
|
|
4)), |
|
205
|
|
|
np.arange(np.datetime64("1601"), np.datetime64("2100"), |
|
206
|
|
|
np.timedelta64(1, 'Y')).astype('datetime64[s]')]) |
|
207
|
|
|
def test_subsol_datetime64_array(self, in_dates): |
|
208
|
|
|
"""Verify subsolar point calculation using an array of np.datetime64. |
|
209
|
|
|
|
|
210
|
|
|
Notes |
|
211
|
|
|
----- |
|
212
|
|
|
Tested by ensuring the array of np.datetime64 is equivalent to |
|
213
|
|
|
converting using single dt.datetime values |
|
214
|
|
|
|
|
215
|
|
|
""" |
|
216
|
|
|
# Get the datetime64 output |
|
217
|
|
|
ss_out = helpers.subsol(in_dates) |
|
218
|
|
|
|
|
219
|
|
|
# Get the datetime scalar output for comparison |
|
220
|
|
|
self.in_shape = in_dates.shape |
|
221
|
|
|
true_out = [list(), list()] |
|
222
|
|
|
for in_date in in_dates.flatten(): |
|
223
|
|
|
dtime = datetime64_to_datetime(in_date) |
|
224
|
|
|
out = helpers.subsol(dtime) |
|
225
|
|
|
true_out[0].append(out[0]) |
|
226
|
|
|
true_out[1].append(out[1]) |
|
227
|
|
|
|
|
228
|
|
|
# Evaluate the two outputs |
|
229
|
|
|
for i, self.calc_val in enumerate(ss_out): |
|
|
|
|
|
|
230
|
|
|
self.test_val = np.array(true_out[i]).reshape(self.in_shape) |
|
231
|
|
|
self.eval_output() |
|
232
|
|
|
|
|
233
|
|
|
return |
|
234
|
|
|
|
aburrell /
apexpy
Loading history...