Total Complexity | 160 |
Total Lines | 1870 |
Duplicated Lines | 3.53 % |
Changes | 0 |
Duplicate code is one of the most pungent code smells. A rule that is often used is to re-structure code once it is duplicated in three or more places.
Common duplication problems, and corresponding solutions are:
Complex classes like test_Apex often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
1 | # -*- coding: utf-8 -*- |
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2 | """Test the apexpy.Apex class |
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3 | |||
4 | Notes |
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5 | ----- |
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6 | Whenever function outputs are tested against hard-coded numbers, the test |
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7 | results (numbers) were obtained by running the code that is tested. Therefore, |
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8 | these tests below only check that nothing changes when refactoring, etc., and |
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9 | not if the results are actually correct. |
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10 | |||
11 | These results are expected to change when IGRF is updated. |
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12 | |||
13 | """ |
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14 | |||
15 | import datetime as dt |
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16 | import numpy as np |
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17 | import os |
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18 | import pytest |
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19 | import shutil |
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20 | import warnings |
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21 | |||
22 | import apexpy |
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23 | |||
24 | |||
25 | class TestApexInit(object): |
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26 | """Test class for the Apex class object.""" |
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27 | |||
28 | def setup_method(self): |
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29 | """Initialize all tests.""" |
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30 | self.apex_out = None |
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31 | self.test_date = dt.datetime.utcnow() |
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32 | self.test_refh = 0 |
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33 | self.bad_file = 'foo/path/to/datafile.blah' |
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34 | self.temp_file = None |
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35 | |||
36 | def teardown_method(self): |
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37 | """Clean up after each test.""" |
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38 | del self.apex_out, self.test_date, self.test_refh |
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39 | del self.bad_file, self.temp_file |
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40 | |||
41 | def eval_date(self): |
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42 | """Evaluate the times in self.test_date and self.apex_out.""" |
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43 | if isinstance(self.test_date, dt.datetime) \ |
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44 | or isinstance(self.test_date, dt.date): |
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45 | self.test_date = apexpy.helpers.toYearFraction(self.test_date) |
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46 | |||
47 | # Assert the times are the same on the order of tens of seconds. |
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48 | # Necessary to evaluate the current UTC |
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49 | np.testing.assert_almost_equal(self.test_date, self.apex_out.year, 6) |
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50 | return |
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51 | |||
52 | def eval_refh(self): |
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53 | """Evaluate the reference height in self.refh and self.apex_out.""" |
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54 | eval_str = "".join(["expected reference height [", |
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55 | "{:}] not equal to Apex ".format(self.test_refh), |
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56 | "reference height ", |
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57 | "[{:}]".format(self.apex_out.refh)]) |
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58 | assert self.test_refh == self.apex_out.refh, eval_str |
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59 | return |
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60 | |||
61 | def test_init_defaults(self): |
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62 | """Test Apex class default initialization.""" |
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63 | self.apex_out = apexpy.Apex() |
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64 | self.eval_date() |
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65 | self.eval_refh() |
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66 | return |
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67 | |||
68 | def test_init_today(self): |
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69 | """Test Apex class initialization with today's date.""" |
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70 | self.apex_out = apexpy.Apex(date=self.test_date) |
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71 | self.eval_date() |
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72 | self.eval_refh() |
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73 | return |
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74 | |||
75 | @pytest.mark.parametrize("in_date", |
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76 | [2015, 2015.5, dt.date(2015, 1, 1), |
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77 | dt.datetime(2015, 6, 1, 18, 23, 45)]) |
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78 | def test_init_date(self, in_date): |
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79 | """Test Apex class with date initialization. |
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80 | |||
81 | Parameters |
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82 | ---------- |
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83 | in_date : int, float, dt.date, or dt.datetime |
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84 | Input date in a variety of formats |
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85 | |||
86 | """ |
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87 | self.test_date = in_date |
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88 | self.apex_out = apexpy.Apex(date=self.test_date) |
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89 | self.eval_date() |
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90 | self.eval_refh() |
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91 | return |
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92 | |||
93 | @pytest.mark.parametrize("new_date", [2015, 2015.5]) |
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94 | def test_set_epoch(self, new_date): |
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95 | """Test successful setting of Apex epoch after initialization. |
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96 | |||
97 | Parameters |
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98 | ---------- |
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99 | new_date : int or float |
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100 | New date for the Apex class |
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101 | |||
102 | """ |
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103 | # Evaluate the default initialization |
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104 | self.apex_out = apexpy.Apex() |
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105 | self.eval_date() |
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106 | self.eval_refh() |
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107 | |||
108 | # Update the epoch |
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109 | ref_apex = eval(self.apex_out.__repr__()) |
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110 | self.apex_out.set_epoch(new_date) |
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111 | assert ref_apex != self.apex_out |
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112 | self.test_date = new_date |
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113 | self.eval_date() |
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114 | return |
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115 | |||
116 | @pytest.mark.parametrize("in_refh", [0.0, 300.0, 30000.0, -1.0]) |
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117 | def test_init_refh(self, in_refh): |
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118 | """Test Apex class with reference height initialization. |
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119 | |||
120 | Parameters |
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121 | ---------- |
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122 | in_refh : float |
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123 | Input reference height in km |
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124 | |||
125 | """ |
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126 | self.test_refh = in_refh |
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127 | self.apex_out = apexpy.Apex(refh=self.test_refh) |
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128 | self.eval_date() |
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129 | self.eval_refh() |
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130 | return |
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131 | |||
132 | @pytest.mark.parametrize("new_refh", [0.0, 300.0, 30000.0, -1.0]) |
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133 | def test_set_refh(self, new_refh): |
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134 | """Test the method used to set the reference height after the init. |
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135 | |||
136 | Parameters |
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137 | ---------- |
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138 | new_refh : float |
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139 | Reference height in km |
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140 | |||
141 | """ |
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142 | # Verify the defaults are set |
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143 | self.apex_out = apexpy.Apex(date=self.test_date) |
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144 | self.eval_date() |
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145 | self.eval_refh() |
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146 | |||
147 | # Update to a new reference height and test |
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148 | ref_apex = eval(self.apex_out.__repr__()) |
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149 | self.apex_out.set_refh(new_refh) |
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150 | |||
151 | if self.test_refh == new_refh: |
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152 | assert ref_apex == self.apex_out |
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153 | else: |
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154 | assert ref_apex != self.apex_out |
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155 | self.test_refh = new_refh |
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156 | self.eval_refh() |
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157 | return |
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158 | |||
159 | def copy_file(self, original, max_attempts=100): |
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160 | """Make a temporary copy of input file.""" |
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161 | _, ext = os.path.splitext(original) |
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162 | self.temp_file = 'temp' + ext |
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163 | |||
164 | for _ in range(max_attempts): |
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165 | try: |
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166 | shutil.copy(original, self.temp_file) |
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167 | break |
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168 | except Exception: |
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169 | pass |
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170 | |||
171 | return self.temp_file |
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172 | |||
173 | def test_default_datafile(self): |
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174 | """Test that the class initializes with the default datafile.""" |
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175 | self.apex_out = apexpy.Apex() |
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176 | assert os.path.isfile(self.apex_out.datafile) |
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177 | return |
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178 | |||
179 | def test_custom_datafile(self): |
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180 | """Test that the class initializes with a good datafile input.""" |
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181 | |||
182 | # Get the original datafile name |
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183 | apex_out_orig = apexpy.Apex() |
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184 | original_file = apex_out_orig.datafile |
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185 | del apex_out_orig |
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186 | |||
187 | # Create copy of datafile |
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188 | custom_file = self.copy_file(original_file) |
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189 | |||
190 | apex_out = apexpy.Apex(datafile=custom_file) |
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191 | assert apex_out.datafile == custom_file |
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192 | |||
193 | os.remove(custom_file) |
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194 | return |
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195 | |||
196 | def test_init_with_bad_datafile(self): |
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197 | """Test raises IOError with non-existent datafile input.""" |
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198 | with pytest.raises(IOError) as oerr: |
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199 | apexpy.Apex(datafile=self.bad_file) |
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200 | assert str(oerr.value).startswith('Data file does not exist') |
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201 | return |
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202 | |||
203 | def test_default_fortranlib(self): |
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204 | """Test that the class initializes with the default fortranlib.""" |
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205 | apex_out = apexpy.Apex() |
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206 | assert os.path.isfile(apex_out.fortranlib) |
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207 | return |
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208 | |||
209 | def test_custom_fortranlib(self): |
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210 | """Test that the class initializes with a good fortranlib input.""" |
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211 | |||
212 | # Get the original fortranlib name |
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213 | apex_out_orig = apexpy.Apex() |
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214 | original_lib = apex_out_orig.fortranlib |
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215 | del apex_out_orig |
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216 | |||
217 | # Create copy of datafile |
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218 | custom_lib = self.copy_file(original_lib) |
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219 | |||
220 | apex_out = apexpy.Apex(fortranlib=custom_lib) |
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221 | assert apex_out.fortranlib == custom_lib |
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222 | |||
223 | os.remove(custom_lib) |
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224 | return |
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225 | |||
226 | def test_init_with_bad_fortranlib(self): |
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227 | """Test raises IOError with non-existent fortranlib input.""" |
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228 | with pytest.raises(IOError) as oerr: |
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229 | apexpy.Apex(fortranlib=self.bad_file) |
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230 | assert str(oerr.value).startswith('Fortran library does not exist') |
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231 | return |
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232 | |||
233 | def test_igrf_fn(self): |
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234 | """Test the default igrf_fn.""" |
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235 | apex_out = apexpy.Apex() |
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236 | assert os.path.isfile(apex_out.igrf_fn) |
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237 | return |
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238 | |||
239 | def test_repr_eval(self): |
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240 | """Test the Apex.__repr__ results.""" |
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241 | # Initialize the apex object |
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242 | self.apex_out = apexpy.Apex() |
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243 | self.eval_date() |
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244 | self.eval_refh() |
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245 | |||
246 | # Get and test the repr string |
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247 | out_str = self.apex_out.__repr__() |
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248 | assert out_str.find("apexpy.Apex(") == 0 |
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249 | |||
250 | # Test the ability to re-create the apex object from the repr string |
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251 | new_apex = eval(out_str) |
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252 | assert new_apex == self.apex_out |
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253 | return |
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254 | |||
255 | def test_ne_other_class(self): |
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256 | """Test Apex class inequality to a different class.""" |
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257 | self.apex_out = apexpy.Apex() |
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258 | self.eval_date() |
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259 | self.eval_refh() |
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260 | |||
261 | assert self.apex_out != self.test_date |
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262 | return |
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263 | |||
264 | def test_ne_missing_attr(self): |
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265 | """Test Apex class inequality when attributes are missing from one.""" |
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266 | self.apex_out = apexpy.Apex() |
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267 | self.eval_date() |
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268 | self.eval_refh() |
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269 | ref_apex = eval(self.apex_out.__repr__()) |
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270 | del ref_apex.RE |
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271 | |||
272 | assert ref_apex != self.apex_out |
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273 | assert self.apex_out != ref_apex |
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274 | return |
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275 | |||
276 | def test_eq_missing_attr(self): |
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277 | """Test Apex class equality when attributes are missing from both.""" |
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278 | self.apex_out = apexpy.Apex() |
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279 | self.eval_date() |
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280 | self.eval_refh() |
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281 | ref_apex = eval(self.apex_out.__repr__()) |
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282 | del ref_apex.RE, self.apex_out.RE |
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283 | |||
284 | assert ref_apex == self.apex_out |
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285 | return |
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286 | |||
287 | def test_str_eval(self): |
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288 | """Test the Apex.__str__ results.""" |
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289 | # Initialize the apex object |
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290 | self.apex_out = apexpy.Apex() |
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291 | self.eval_date() |
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292 | self.eval_refh() |
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293 | |||
294 | # Get and test the printed string |
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295 | out_str = self.apex_out.__str__() |
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296 | assert out_str.find("Decimal year") > 0 |
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297 | return |
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298 | |||
299 | |||
300 | class TestApexMethod(object): |
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301 | """Test the Apex methods.""" |
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302 | def setup_method(self): |
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303 | """Initialize all tests.""" |
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304 | self.apex_out = apexpy.Apex(date=2000, refh=300) |
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305 | self.in_lat = 60 |
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306 | self.in_lon = 15 |
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307 | self.in_alt = 100 |
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308 | |||
309 | def teardown_method(self): |
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310 | """Clean up after each test.""" |
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311 | del self.apex_out, self.in_lat, self.in_lon, self.in_alt |
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312 | |||
313 | def get_input_args(self, method_name, precision=0.0): |
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314 | """Set the input arguments for the different Apex methods. |
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315 | |||
316 | Parameters |
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317 | ---------- |
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318 | method_name : str |
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319 | Name of the Apex class method |
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320 | precision : float |
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321 | Value for the precision (default=0.0) |
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322 | |||
323 | Returns |
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324 | ------- |
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325 | in_args : list |
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326 | List of the appropriate input arguments |
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327 | |||
328 | """ |
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329 | in_args = [self.in_lat, self.in_lon, self.in_alt] |
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330 | |||
331 | # Add precision, if needed |
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332 | if method_name in ["_qd2geo", "apxq2g", "apex2geo", "qd2geo", |
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333 | "_apex2geo"]: |
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334 | in_args.append(precision) |
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335 | |||
336 | # Add a reference height, if needed |
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337 | if method_name in ["apxg2all"]: |
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338 | in_args.append(300) |
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339 | |||
340 | # Add a vector flag, if needed |
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341 | if method_name in ["apxg2all", "apxg2q"]: |
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342 | in_args.append(1) |
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343 | |||
344 | return in_args |
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345 | |||
346 | def test_apex_conversion_today(self): |
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347 | """Test Apex class conversion with today's date.""" |
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348 | self.apex_out = apexpy.Apex(date=dt.datetime.utcnow(), refh=300) |
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349 | assert not np.isnan(self.apex_out.geo2apex(self.in_lat, self.in_lon, |
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350 | self.in_alt)).any() |
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351 | return |
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352 | |||
353 | @pytest.mark.parametrize("apex_method,fortran_method,fslice", |
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354 | [("_geo2qd", "apxg2q", slice(0, 2, 1)), |
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355 | ("_geo2apex", "apxg2all", slice(2, 4, 1)), |
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356 | ("_qd2geo", "apxq2g", slice(None)), |
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357 | ("_basevec", "apxg2q", slice(2, 4, 1))]) |
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358 | @pytest.mark.parametrize("lat", [0, 30, 60, 89]) |
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359 | @pytest.mark.parametrize("lon", [-179, -90, 0, 90, 180]) |
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360 | def test_fortran_scalar_input(self, apex_method, fortran_method, fslice, |
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361 | lat, lon): |
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362 | """Tests Apex/fortran interface consistency for scalars. |
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363 | |||
364 | Parameters |
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365 | ---------- |
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366 | apex_method : str |
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367 | Name of the Apex class method to test |
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368 | fortran_method : str |
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369 | Name of the Fortran function to test |
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370 | fslice : slice |
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371 | Slice used select the appropriate Fortran outputs |
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372 | lat : int or float |
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373 | Latitude in degrees N |
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374 | lon : int or float |
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375 | Longitude in degrees E |
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376 | |||
377 | """ |
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378 | # Set the input coordinates |
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379 | self.in_lat = lat |
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380 | self.in_lon = lon |
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381 | |||
382 | # Get the Apex class method and the fortran function call |
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383 | apex_func = getattr(self.apex_out, apex_method) |
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384 | fortran_func = getattr(apexpy.fortranapex, fortran_method) |
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385 | |||
386 | # Get the appropriate input arguments |
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387 | apex_args = self.get_input_args(apex_method) |
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388 | fortran_args = self.get_input_args(fortran_method) |
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389 | |||
390 | # Evaluate the equivalent function calls |
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391 | np.testing.assert_allclose(apex_func(*apex_args), |
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392 | fortran_func(*fortran_args)[fslice]) |
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393 | return |
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394 | |||
395 | @pytest.mark.parametrize("apex_method,fortran_method,fslice", |
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396 | [("_geo2qd", "apxg2q", slice(0, 2, 1)), |
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397 | ("_geo2apex", "apxg2all", slice(2, 4, 1)), |
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398 | ("_qd2geo", "apxq2g", slice(None)), |
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399 | ("_basevec", "apxg2q", slice(2, 4, 1))]) |
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400 | @pytest.mark.parametrize("lat", [0, 30, 60, 89]) |
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401 | @pytest.mark.parametrize("lon1,lon2", [(180, 180), (-180, -180), |
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402 | (180, -180), (-180, 180), |
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403 | (-345, 15), (375, 15)]) |
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404 | def test_fortran_longitude_rollover(self, apex_method, fortran_method, |
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405 | fslice, lat, lon1, lon2): |
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406 | """Tests Apex/fortran interface consistency for longitude rollover. |
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407 | |||
408 | Parameters |
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409 | ---------- |
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410 | apex_method : str |
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411 | Name of the Apex class method to test |
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412 | fortran_method : str |
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413 | Name of the Fortran function to test |
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414 | fslice : slice |
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415 | Slice used select the appropriate Fortran outputs |
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416 | lat : int or float |
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417 | Latitude in degrees N |
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418 | lon1 : int or float |
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419 | Longitude in degrees E |
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420 | lon2 : int or float |
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421 | Equivalent longitude in degrees E |
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422 | |||
423 | """ |
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424 | # Set the fixed input coordinate |
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425 | self.in_lat = lat |
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426 | |||
427 | # Get the Apex class method and the fortran function call |
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428 | apex_func = getattr(self.apex_out, apex_method) |
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429 | fortran_func = getattr(apexpy.fortranapex, fortran_method) |
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430 | |||
431 | # Get the appropriate input arguments |
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432 | self.in_lon = lon1 |
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433 | apex_args = self.get_input_args(apex_method) |
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434 | |||
435 | self.in_lon = lon2 |
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436 | fortran_args = self.get_input_args(fortran_method) |
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437 | |||
438 | # Evaluate the equivalent function calls |
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439 | np.testing.assert_allclose(apex_func(*apex_args), |
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440 | fortran_func(*fortran_args)[fslice]) |
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441 | return |
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442 | |||
443 | @pytest.mark.parametrize("arr_shape", [(2, 2), (4,), (1, 4)]) |
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444 | @pytest.mark.parametrize("apex_method,fortran_method,fslice", |
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445 | [("_geo2qd", "apxg2q", slice(0, 2, 1)), |
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446 | ("_geo2apex", "apxg2all", slice(2, 4, 1)), |
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447 | ("_qd2geo", "apxq2g", slice(None)), |
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448 | ("_basevec", "apxg2q", slice(2, 4, 1))]) |
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449 | def test_fortran_array_input(self, arr_shape, apex_method, fortran_method, |
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450 | fslice): |
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451 | """Tests Apex/fortran interface consistency for array input. |
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452 | |||
453 | Parameters |
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454 | ---------- |
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455 | arr_shape : tuple |
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456 | Expected output shape |
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457 | apex_method : str |
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458 | Name of the Apex class method to test |
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459 | fortran_method : str |
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460 | Name of the Fortran function to test |
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461 | fslice : slice |
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462 | Slice used select the appropriate Fortran outputs |
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463 | |||
464 | """ |
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465 | # Get the Apex class method and the fortran function call |
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466 | apex_func = getattr(self.apex_out, apex_method) |
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467 | fortran_func = getattr(apexpy.fortranapex, fortran_method) |
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468 | |||
469 | # Set up the input arrays |
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470 | ref_lat = np.array([0, 30, 60, 90]) |
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471 | ref_alt = np.array([100, 200, 300, 400]) |
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472 | self.in_lat = ref_lat.reshape(arr_shape) |
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473 | self.in_alt = ref_alt.reshape(arr_shape) |
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474 | apex_args = self.get_input_args(apex_method) |
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475 | |||
476 | # Get the Apex class results |
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477 | aret = apex_func(*apex_args) |
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478 | |||
479 | # Get the fortran function results |
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480 | flats = list() |
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481 | flons = list() |
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482 | |||
483 | for i, lat in enumerate(ref_lat): |
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484 | self.in_lat = lat |
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485 | self.in_alt = ref_alt[i] |
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486 | fortran_args = self.get_input_args(fortran_method) |
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487 | fret = fortran_func(*fortran_args)[fslice] |
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488 | flats.append(fret[0]) |
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489 | flons.append(fret[1]) |
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490 | |||
491 | flats = np.array(flats) |
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492 | flons = np.array(flons) |
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493 | |||
494 | # Evaluate results |
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495 | try: |
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496 | # This returned value is array of floats |
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497 | np.testing.assert_allclose(aret[0].astype(float), |
||
498 | flats.reshape(arr_shape).astype(float)) |
||
499 | np.testing.assert_allclose(aret[1].astype(float), |
||
500 | flons.reshape(arr_shape).astype(float)) |
||
501 | except ValueError: |
||
502 | # This returned value is array of arrays |
||
503 | alats = aret[0].reshape((4,)) |
||
504 | alons = aret[1].reshape((4,)) |
||
505 | for i, flat in enumerate(flats): |
||
506 | np.testing.assert_array_almost_equal(alats[i], flat, 2) |
||
507 | np.testing.assert_array_almost_equal(alons[i], flons[i], 2) |
||
508 | |||
509 | return |
||
510 | |||
511 | @pytest.mark.parametrize("lat", [0, 30, 60, 89]) |
||
512 | @pytest.mark.parametrize("lon", [-179, -90, 0, 90, 180]) |
||
513 | def test_geo2apexall_scalar(self, lat, lon): |
||
514 | """Test Apex/fortran geo2apexall interface consistency for scalars. |
||
515 | |||
516 | Parameters |
||
517 | ---------- |
||
518 | lat : int or float |
||
519 | Latitude in degrees N |
||
520 | long : int or float |
||
521 | Longitude in degrees E |
||
522 | |||
523 | """ |
||
524 | # Get the Apex and Fortran results |
||
525 | aret = self.apex_out._geo2apexall(lat, lon, self.in_alt) |
||
526 | fret = apexpy.fortranapex.apxg2all(lat, lon, self.in_alt, 300, 1) |
||
527 | |||
528 | # Evaluate each element in the results |
||
529 | for aval, fval in zip(aret, fret): |
||
530 | np.testing.assert_allclose(aval, fval) |
||
531 | |||
532 | @pytest.mark.parametrize("arr_shape", [(2, 2), (4,), (1, 4)]) |
||
533 | def test_geo2apexall_array(self, arr_shape): |
||
534 | """Test Apex/fortran geo2apexall interface consistency for arrays. |
||
535 | |||
536 | Parameters |
||
537 | ---------- |
||
538 | arr_shape : tuple |
||
539 | Expected output shape |
||
540 | |||
541 | """ |
||
542 | # Set the input |
||
543 | self.in_lat = np.array([0, 30, 60, 90]) |
||
544 | self.in_alt = np.array([100, 200, 300, 400]) |
||
545 | |||
546 | # Get the Apex class results |
||
547 | aret = self.apex_out._geo2apexall(self.in_lat.reshape(arr_shape), |
||
548 | self.in_lon, |
||
549 | self.in_alt.reshape(arr_shape)) |
||
550 | |||
551 | # For each lat/alt pair, get the Fortran results |
||
552 | fret = list() |
||
553 | for i, lat in enumerate(self.in_lat): |
||
554 | fret.append(apexpy.fortranapex.apxg2all(lat, self.in_lon, |
||
555 | self.in_alt[i], 300, 1)) |
||
556 | |||
557 | # Cycle through all returned values |
||
558 | for i, ret in enumerate(aret): |
||
559 | try: |
||
560 | # This returned value is array of floats |
||
561 | fret_test = np.array([fret[0][i], fret[1][i], fret[2][i], |
||
562 | fret[3][i]]).reshape(arr_shape) |
||
563 | np.testing.assert_allclose(ret.astype(float), |
||
564 | fret_test.astype(float)) |
||
565 | except ValueError: |
||
566 | # This returned value is array of arrays |
||
567 | ret = ret.reshape((4,)) |
||
568 | for j, single_fret in enumerate(fret): |
||
569 | np.testing.assert_allclose(ret[j], single_fret[i]) |
||
570 | return |
||
571 | |||
572 | @pytest.mark.parametrize("in_coord", ["geo", "apex", "qd"]) |
||
573 | @pytest.mark.parametrize("out_coord", ["geo", "apex", "qd"]) |
||
574 | def test_convert_consistency(self, in_coord, out_coord): |
||
575 | """Test the self-consistency of the Apex convert method. |
||
576 | |||
577 | Parameters |
||
578 | ---------- |
||
579 | in_coord : str |
||
580 | Input coordinate system |
||
581 | out_coord : str |
||
582 | Output coordinate system |
||
583 | |||
584 | """ |
||
585 | if in_coord == out_coord: |
||
586 | pytest.skip("Test not needed for same src and dest coordinates") |
||
587 | |||
588 | # Define the method name |
||
589 | method_name = "2".join([in_coord, out_coord]) |
||
590 | |||
591 | # Get the method and method inputs |
||
592 | convert_kwargs = {'height': self.in_alt, 'precision': 0.0} |
||
593 | apex_args = self.get_input_args(method_name) |
||
594 | apex_method = getattr(self.apex_out, method_name) |
||
595 | |||
596 | # Define the slice needed to get equivalent output from the named method |
||
597 | mslice = slice(0, -1, 1) if out_coord == "geo" else slice(None) |
||
598 | |||
599 | # Get output using convert and named method |
||
600 | convert_out = self.apex_out.convert(self.in_lat, self.in_lon, in_coord, |
||
601 | out_coord, **convert_kwargs) |
||
602 | method_out = apex_method(*apex_args)[mslice] |
||
603 | |||
604 | # Compare both outputs, should be identical |
||
605 | np.testing.assert_allclose(convert_out, method_out) |
||
606 | return |
||
607 | |||
608 | @pytest.mark.parametrize("bound_lat", [90, -90]) |
||
609 | @pytest.mark.parametrize("in_coord", ["geo", "apex", "qd"]) |
||
610 | @pytest.mark.parametrize("out_coord", ["geo", "apex", "qd"]) |
||
611 | def test_convert_at_lat_boundary(self, bound_lat, in_coord, out_coord): |
||
612 | """Test the conversion at the latitude boundary, with allowed excess. |
||
613 | |||
614 | Parameters |
||
615 | ---------- |
||
616 | bound_lat : int or float |
||
617 | Boundary latitude in degrees N |
||
618 | in_coord : str |
||
619 | Input coordinate system |
||
620 | out_coord : str |
||
621 | Output coordinate system |
||
622 | |||
623 | """ |
||
624 | excess_lat = np.sign(bound_lat) * (abs(bound_lat) + 1.0e-5) |
||
625 | |||
626 | # Get the two outputs, slight tolerance outside of boundary allowed |
||
627 | bound_out = self.apex_out.convert(bound_lat, 0, in_coord, out_coord) |
||
628 | excess_out = self.apex_out.convert(excess_lat, 0, in_coord, out_coord) |
||
629 | |||
630 | # Test the outputs |
||
631 | np.testing.assert_allclose(excess_out, bound_out, rtol=0, atol=1e-8) |
||
632 | return |
||
633 | |||
634 | def test_convert_qd2apex_at_equator(self): |
||
635 | """Test the quasi-dipole to apex conversion at the magnetic equator.""" |
||
636 | eq_out = self.apex_out.convert(lat=0.0, lon=0, source='qd', dest='apex', |
||
637 | height=320.0) |
||
638 | close_out = self.apex_out.convert(lat=0.001, lon=0, source='qd', |
||
639 | dest='apex', height=320.0) |
||
640 | np.testing.assert_allclose(eq_out, close_out, atol=1e-4) |
||
641 | return |
||
642 | |||
643 | @pytest.mark.parametrize("src", ["geo", "apex", "qd"]) |
||
644 | @pytest.mark.parametrize("dest", ["geo", "apex", "qd"]) |
||
645 | def test_convert_withnan(self, src, dest): |
||
646 | """Test Apex.convert success with NaN input. |
||
647 | |||
648 | Parameters |
||
649 | ---------- |
||
650 | src : str |
||
651 | Input coordinate system |
||
652 | dest : str |
||
653 | Output coordinate system |
||
654 | |||
655 | """ |
||
656 | if src == dest: |
||
657 | pytest.skip("Test not needed for same src and dest coordinates") |
||
658 | |||
659 | num_nans = 5 |
||
660 | in_loc = np.arange(0, 10, dtype=float) |
||
661 | in_loc[:num_nans] = np.nan |
||
662 | |||
663 | out_loc = self.apex_out.convert(in_loc, in_loc, src, dest, height=320) |
||
664 | |||
665 | for out in out_loc: |
||
666 | assert np.all(np.isnan(out[:num_nans])), "NaN output expected" |
||
667 | assert np.all(np.isfinite(out[num_nans:])), "Finite output expected" |
||
668 | |||
669 | return |
||
670 | |||
671 | @pytest.mark.parametrize("bad_lat", [91, -91]) |
||
672 | def test_convert_invalid_lat(self, bad_lat): |
||
673 | """Test convert raises ValueError for invalid latitudes. |
||
674 | |||
675 | Parameters |
||
676 | ---------- |
||
677 | bad_lat : int or float |
||
678 | Latitude ouside the supported range in degrees N |
||
679 | |||
680 | """ |
||
681 | |||
682 | with pytest.raises(ValueError) as verr: |
||
683 | self.apex_out.convert(bad_lat, 0, 'geo', 'geo') |
||
684 | |||
685 | assert str(verr.value).find("must be in [-90, 90]") > 0 |
||
686 | return |
||
687 | |||
688 | @pytest.mark.parametrize("coords", [("foobar", "geo"), ("geo", "foobar"), |
||
689 | ("geo", "mlt")]) |
||
690 | def test_convert_invalid_transformation(self, coords): |
||
691 | """Test raises NotImplementedError for bad coordinates. |
||
692 | |||
693 | Parameters |
||
694 | ---------- |
||
695 | coords : tuple |
||
696 | Tuple specifying the input and output coordinate systems |
||
697 | |||
698 | """ |
||
699 | if "mlt" in coords: |
||
700 | estr = "datetime must be given for MLT calculations" |
||
701 | else: |
||
702 | estr = "Unknown coordinate transformation" |
||
703 | |||
704 | with pytest.raises(ValueError) as verr: |
||
705 | self.apex_out.convert(0, 0, *coords) |
||
706 | |||
707 | assert str(verr).find(estr) >= 0 |
||
708 | return |
||
709 | |||
710 | View Code Duplication | @pytest.mark.parametrize("method_name, out_comp", |
|
|
|||
711 | [("geo2apex", |
||
712 | (55.94841766357422, 94.10684204101562)), |
||
713 | ("apex2geo", |
||
714 | (51.476322174072266, -66.22817993164062, |
||
715 | 5.727287771151168e-06)), |
||
716 | ("geo2qd", |
||
717 | (56.531288146972656, 94.10684204101562)), |
||
718 | ("apex2qd", (60.498401178276744, 15.0)), |
||
719 | ("qd2apex", (59.49138097045895, 15.0))]) |
||
720 | def test_method_scalar_input(self, method_name, out_comp): |
||
721 | """Test the user method against set values with scalars. |
||
722 | |||
723 | Parameters |
||
724 | ---------- |
||
725 | method_name : str |
||
726 | Apex class method to be tested |
||
727 | out_comp : tuple of floats |
||
728 | Expected output values |
||
729 | |||
730 | """ |
||
731 | # Get the desired methods |
||
732 | user_method = getattr(self.apex_out, method_name) |
||
733 | |||
734 | # Get the user output |
||
735 | user_out = user_method(self.in_lat, self.in_lon, self.in_alt) |
||
736 | |||
737 | # Evaluate the user output |
||
738 | np.testing.assert_allclose(user_out, out_comp, rtol=1e-5, atol=1e-5) |
||
739 | |||
740 | for out_val in user_out: |
||
741 | assert np.asarray(out_val).shape == (), "output is not a scalar" |
||
742 | return |
||
743 | |||
744 | @pytest.mark.parametrize("in_coord", ["geo", "apex", "qd"]) |
||
745 | @pytest.mark.parametrize("out_coord", ["geo", "apex", "qd"]) |
||
746 | @pytest.mark.parametrize("method_args, out_shape", |
||
747 | [([[60, 60], 15, 100], (2,)), |
||
748 | ([60, [15, 15], 100], (2,)), |
||
749 | ([60, 15, [100, 100]], (2,)), |
||
750 | ([[50, 60], [15, 16], [100, 200]], (2,))]) |
||
751 | def test_method_broadcast_input(self, in_coord, out_coord, method_args, |
||
752 | out_shape): |
||
753 | """Test the user method with inputs that require some broadcasting. |
||
754 | |||
755 | Parameters |
||
756 | ---------- |
||
757 | in_coord : str |
||
758 | Input coordiante system |
||
759 | out_coord : str |
||
760 | Output coordiante system |
||
761 | method_args : list |
||
762 | List of input arguments |
||
763 | out_shape : tuple |
||
764 | Expected shape of output values |
||
765 | |||
766 | """ |
||
767 | if in_coord == out_coord: |
||
768 | pytest.skip("Test not needed for same src and dest coordinates") |
||
769 | |||
770 | # Get the desired methods |
||
771 | method_name = "2".join([in_coord, out_coord]) |
||
772 | user_method = getattr(self.apex_out, method_name) |
||
773 | |||
774 | # Get the user output |
||
775 | user_out = user_method(*method_args) |
||
776 | |||
777 | # Evaluate the user output |
||
778 | for out_val in user_out: |
||
779 | assert hasattr(out_val, 'shape'), "output coordinate isn't np.array" |
||
780 | assert out_val.shape == out_shape |
||
781 | return |
||
782 | |||
783 | @pytest.mark.parametrize("in_coord", ["geo", "apex", "qd"]) |
||
784 | @pytest.mark.parametrize("out_coord", ["geo", "apex", "qd"]) |
||
785 | @pytest.mark.parametrize("bad_lat", [91, -91]) |
||
786 | def test_method_invalid_lat(self, in_coord, out_coord, bad_lat): |
||
787 | """Test convert raises ValueError for invalid latitudes. |
||
788 | |||
789 | Parameters |
||
790 | ---------- |
||
791 | in_coord : str |
||
792 | Input coordiante system |
||
793 | out_coord : str |
||
794 | Output coordiante system |
||
795 | bad_lat : int |
||
796 | Latitude in degrees N that is out of bounds |
||
797 | |||
798 | """ |
||
799 | if in_coord == out_coord: |
||
800 | pytest.skip("Test not needed for same src and dest coordinates") |
||
801 | |||
802 | # Get the desired methods |
||
803 | method_name = "2".join([in_coord, out_coord]) |
||
804 | user_method = getattr(self.apex_out, method_name) |
||
805 | |||
806 | with pytest.raises(ValueError) as verr: |
||
807 | user_method(bad_lat, 15, 100) |
||
808 | |||
809 | assert str(verr.value).find("must be in [-90, 90]") > 0 |
||
810 | return |
||
811 | |||
812 | @pytest.mark.parametrize("in_coord", ["geo", "apex", "qd"]) |
||
813 | @pytest.mark.parametrize("out_coord", ["geo", "apex", "qd"]) |
||
814 | @pytest.mark.parametrize("bound_lat", [90, -90]) |
||
815 | def test_method_at_lat_boundary(self, in_coord, out_coord, bound_lat): |
||
816 | """Test user methods at the latitude boundary, with allowed excess. |
||
817 | |||
818 | Parameters |
||
819 | ---------- |
||
820 | in_coord : str |
||
821 | Input coordiante system |
||
822 | out_coord : str |
||
823 | Output coordiante system |
||
824 | bad_lat : int |
||
825 | Latitude in degrees N that is at the limits of the boundary |
||
826 | |||
827 | """ |
||
828 | if in_coord == out_coord: |
||
829 | pytest.skip("Test not needed for same src and dest coordinates") |
||
830 | |||
831 | # Get the desired methods |
||
832 | method_name = "2".join([in_coord, out_coord]) |
||
833 | user_method = getattr(self.apex_out, method_name) |
||
834 | |||
835 | # Get a latitude just beyond the limit |
||
836 | excess_lat = np.sign(bound_lat) * (abs(bound_lat) + 1.0e-5) |
||
837 | |||
838 | # Get the two outputs, slight tolerance outside of boundary allowed |
||
839 | bound_out = user_method(bound_lat, 0, 100) |
||
840 | excess_out = user_method(excess_lat, 0, 100) |
||
841 | |||
842 | # Test the outputs |
||
843 | np.testing.assert_allclose(excess_out, bound_out, rtol=0, atol=1e-8) |
||
844 | return |
||
845 | |||
846 | def test_geo2apex_undefined_warning(self): |
||
847 | """Test geo2apex warning and fill values for an undefined location.""" |
||
848 | |||
849 | # Update the apex object |
||
850 | self.apex_out = apexpy.Apex(date=2000, refh=10000) |
||
851 | |||
852 | # Get the output and the warnings |
||
853 | with warnings.catch_warnings(record=True) as warn_rec: |
||
854 | user_lat, user_lon = self.apex_out.geo2apex(0, 0, 0) |
||
855 | |||
856 | assert np.isnan(user_lat) |
||
857 | assert np.isfinite(user_lon) |
||
858 | assert len(warn_rec) == 1 |
||
859 | assert issubclass(warn_rec[-1].category, UserWarning) |
||
860 | assert 'latitude set to NaN where' in str(warn_rec[-1].message) |
||
861 | return |
||
862 | |||
863 | @pytest.mark.parametrize("method_name", ["apex2qd", "qd2apex"]) |
||
864 | @pytest.mark.parametrize("delta_h", [1.0e-6, -1.0e-6]) |
||
865 | def test_quasidipole_apexheight_close(self, method_name, delta_h): |
||
866 | """Test quasi-dipole success with a height close to the reference. |
||
867 | |||
868 | Parameters |
||
869 | ---------- |
||
870 | method_name : str |
||
871 | Apex class method name to be tested |
||
872 | delta_h : float |
||
873 | tolerance for height in km |
||
874 | |||
875 | """ |
||
876 | qd_method = getattr(self.apex_out, method_name) |
||
877 | in_args = [0, 15, self.apex_out.refh + delta_h] |
||
878 | out_coords = qd_method(*in_args) |
||
879 | |||
880 | for i, out_val in enumerate(out_coords): |
||
881 | np.testing.assert_almost_equal(out_val, in_args[i], decimal=3) |
||
882 | return |
||
883 | |||
884 | @pytest.mark.parametrize("method_name, hinc, msg", |
||
885 | [("apex2qd", 1.0, "is > apex height"), |
||
886 | ("qd2apex", -1.0, "is < reference height")]) |
||
887 | def test_quasidipole_raises_apexheight(self, method_name, hinc, msg): |
||
888 | """Quasi-dipole raises ApexHeightError when height above reference. |
||
889 | |||
890 | Parameters |
||
891 | ---------- |
||
892 | method_name : str |
||
893 | Apex class method name to be tested |
||
894 | hinc : float |
||
895 | Height increment in km |
||
896 | msg : str |
||
897 | Expected output message |
||
898 | |||
899 | """ |
||
900 | qd_method = getattr(self.apex_out, method_name) |
||
901 | |||
902 | with pytest.raises(apexpy.ApexHeightError) as aerr: |
||
903 | qd_method(0, 15, self.apex_out.refh + hinc) |
||
904 | |||
905 | assert str(aerr).find(msg) > 0 |
||
906 | return |
||
907 | |||
908 | |||
909 | class TestApexMLTMethods(object): |
||
910 | """Test the Apex Magnetic Local Time (MLT) methods.""" |
||
911 | def setup_method(self): |
||
912 | """Initialize all tests.""" |
||
913 | self.apex_out = apexpy.Apex(date=2000, refh=300) |
||
914 | self.in_time = dt.datetime(2000, 2, 3, 4, 5, 6) |
||
915 | |||
916 | def teardown_method(self): |
||
917 | """Clean up after each test.""" |
||
918 | del self.apex_out, self.in_time |
||
919 | |||
920 | @pytest.mark.parametrize("in_coord", ["geo", "apex", "qd"]) |
||
921 | def test_convert_to_mlt(self, in_coord): |
||
922 | """Test the conversions to MLT using Apex convert. |
||
923 | |||
924 | Parameters |
||
925 | ---------- |
||
926 | in_coord : str |
||
927 | Input coordinate system |
||
928 | |||
929 | """ |
||
930 | |||
931 | # Get the magnetic longitude from the appropriate method |
||
932 | if in_coord == "geo": |
||
933 | apex_method = getattr(self.apex_out, "{:s}2apex".format(in_coord)) |
||
934 | mlon = apex_method(60, 15, 100)[1] |
||
935 | else: |
||
936 | mlon = 15 |
||
937 | |||
938 | # Get the output MLT values |
||
939 | convert_mlt = self.apex_out.convert(60, 15, in_coord, 'mlt', |
||
940 | height=100, ssheight=2e5, |
||
941 | datetime=self.in_time)[1] |
||
942 | method_mlt = self.apex_out.mlon2mlt(mlon, self.in_time, ssheight=2e5) |
||
943 | |||
944 | # Test the outputs |
||
945 | np.testing.assert_allclose(convert_mlt, method_mlt) |
||
946 | return |
||
947 | |||
948 | @pytest.mark.parametrize("out_coord", ["geo", "apex", "qd"]) |
||
949 | def test_convert_mlt_to_lon(self, out_coord): |
||
950 | """Test the conversions from MLT using Apex convert. |
||
951 | |||
952 | Parameters |
||
953 | ---------- |
||
954 | out_coord : str |
||
955 | Output coordinate system |
||
956 | |||
957 | """ |
||
958 | # Get the output longitudes |
||
959 | convert_out = self.apex_out.convert(60, 15, 'mlt', out_coord, |
||
960 | height=100, ssheight=2e5, |
||
961 | datetime=self.in_time, |
||
962 | precision=1e-2) |
||
963 | mlon = self.apex_out.mlt2mlon(15, self.in_time, ssheight=2e5) |
||
964 | |||
965 | if out_coord == "geo": |
||
966 | method_out = self.apex_out.apex2geo(60, mlon, 100, |
||
967 | precision=1e-2)[:-1] |
||
968 | elif out_coord == "qd": |
||
969 | method_out = self.apex_out.apex2qd(60, mlon, 100) |
||
970 | else: |
||
971 | method_out = (60, mlon) |
||
972 | |||
973 | # Evaluate the outputs |
||
974 | np.testing.assert_allclose(convert_out, method_out) |
||
975 | return |
||
976 | |||
977 | def test_convert_geo2mlt_nodate(self): |
||
978 | """Test convert from geo to MLT raises ValueError with no datetime.""" |
||
979 | with pytest.raises(ValueError): |
||
980 | self.apex_out.convert(60, 15, 'geo', 'mlt') |
||
981 | return |
||
982 | |||
983 | @pytest.mark.parametrize("mlon_kwargs,test_mlt", |
||
984 | [({}, 23.019629923502603), |
||
985 | ({"ssheight": 100000}, 23.026712036132814)]) |
||
986 | def test_mlon2mlt_scalar_inputs(self, mlon_kwargs, test_mlt): |
||
987 | """Test mlon2mlt with scalar inputs. |
||
988 | |||
989 | Parameters |
||
990 | ---------- |
||
991 | mlon_kwargs : dict |
||
992 | Input kwargs |
||
993 | test_mlt : float |
||
994 | Output MLT in hours |
||
995 | |||
996 | """ |
||
997 | mlt = self.apex_out.mlon2mlt(0, self.in_time, **mlon_kwargs) |
||
998 | |||
999 | np.testing.assert_allclose(mlt, test_mlt) |
||
1000 | assert np.asarray(mlt).shape == () |
||
1001 | return |
||
1002 | |||
1003 | @pytest.mark.parametrize("mlt_kwargs,test_mlon", |
||
1004 | [({}, 14.705535888671875), |
||
1005 | ({"ssheight": 100000}, 14.599319458007812)]) |
||
1006 | def test_mlt2mlon_scalar_inputs(self, mlt_kwargs, test_mlon): |
||
1007 | """Test mlt2mlon with scalar inputs. |
||
1008 | |||
1009 | Parameters |
||
1010 | ---------- |
||
1011 | mlt_kwargs : dict |
||
1012 | Input kwargs |
||
1013 | test_mlon : float |
||
1014 | Output longitude in degrees E |
||
1015 | |||
1016 | """ |
||
1017 | mlon = self.apex_out.mlt2mlon(0, self.in_time, **mlt_kwargs) |
||
1018 | |||
1019 | np.testing.assert_allclose(mlon, test_mlon) |
||
1020 | assert np.asarray(mlon).shape == () |
||
1021 | return |
||
1022 | |||
1023 | @pytest.mark.parametrize("mlon,test_mlt", |
||
1024 | [([0, 180], [23.019261, 11.019261]), |
||
1025 | (np.array([0, 180]), [23.019261, 11.019261]), |
||
1026 | (np.array([[0], [180]]), |
||
1027 | np.array([[23.019261], [11.019261]])), |
||
1028 | ([[0, 180], [0, 180]], [[23.019261, 11.019261], |
||
1029 | [23.019261, 11.019261]]), |
||
1030 | (range(0, 361, 30), |
||
1031 | [23.01963, 1.01963, 3.01963, 5.01963, 7.01963, |
||
1032 | 9.01963, 11.01963, 13.01963, 15.01963, 17.01963, |
||
1033 | 19.01963, 21.01963, 23.01963])]) |
||
1034 | def test_mlon2mlt_array(self, mlon, test_mlt): |
||
1035 | """Test mlon2mlt with array inputs. |
||
1036 | |||
1037 | Parameters |
||
1038 | ---------- |
||
1039 | mlon : array-like |
||
1040 | Input longitudes in degrees E |
||
1041 | test_mlt : float |
||
1042 | Output MLT in hours |
||
1043 | |||
1044 | """ |
||
1045 | mlt = self.apex_out.mlon2mlt(mlon, self.in_time) |
||
1046 | |||
1047 | assert mlt.shape == np.asarray(test_mlt).shape |
||
1048 | np.testing.assert_allclose(mlt, test_mlt, rtol=1e-4) |
||
1049 | return |
||
1050 | |||
1051 | @pytest.mark.parametrize("mlt,test_mlon", |
||
1052 | [([0, 12], [14.705551, 194.705551]), |
||
1053 | (np.array([0, 12]), [14.705551, 194.705551]), |
||
1054 | (np.array([[0], [12]]), |
||
1055 | np.array([[14.705551], [194.705551]])), |
||
1056 | ([[0, 12], [0, 12]], [[14.705551, 194.705551], |
||
1057 | [14.705551, 194.705551]]), |
||
1058 | (range(0, 25, 2), |
||
1059 | [14.705551, 44.705551, 74.705551, 104.705551, |
||
1060 | 134.705551, 164.705551, 194.705551, 224.705551, |
||
1061 | 254.705551, 284.705551, 314.705551, 344.705551, |
||
1062 | 14.705551])]) |
||
1063 | def test_mlt2mlon_array(self, mlt, test_mlon): |
||
1064 | """Test mlt2mlon with array inputs. |
||
1065 | |||
1066 | Parameters |
||
1067 | ---------- |
||
1068 | mlt : array-like |
||
1069 | Input MLT in hours |
||
1070 | test_mlon : float |
||
1071 | Output longitude in degrees E |
||
1072 | |||
1073 | """ |
||
1074 | mlon = self.apex_out.mlt2mlon(mlt, self.in_time) |
||
1075 | |||
1076 | assert mlon.shape == np.asarray(test_mlon).shape |
||
1077 | np.testing.assert_allclose(mlon, test_mlon, rtol=1e-4) |
||
1078 | return |
||
1079 | |||
1080 | @pytest.mark.parametrize("method_name", ["mlon2mlt", "mlt2mlon"]) |
||
1081 | def test_mlon2mlt_diffdates(self, method_name): |
||
1082 | """Test that MLT varies with universal time. |
||
1083 | |||
1084 | Parameters |
||
1085 | ---------- |
||
1086 | method_name : str |
||
1087 | Name of Apex class method to be tested |
||
1088 | |||
1089 | """ |
||
1090 | apex_method = getattr(self.apex_out, method_name) |
||
1091 | mlt1 = apex_method(0, self.in_time) |
||
1092 | mlt2 = apex_method(0, self.in_time + dt.timedelta(hours=1)) |
||
1093 | |||
1094 | assert mlt1 != mlt2 |
||
1095 | return |
||
1096 | |||
1097 | @pytest.mark.parametrize("mlt_offset", [1.0, 10.0]) |
||
1098 | def test_mlon2mlt_offset(self, mlt_offset): |
||
1099 | """Test the time wrapping logic for the MLT. |
||
1100 | |||
1101 | Parameters |
||
1102 | ---------- |
||
1103 | mlt_offset : float |
||
1104 | MLT offset in hours |
||
1105 | |||
1106 | """ |
||
1107 | mlt1 = self.apex_out.mlon2mlt(0.0, self.in_time) |
||
1108 | mlt2 = self.apex_out.mlon2mlt(-15.0 * mlt_offset, |
||
1109 | self.in_time) + mlt_offset |
||
1110 | |||
1111 | np.testing.assert_allclose(mlt1, mlt2) |
||
1112 | return |
||
1113 | |||
1114 | @pytest.mark.parametrize("mlon_offset", [15.0, 150.0]) |
||
1115 | def test_mlt2mlon_offset(self, mlon_offset): |
||
1116 | """Test the time wrapping logic for the magnetic longitude. |
||
1117 | |||
1118 | Parameters |
||
1119 | ---------- |
||
1120 | mlt_offset : float |
||
1121 | MLT offset in hours |
||
1122 | |||
1123 | """ |
||
1124 | mlon1 = self.apex_out.mlt2mlon(0, self.in_time) |
||
1125 | mlon2 = self.apex_out.mlt2mlon(mlon_offset / 15.0, |
||
1126 | self.in_time) - mlon_offset |
||
1127 | |||
1128 | np.testing.assert_allclose(mlon1, mlon2) |
||
1129 | return |
||
1130 | |||
1131 | @pytest.mark.parametrize("order", [["mlt", "mlon"], ["mlon", "mlt"]]) |
||
1132 | @pytest.mark.parametrize("start_val", [0, 6, 12, 18, 22]) |
||
1133 | def test_convert_and_return(self, order, start_val): |
||
1134 | """Test the conversion to magnetic longitude or MLT and back again. |
||
1135 | |||
1136 | Parameters |
||
1137 | ---------- |
||
1138 | order : list |
||
1139 | List of strings specifying the order to run functions |
||
1140 | start_val : int or float |
||
1141 | Input value |
||
1142 | |||
1143 | """ |
||
1144 | first_method = getattr(self.apex_out, "2".join(order)) |
||
1145 | second_method = getattr(self.apex_out, "2".join([order[1], order[0]])) |
||
1146 | |||
1147 | middle_val = first_method(start_val, self.in_time) |
||
1148 | end_val = second_method(middle_val, self.in_time) |
||
1149 | |||
1150 | np.testing.assert_allclose(start_val, end_val) |
||
1151 | return |
||
1152 | |||
1153 | |||
1154 | class TestApexMapMethods(object): |
||
1155 | """Test the Apex height mapping methods.""" |
||
1156 | def setup_method(self): |
||
1157 | """Initialize all tests.""" |
||
1158 | self.apex_out = apexpy.Apex(date=2000, refh=300) |
||
1159 | |||
1160 | def teardown_method(self): |
||
1161 | """Clean up after each test.""" |
||
1162 | del self.apex_out |
||
1163 | |||
1164 | @pytest.mark.parametrize("in_args,test_mapped", |
||
1165 | [([60, 15, 100, 10000], |
||
1166 | [31.841466903686523, 17.916635513305664, |
||
1167 | 1.7075473124350538e-6]), |
||
1168 | ([30, 170, 100, 500, False, 1e-2], |
||
1169 | [25.727270126342773, 169.60546875, |
||
1170 | 0.00017573432705830783]), |
||
1171 | ([60, 15, 100, 10000, True], |
||
1172 | [-25.424888610839844, 27.310426712036133, |
||
1173 | 1.2074182222931995e-6]), |
||
1174 | ([30, 170, 100, 500, True, 1e-2], |
||
1175 | [-13.76642894744873, 164.24259948730469, |
||
1176 | 0.00056820799363777041])]) |
||
1177 | def test_map_to_height(self, in_args, test_mapped): |
||
1178 | """Test the map_to_height function. |
||
1179 | |||
1180 | Parameters |
||
1181 | ---------- |
||
1182 | in_args : list |
||
1183 | List of input arguments |
||
1184 | test_mapped : list |
||
1185 | List of expected outputs |
||
1186 | |||
1187 | """ |
||
1188 | mapped = self.apex_out.map_to_height(*in_args) |
||
1189 | np.testing.assert_allclose(mapped, test_mapped, rtol=1e-5, atol=1e-5) |
||
1190 | return |
||
1191 | |||
1192 | def test_map_to_height_same_height(self): |
||
1193 | """Test the map_to_height function when mapping to same height.""" |
||
1194 | mapped = self.apex_out.map_to_height(60, 15, 100, 100, conjugate=False, |
||
1195 | precision=1e-10) |
||
1196 | np.testing.assert_allclose(mapped, (60.0, 15.000003814697266, 0.0), |
||
1197 | rtol=1e-5, atol=1e-5) |
||
1198 | return |
||
1199 | |||
1200 | @pytest.mark.parametrize('arr_shape', [(2,), (2, 2), (1, 4)]) |
||
1201 | @pytest.mark.parametrize('ivec', range(0, 4)) |
||
1202 | def test_map_to_height_array_location(self, arr_shape, ivec): |
||
1203 | """Test map_to_height with array input. |
||
1204 | |||
1205 | Parameters |
||
1206 | ---------- |
||
1207 | arr_shape : tuple |
||
1208 | Expected array shape |
||
1209 | ivec : int |
||
1210 | Input argument index for vectorized input |
||
1211 | |||
1212 | """ |
||
1213 | # Set the base input and output values |
||
1214 | in_args = [60, 15, 100, 100] |
||
1215 | test_mapped = [60, 15.00000381, 0.0] |
||
1216 | |||
1217 | # Update inputs for one vectorized value |
||
1218 | in_args[ivec] = np.full(shape=arr_shape, fill_value=in_args[ivec]) |
||
1219 | |||
1220 | # Calculate and test function |
||
1221 | mapped = self.apex_out.map_to_height(*in_args) |
||
1222 | for i, test_val in enumerate(test_mapped): |
||
1223 | assert mapped[i].shape == arr_shape |
||
1224 | np.testing.assert_allclose(mapped[i], test_val, rtol=1e-5, |
||
1225 | atol=1e-5) |
||
1226 | return |
||
1227 | |||
1228 | @pytest.mark.parametrize("method_name,in_args", |
||
1229 | [("map_to_height", [0, 15, 100, 10000]), |
||
1230 | ("map_E_to_height", |
||
1231 | [0, 15, 100, 10000, [1, 2, 3]]), |
||
1232 | ("map_V_to_height", |
||
1233 | [0, 15, 100, 10000, [1, 2, 3]])]) |
||
1234 | def test_mapping_height_raises_ApexHeightError(self, method_name, in_args): |
||
1235 | """Test map_to_height raises ApexHeightError. |
||
1236 | |||
1237 | Parameters |
||
1238 | ---------- |
||
1239 | method_name : str |
||
1240 | Name of the Apex class method to test |
||
1241 | in_args : list |
||
1242 | List of input arguments |
||
1243 | |||
1244 | """ |
||
1245 | apex_method = getattr(self.apex_out, method_name) |
||
1246 | |||
1247 | with pytest.raises(apexpy.ApexHeightError) as aerr: |
||
1248 | apex_method(*in_args) |
||
1249 | |||
1250 | assert aerr.match("is > apex height") |
||
1251 | return |
||
1252 | |||
1253 | @pytest.mark.parametrize("method_name", |
||
1254 | ["map_E_to_height", "map_V_to_height"]) |
||
1255 | @pytest.mark.parametrize("ev_input", [([1, 2, 3, 4, 5]), |
||
1256 | ([[1, 2], [3, 4], [5, 6], [7, 8]])]) |
||
1257 | def test_mapping_EV_bad_shape(self, method_name, ev_input): |
||
1258 | """Test height mapping of E/V with baddly shaped input raises Error. |
||
1259 | |||
1260 | Parameters |
||
1261 | ---------- |
||
1262 | method_name : str |
||
1263 | Name of the Apex class method to test |
||
1264 | ev_input : list |
||
1265 | E/V input arguments |
||
1266 | |||
1267 | """ |
||
1268 | apex_method = getattr(self.apex_out, method_name) |
||
1269 | in_args = [60, 15, 100, 500, ev_input] |
||
1270 | with pytest.raises(ValueError) as verr: |
||
1271 | apex_method(*in_args) |
||
1272 | |||
1273 | assert str(verr.value).find("must be (3, N) or (3,) ndarray") >= 0 |
||
1274 | return |
||
1275 | |||
1276 | def test_mapping_EV_bad_flag(self): |
||
1277 | """Test _map_EV_to_height raises error for bad data type flag.""" |
||
1278 | with pytest.raises(ValueError) as verr: |
||
1279 | self.apex_out._map_EV_to_height(60, 15, 100, 500, [1, 2, 3], "P") |
||
1280 | |||
1281 | assert str(verr.value).find("unknown electric field/drift flag") >= 0 |
||
1282 | return |
||
1283 | |||
1284 | @pytest.mark.parametrize("in_args,test_mapped", |
||
1285 | [([60, 15, 100, 500, [1, 2, 3]], |
||
1286 | [0.71152183, 2.35624876, 0.57260784]), |
||
1287 | ([60, 15, 100, 500, [2, 3, 4]], |
||
1288 | [1.56028502, 3.43916636, 0.78235384]), |
||
1289 | ([60, 15, 100, 1000, [1, 2, 3]], |
||
1290 | [0.67796492, 2.08982134, 0.55860785]), |
||
1291 | ([60, 15, 200, 500, [1, 2, 3]], |
||
1292 | [0.72377397, 2.42737471, 0.59083726]), |
||
1293 | ([60, 30, 100, 500, [1, 2, 3]], |
||
1294 | [0.68626344, 2.37530133, 0.60060124]), |
||
1295 | ([70, 15, 100, 500, [1, 2, 3]], |
||
1296 | [0.72760378, 2.18082305, 0.29141979])]) |
||
1297 | def test_map_E_to_height_scalar_location(self, in_args, test_mapped): |
||
1298 | """Test mapping of E-field to a specified height. |
||
1299 | |||
1300 | Parameters |
||
1301 | ---------- |
||
1302 | in_args : list |
||
1303 | List of input arguments |
||
1304 | test_mapped : list |
||
1305 | List of expected outputs |
||
1306 | |||
1307 | """ |
||
1308 | mapped = self.apex_out.map_E_to_height(*in_args) |
||
1309 | np.testing.assert_allclose(mapped, test_mapped, rtol=1e-5) |
||
1310 | return |
||
1311 | |||
1312 | @pytest.mark.parametrize('ev_flag, test_mapped', |
||
1313 | [('E', [0.71152183, 2.35624876, 0.57260784]), |
||
1314 | ('V', [0.81971957, 2.84512495, 0.69545001])]) |
||
1315 | @pytest.mark.parametrize('arr_shape', [(2,), (5,)]) |
||
1316 | @pytest.mark.parametrize('ivec', range(0, 5)) |
||
1317 | def test_map_EV_to_height_array_location(self, ev_flag, test_mapped, |
||
1318 | arr_shape, ivec): |
||
1319 | """Test mapping of E-field/drift to a specified height with arrays. |
||
1320 | |||
1321 | Parameters |
||
1322 | ---------- |
||
1323 | ev_flag : str |
||
1324 | Character flag specifying whether to run 'E' or 'V' methods |
||
1325 | test_mapped : list |
||
1326 | List of expected outputs |
||
1327 | arr_shape : tuple |
||
1328 | Shape of the expected output |
||
1329 | ivec : int |
||
1330 | Index of the expected output |
||
1331 | |||
1332 | """ |
||
1333 | # Set the base input and output values |
||
1334 | eshape = list(arr_shape) |
||
1335 | eshape.insert(0, 3) |
||
1336 | edata = np.array([[1, 2, 3]] * np.product(arr_shape)).transpose() |
||
1337 | in_args = [60, 15, 100, 500, edata.reshape(tuple(eshape))] |
||
1338 | |||
1339 | # Update inputs for one vectorized value if this is a location input |
||
1340 | if ivec < 4: |
||
1341 | in_args[ivec] = np.full(shape=arr_shape, fill_value=in_args[ivec]) |
||
1342 | |||
1343 | # Get the mapped output |
||
1344 | apex_method = getattr(self.apex_out, |
||
1345 | "map_{:s}_to_height".format(ev_flag)) |
||
1346 | mapped = apex_method(*in_args) |
||
1347 | |||
1348 | # Test the results |
||
1349 | for i, test_val in enumerate(test_mapped): |
||
1350 | assert mapped[i].shape == arr_shape |
||
1351 | np.testing.assert_allclose(mapped[i], test_val, rtol=1e-5) |
||
1352 | return |
||
1353 | |||
1354 | @pytest.mark.parametrize("in_args,test_mapped", |
||
1355 | [([60, 15, 100, 500, [1, 2, 3]], |
||
1356 | [0.81971957, 2.84512495, 0.69545001]), |
||
1357 | ([60, 15, 100, 500, [2, 3, 4]], |
||
1358 | [1.83027746, 4.14346436, 0.94764179]), |
||
1359 | ([60, 15, 100, 1000, [1, 2, 3]], |
||
1360 | [0.92457698, 3.14997661, 0.85135187]), |
||
1361 | ([60, 15, 200, 500, [1, 2, 3]], |
||
1362 | [0.80388262, 2.79321504, 0.68285158]), |
||
1363 | ([60, 30, 100, 500, [1, 2, 3]], |
||
1364 | [0.76141245, 2.87884673, 0.73655941]), |
||
1365 | ([70, 15, 100, 500, [1, 2, 3]], |
||
1366 | [0.84681866, 2.5925821, 0.34792655])]) |
||
1367 | def test_map_V_to_height_scalar_location(self, in_args, test_mapped): |
||
1368 | """Test mapping of velocity to a specified height. |
||
1369 | |||
1370 | Parameters |
||
1371 | ---------- |
||
1372 | in_args : list |
||
1373 | List of input arguments |
||
1374 | test_mapped : list |
||
1375 | List of expected outputs |
||
1376 | |||
1377 | """ |
||
1378 | mapped = self.apex_out.map_V_to_height(*in_args) |
||
1379 | np.testing.assert_allclose(mapped, test_mapped, rtol=1e-5) |
||
1380 | return |
||
1381 | |||
1382 | |||
1383 | class TestApexBasevectorMethods(object): |
||
1384 | """Test the Apex height base vector methods.""" |
||
1385 | def setup_method(self): |
||
1386 | """Initialize all tests.""" |
||
1387 | self.apex_out = apexpy.Apex(date=2000, refh=300) |
||
1388 | self.lat = 60 |
||
1389 | self.lon = 15 |
||
1390 | self.height = 100 |
||
1391 | self.test_basevec = None |
||
1392 | |||
1393 | def teardown_method(self): |
||
1394 | """Clean up after each test.""" |
||
1395 | del self.apex_out, self.test_basevec, self.lat, self.lon, self.height |
||
1396 | |||
1397 | def get_comparison_results(self, bv_coord, coords, precision): |
||
1398 | """Get the base vector results using the hidden function for comparison. |
||
1399 | |||
1400 | Parameters |
||
1401 | ---------- |
||
1402 | bv_coord : str |
||
1403 | Basevector coordinate scheme, expects on of 'apex', 'qd', |
||
1404 | or 'bvectors_apex' |
||
1405 | coords : str |
||
1406 | Expects one of 'geo', 'apex', or 'qd' |
||
1407 | precision : float |
||
1408 | Float specifiying precision |
||
1409 | |||
1410 | """ |
||
1411 | if coords == "geo": |
||
1412 | glat = self.lat |
||
1413 | glon = self.lon |
||
1414 | else: |
||
1415 | apex_method = getattr(self.apex_out, "{:s}2geo".format(coords)) |
||
1416 | glat, glon, _ = apex_method(self.lat, self.lon, self.height, |
||
1417 | precision=precision) |
||
1418 | |||
1419 | if bv_coord == 'qd': |
||
1420 | self.test_basevec = self.apex_out._basevec(glat, glon, self.height) |
||
1421 | elif bv_coord == 'apex': |
||
1422 | (_, _, _, _, f1, f2, _, d1, d2, d3, _, e1, e2, |
||
1423 | e3) = self.apex_out._geo2apexall(glat, glon, 100) |
||
1424 | self.test_basevec = (f1, f2, d1, d2, d3, e1, e2, e3) |
||
1425 | else: |
||
1426 | # These are set results that need to be updated with IGRF |
||
1427 | if coords == "geo": |
||
1428 | self.test_basevec = ( |
||
1429 | np.array([4.42368795e-05, 4.42368795e-05]), |
||
1430 | np.array([[0.01047826, 0.01047826], |
||
1431 | [0.33089194, 0.33089194], |
||
1432 | [-1.04941, -1.04941]]), |
||
1433 | np.array([5.3564698e-05, 5.3564698e-05]), |
||
1434 | np.array([[0.00865356, 0.00865356], |
||
1435 | [0.27327004, 0.27327004], |
||
1436 | [-0.8666646, -0.8666646]])) |
||
1437 | elif coords == "apex": |
||
1438 | self.test_basevec = ( |
||
1439 | np.array([4.48672735e-05, 4.48672735e-05]), |
||
1440 | np.array([[-0.12510721, -0.12510721], |
||
1441 | [0.28945938, 0.28945938], |
||
1442 | [-1.1505738, -1.1505738]]), |
||
1443 | np.array([6.38577444e-05, 6.38577444e-05]), |
||
1444 | np.array([[-0.08790194, -0.08790194], |
||
1445 | [0.2033779, 0.2033779], |
||
1446 | [-0.808408, -0.808408]])) |
||
1447 | else: |
||
1448 | self.test_basevec = ( |
||
1449 | np.array([4.46348578e-05, 4.46348578e-05]), |
||
1450 | np.array([[-0.12642345, -0.12642345], |
||
1451 | [0.29695055, 0.29695055], |
||
1452 | [-1.1517885, -1.1517885]]), |
||
1453 | np.array([6.38626285e-05, 6.38626285e-05]), |
||
1454 | np.array([[-0.08835986, -0.08835986], |
||
1455 | [0.20754464, 0.20754464], |
||
1456 | [-0.8050078, -0.8050078]])) |
||
1457 | |||
1458 | return |
||
1459 | |||
1460 | @pytest.mark.parametrize("bv_coord", ["qd", "apex"]) |
||
1461 | @pytest.mark.parametrize("coords,precision", |
||
1462 | [("geo", 1e-10), ("apex", 1.0e-2), ("qd", 1.0e-2)]) |
||
1463 | def test_basevectors_scalar(self, bv_coord, coords, precision): |
||
1464 | """Test the base vector calculations with scalars. |
||
1465 | |||
1466 | Parameters |
||
1467 | ---------- |
||
1468 | bv_coord : str |
||
1469 | Name of the input coordinate system |
||
1470 | coords : str |
||
1471 | Name of the output coordinate system |
||
1472 | precision : float |
||
1473 | Level of run precision requested |
||
1474 | |||
1475 | """ |
||
1476 | # Get the base vectors |
||
1477 | base_method = getattr(self.apex_out, |
||
1478 | "basevectors_{:s}".format(bv_coord)) |
||
1479 | basevec = base_method(self.lat, self.lon, self.height, coords=coords, |
||
1480 | precision=precision) |
||
1481 | self.get_comparison_results(bv_coord, coords, precision) |
||
1482 | if bv_coord == "apex": |
||
1483 | basevec = list(basevec) |
||
1484 | for i in range(4): |
||
1485 | # Not able to compare indices 2, 3, 4, and 5 |
||
1486 | basevec.pop(2) |
||
1487 | |||
1488 | # Test the results |
||
1489 | for i, vec in enumerate(basevec): |
||
1490 | np.testing.assert_allclose(vec, self.test_basevec[i]) |
||
1491 | return |
||
1492 | |||
1493 | @pytest.mark.parametrize("bv_coord", ["qd", "apex"]) |
||
1494 | def test_basevectors_scalar_shape(self, bv_coord): |
||
1495 | """Test the shape of the scalar output. |
||
1496 | |||
1497 | Parameters |
||
1498 | ---------- |
||
1499 | bv_coord : str |
||
1500 | Name of the input coordinate system |
||
1501 | |||
1502 | """ |
||
1503 | base_method = getattr(self.apex_out, |
||
1504 | "basevectors_{:s}".format(bv_coord)) |
||
1505 | basevec = base_method(self.lat, self.lon, self.height) |
||
1506 | |||
1507 | for i, vec in enumerate(basevec): |
||
1508 | if i < 2: |
||
1509 | assert vec.shape == (2,) |
||
1510 | else: |
||
1511 | assert vec.shape == (3,) |
||
1512 | return |
||
1513 | |||
1514 | @pytest.mark.parametrize('arr_shape', [(2,), (5,)]) |
||
1515 | @pytest.mark.parametrize("bv_coord", ["qd", "apex"]) |
||
1516 | @pytest.mark.parametrize("ivec", range(3)) |
||
1517 | def test_basevectors_array(self, arr_shape, bv_coord, ivec): |
||
1518 | """Test the output shape for array inputs. |
||
1519 | |||
1520 | Parameters |
||
1521 | ---------- |
||
1522 | arr_shape : tuple |
||
1523 | Expected output shape |
||
1524 | bv_coord : str |
||
1525 | Name of the input coordinate system |
||
1526 | ivec : int |
||
1527 | Index of the evaluated output value |
||
1528 | |||
1529 | """ |
||
1530 | # Define the input arguments |
||
1531 | in_args = [self.lat, self.lon, self.height] |
||
1532 | in_args[ivec] = np.full(shape=arr_shape, fill_value=in_args[ivec]) |
||
1533 | |||
1534 | # Get the basevectors |
||
1535 | base_method = getattr(self.apex_out, |
||
1536 | "basevectors_{:s}".format(bv_coord)) |
||
1537 | basevec = base_method(*in_args, coords='geo', precision=1e-10) |
||
1538 | self.get_comparison_results(bv_coord, "geo", 1e-10) |
||
1539 | if bv_coord == "apex": |
||
1540 | basevec = list(basevec) |
||
1541 | for i in range(4): |
||
1542 | # Not able to compare indices 2, 3, 4, and 5 |
||
1543 | basevec.pop(2) |
||
1544 | |||
1545 | # Evaluate the shape and the values |
||
1546 | for i, vec in enumerate(basevec): |
||
1547 | test_shape = list(arr_shape) |
||
1548 | test_shape.insert(0, 2 if i < 2 else 3) |
||
1549 | assert vec.shape == tuple(test_shape) |
||
1550 | assert np.all(self.test_basevec[i][0] == vec[0]) |
||
1551 | assert np.all(self.test_basevec[i][1] == vec[1]) |
||
1552 | return |
||
1553 | |||
1554 | @pytest.mark.parametrize("coords", ["geo", "apex", "qd"]) |
||
1555 | def test_bvectors_apex(self, coords): |
||
1556 | """Test the bvectors_apex method. |
||
1557 | |||
1558 | Parameters |
||
1559 | ---------- |
||
1560 | coords : str |
||
1561 | Name of the coordiante system |
||
1562 | |||
1563 | """ |
||
1564 | in_args = [[self.lat, self.lat], [self.lon, self.lon], |
||
1565 | [self.height, self.height]] |
||
1566 | self.get_comparison_results("bvectors_apex", coords, 1e-10) |
||
1567 | |||
1568 | basevec = self.apex_out.bvectors_apex(*in_args, coords=coords, |
||
1569 | precision=1e-10) |
||
1570 | for i, vec in enumerate(basevec): |
||
1571 | np.testing.assert_array_almost_equal(vec, self.test_basevec[i], |
||
1572 | decimal=5) |
||
1573 | return |
||
1574 | |||
1575 | def test_basevectors_apex_extra_values(self): |
||
1576 | """Test specific values in the apex base vector output.""" |
||
1577 | # Set the testing arrays |
||
1578 | self.test_basevec = [np.array([0.092637, -0.245951, 0.938848]), |
||
1579 | np.array([0.939012, 0.073416, -0.07342]), |
||
1580 | np.array([0.055389, 1.004155, 0.257594]), |
||
1581 | np.array([0, 0, 1.065135])] |
||
1582 | |||
1583 | # Get the desired output |
||
1584 | basevec = self.apex_out.basevectors_apex(0, 15, 100, coords='geo') |
||
1585 | |||
1586 | # Test the values not covered by `test_basevectors_scalar` |
||
1587 | for itest, ibase in enumerate(np.arange(2, 6, 1)): |
||
1588 | np.testing.assert_allclose(basevec[ibase], |
||
1589 | self.test_basevec[itest], rtol=1e-4) |
||
1590 | return |
||
1591 | |||
1592 | @pytest.mark.parametrize("lat", range(0, 90, 10)) |
||
1593 | @pytest.mark.parametrize("lon", range(0, 360, 15)) |
||
1594 | def test_basevectors_apex_delta(self, lat, lon): |
||
1595 | """Test that vectors are calculated correctly. |
||
1596 | |||
1597 | Parameters |
||
1598 | ---------- |
||
1599 | lat : int or float |
||
1600 | Latitude in degrees N |
||
1601 | lon : int or float |
||
1602 | Longitude in degrees E |
||
1603 | |||
1604 | """ |
||
1605 | # Get the apex base vectors and sort them for easy testing |
||
1606 | (f1, f2, f3, g1, g2, g3, d1, d2, d3, e1, e2, |
||
1607 | e3) = self.apex_out.basevectors_apex(lat, lon, 500) |
||
1608 | fvec = [np.append(f1, 0), np.append(f2, 0), f3] |
||
1609 | gvec = [g1, g2, g3] |
||
1610 | dvec = [d1, d2, d3] |
||
1611 | evec = [e1, e2, e3] |
||
1612 | |||
1613 | for idelta, jdelta in [(i, j) for i in range(3) for j in range(3)]: |
||
1614 | delta = 1 if idelta == jdelta else 0 |
||
1615 | np.testing.assert_allclose(np.sum(fvec[idelta] * gvec[jdelta]), |
||
1616 | delta, rtol=0, atol=1e-5) |
||
1617 | np.testing.assert_allclose(np.sum(dvec[idelta] * evec[jdelta]), |
||
1618 | delta, rtol=0, atol=1e-5) |
||
1619 | return |
||
1620 | |||
1621 | def test_basevectors_apex_invalid_scalar(self): |
||
1622 | """Test warning and fill values for base vectors with bad inputs.""" |
||
1623 | self.apex_out = apexpy.Apex(date=2000, refh=10000) |
||
1624 | invalid = np.full(shape=(3,), fill_value=np.nan) |
||
1625 | |||
1626 | # Get the output and the warnings |
||
1627 | with warnings.catch_warnings(record=True) as warn_rec: |
||
1628 | basevec = self.apex_out.basevectors_apex(0, 0, 0) |
||
1629 | |||
1630 | for i, bvec in enumerate(basevec): |
||
1631 | if i < 2: |
||
1632 | assert not np.allclose(bvec, invalid[:2]) |
||
1633 | else: |
||
1634 | np.testing.assert_allclose(bvec, invalid) |
||
1635 | |||
1636 | assert issubclass(warn_rec[-1].category, UserWarning) |
||
1637 | assert 'set to NaN where' in str(warn_rec[-1].message) |
||
1638 | return |
||
1639 | |||
1640 | |||
1641 | class TestApexGetMethods(object): |
||
1642 | """Test the Apex `get` methods.""" |
||
1643 | def setup_method(self): |
||
1644 | """Initialize all tests.""" |
||
1645 | self.apex_out = apexpy.Apex(date=2000, refh=300) |
||
1646 | |||
1647 | def teardown_method(self): |
||
1648 | """Clean up after each test.""" |
||
1649 | del self.apex_out |
||
1650 | |||
1651 | @pytest.mark.parametrize("alat, aheight", |
||
1652 | [(10, 507.409702543805), |
||
1653 | (60, 20313.026999999987), |
||
1654 | ([10, 60], |
||
1655 | [507.409702543805, 20313.026999999987]), |
||
1656 | ([[10], [60]], |
||
1657 | [[507.409702543805], [20313.026999999987]])]) |
||
1658 | def test_get_apex(self, alat, aheight): |
||
1659 | """Test the apex height retrieval results. |
||
1660 | |||
1661 | Parameters |
||
1662 | ---------- |
||
1663 | alat : int or float |
||
1664 | Apex latitude in degrees N |
||
1665 | aheight : int or float |
||
1666 | Apex height in km |
||
1667 | |||
1668 | """ |
||
1669 | alt = self.apex_out.get_apex(alat) |
||
1670 | np.testing.assert_allclose(alt, aheight) |
||
1671 | return |
||
1672 | |||
1673 | @pytest.mark.parametrize("glat,glon,height,test_bmag", |
||
1674 | [([80], [100], [300], 5.100682377815247e-05), |
||
1675 | ([80, 80], [100], [300], |
||
1676 | [5.100682377815247e-05, 5.100682377815247e-05]), |
||
1677 | ([[80], [80]], [100], [300], |
||
1678 | [[5.100682377815247e-05], |
||
1679 | [5.100682377815247e-05]]), |
||
1680 | (range(50, 90, 8), range(0, 360, 80), [300] * 5, |
||
1681 | np.array([4.18657154e-05, 5.11118114e-05, |
||
1682 | 4.91969854e-05, 5.10519207e-05, |
||
1683 | 4.90054816e-05])), |
||
1684 | (90.0, 0, 1000, 3.7834718823432923e-05)]) |
||
1685 | def test_get_babs(self, glat, glon, height, test_bmag): |
||
1686 | """Test the method to get the magnitude of the magnetic field. |
||
1687 | |||
1688 | Parameters |
||
1689 | ---------- |
||
1690 | glat : list |
||
1691 | List of latitudes in degrees N |
||
1692 | glon : list |
||
1693 | List of longitudes in degrees E |
||
1694 | height : list |
||
1695 | List of heights in km |
||
1696 | test_bmag : float |
||
1697 | Expected B field magnitude |
||
1698 | |||
1699 | """ |
||
1700 | bmag = self.apex_out.get_babs(glat, glon, height) |
||
1701 | np.testing.assert_allclose(bmag, test_bmag, rtol=0, atol=1e-5) |
||
1702 | return |
||
1703 | |||
1704 | @pytest.mark.parametrize("bad_lat", [(91), (-91)]) |
||
1705 | def test_get_apex_with_invalid_lat(self, bad_lat): |
||
1706 | """Test get methods raise ValueError for invalid latitudes. |
||
1707 | |||
1708 | Parameters |
||
1709 | ---------- |
||
1710 | bad_lat : int or float |
||
1711 | Bad input latitude in degrees N |
||
1712 | |||
1713 | """ |
||
1714 | |||
1715 | with pytest.raises(ValueError) as verr: |
||
1716 | self.apex_out.get_apex(bad_lat) |
||
1717 | |||
1718 | assert str(verr.value).find("must be in [-90, 90]") > 0 |
||
1719 | return |
||
1720 | |||
1721 | @pytest.mark.parametrize("bad_lat", [(91), (-91)]) |
||
1722 | def test_get_babs_with_invalid_lat(self, bad_lat): |
||
1723 | """Test get methods raise ValueError for invalid latitudes. |
||
1724 | |||
1725 | Parameters |
||
1726 | ---------- |
||
1727 | bad_lat : int or float |
||
1728 | Bad input latitude in degrees N |
||
1729 | |||
1730 | """ |
||
1731 | |||
1732 | with pytest.raises(ValueError) as verr: |
||
1733 | self.apex_out.get_babs(bad_lat, 15, 100) |
||
1734 | |||
1735 | assert str(verr.value).find("must be in [-90, 90]") > 0 |
||
1736 | return |
||
1737 | |||
1738 | @pytest.mark.parametrize("bound_lat", [(90), (-90)]) |
||
1739 | def test_get_at_lat_boundary(self, bound_lat): |
||
1740 | """Test get methods at the latitude boundary, with allowed excess. |
||
1741 | |||
1742 | Parameters |
||
1743 | ---------- |
||
1744 | bound_lat : int or float |
||
1745 | Boundary input latitude in degrees N |
||
1746 | |||
1747 | """ |
||
1748 | # Get a latitude just beyond the limit |
||
1749 | excess_lat = np.sign(bound_lat) * (abs(bound_lat) + 1.0e-5) |
||
1750 | |||
1751 | # Get the two outputs, slight tolerance outside of boundary allowed |
||
1752 | bound_out = self.apex_out.get_apex(bound_lat) |
||
1753 | excess_out = self.apex_out.get_apex(excess_lat) |
||
1754 | |||
1755 | # Test the outputs |
||
1756 | np.testing.assert_allclose(excess_out, bound_out, rtol=0, atol=1e-8) |
||
1757 | return |
||
1758 | |||
1759 | @pytest.mark.parametrize("apex_height", [-100, 0, 300, 10000]) |
||
1760 | def test_get_height_at_equator(self, apex_height): |
||
1761 | """Test that `get_height` returns apex height at equator. |
||
1762 | |||
1763 | Parameters |
||
1764 | ---------- |
||
1765 | apex_height : float |
||
1766 | Apex height |
||
1767 | |||
1768 | """ |
||
1769 | |||
1770 | assert apex_height == self.apex_out.get_height(0.0, apex_height) |
||
1771 | return |
||
1772 | |||
1773 | @pytest.mark.parametrize("lat, height", [ |
||
1774 | (-90, -6371.009), (-80, -6088.438503309167), (-70, -5274.8091854339655), |
||
1775 | (-60, -4028.256749999999), (-50, -2499.1338178752017), |
||
1776 | (-40, -871.8751821247979), (-30, 657.2477500000014), |
||
1777 | (-20, 1903.8001854339655), (-10, 2717.4295033091657), (0, 3000.0), |
||
1778 | (10, 2717.4295033091657), (20, 1903.8001854339655), |
||
1779 | (30, 657.2477500000014), (40, -871.8751821247979), |
||
1780 | (50, -2499.1338178752017), (60, -4028.256749999999), |
||
1781 | (70, -5274.8091854339655), (80, -6088.438503309167)]) |
||
1782 | def test_get_height_along_fieldline(self, lat, height): |
||
1783 | """Test that `get_height` returns expected height of field line. |
||
1784 | |||
1785 | Parameters |
||
1786 | ---------- |
||
1787 | lat : float |
||
1788 | Input latitude |
||
1789 | height : float |
||
1790 | Output field-line height for line with apex of 3000 km |
||
1791 | |||
1792 | """ |
||
1793 | |||
1794 | fheight = self.apex_out.get_height(lat, 3000.0) |
||
1795 | assert abs(height - fheight) < 1.0e-7, \ |
||
1796 | "bad height calculation: {:.7f} != {:.7f}".format(height, fheight) |
||
1797 | return |
||
1798 | |||
1799 | |||
1800 | class TestApexMethodExtrapolateIGRF(object): |
||
1801 | """Test the Apex methods on a year when IGRF must be extrapolated. |
||
1802 | |||
1803 | Notes |
||
1804 | ----- |
||
1805 | Extrapolation should be done using a year within 5 years of the latest IGRF |
||
1806 | model epoch. |
||
1807 | |||
1808 | """ |
||
1809 | |||
1810 | def setup_method(self): |
||
1811 | """Initialize all tests.""" |
||
1812 | self.apex_out = apexpy.Apex(date=2025, refh=300) |
||
1813 | self.in_lat = 60 |
||
1814 | self.in_lon = 15 |
||
1815 | self.in_alt = 100 |
||
1816 | self.in_time = dt.datetime(2024, 2, 3, 4, 5, 6) |
||
1817 | return |
||
1818 | |||
1819 | def teardown_method(self): |
||
1820 | """Clean up after each test.""" |
||
1821 | del self.apex_out, self.in_lat, self.in_lon, self.in_alt |
||
1822 | return |
||
1823 | |||
1824 | View Code Duplication | @pytest.mark.parametrize("method_name, out_comp", |
|
1825 | [("geo2apex", |
||
1826 | (56.25343704223633, 92.04932403564453)), |
||
1827 | ("apex2geo", |
||
1828 | (53.84184265136719, -66.93045806884766, |
||
1829 | 3.6222547805664362e-06)), |
||
1830 | ("geo2qd", |
||
1831 | (56.82968521118164, 92.04932403564453)), |
||
1832 | ("apex2qd", (60.498401178276744, 15.0)), |
||
1833 | ("qd2apex", (59.49138097045895, 15.0))]) |
||
1834 | def test_method_scalar_input(self, method_name, out_comp): |
||
1835 | """Test the user method against set values with scalars. |
||
1836 | |||
1837 | Parameters |
||
1838 | ---------- |
||
1839 | method_name : str |
||
1840 | Apex class method to be tested |
||
1841 | out_comp : tuple of floats |
||
1842 | Expected output values |
||
1843 | |||
1844 | """ |
||
1845 | # Get the desired methods |
||
1846 | user_method = getattr(self.apex_out, method_name) |
||
1847 | |||
1848 | # Get the user output |
||
1849 | user_out = user_method(self.in_lat, self.in_lon, self.in_alt) |
||
1850 | |||
1851 | # Evaluate the user output |
||
1852 | np.testing.assert_allclose(user_out, out_comp, rtol=1e-5, atol=1e-5) |
||
1853 | |||
1854 | for out_val in user_out: |
||
1855 | assert np.asarray(out_val).shape == (), "output is not a scalar" |
||
1856 | return |
||
1857 | |||
1858 | def test_convert_to_mlt(self): |
||
1859 | """Test conversion from mlon to mlt with scalars.""" |
||
1860 | |||
1861 | # Get user output |
||
1862 | user_out = self.apex_out.mlon2mlt(self.in_lon, self.in_time) |
||
1863 | |||
1864 | # Set comparison values |
||
1865 | out_comp = 23.955474853515625 |
||
1866 | |||
1867 | # Evaluate user output |
||
1868 | np.testing.assert_allclose(user_out, out_comp, rtol=1e-5, atol=1e-5) |
||
1869 | return |
||
1870 |