aburrell /
apexpy
| Total Complexity | 143 |
| Total Lines | 1223 |
| Duplicated Lines | 2.94 % |
| 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 warnings |
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| 20 | |||
| 21 | import apexpy |
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| 22 | |||
| 23 | |||
| 24 | @pytest.fixture() |
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| 25 | def igrf_file(): |
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| 26 | """A fixture for handling the coefficient file.""" |
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| 27 | # Ensure the coefficient file exists |
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| 28 | original_file = os.path.join(os.path.dirname(apexpy.helpers.__file__), |
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| 29 | 'igrf13coeffs.txt') |
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| 30 | tmp_file = "temp_coeff.txt" |
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| 31 | assert os.path.isfile(original_file) |
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| 32 | |||
| 33 | # Move the coefficient file |
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| 34 | os.rename(original_file, tmp_file) |
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| 35 | yield original_file |
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| 36 | |||
| 37 | # Move the coefficient file back |
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| 38 | os.rename(tmp_file, original_file) |
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| 39 | return |
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| 40 | |||
| 41 | |||
| 42 | def test_set_epoch_file_error(igrf_file): |
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| 43 | """Test raises OSError when IGRF coefficient file is missing.""" |
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| 44 | # Test missing coefficient file failure |
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| 45 | with pytest.raises(OSError) as oerr: |
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| 46 | apexpy.Apex() |
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| 47 | error_string = "File {:} does not exist".format(igrf_file) |
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| 48 | assert str(oerr.value).startswith(error_string) |
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| 49 | return |
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| 50 | |||
| 51 | |||
| 52 | class TestApexInit(): |
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| 53 | def setup(self): |
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| 54 | self.apex_out = None |
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| 55 | self.test_date = dt.datetime.utcnow() |
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| 56 | self.test_refh = 0 |
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| 57 | self.bad_file = 'foo/path/to/datafile.blah' |
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| 58 | |||
| 59 | def teardown(self): |
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| 60 | del self.apex_out, self.test_date, self.test_refh, self.bad_file |
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| 61 | |||
| 62 | def eval_date(self): |
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| 63 | """Evaluate the times in self.test_date and self.apex_out.""" |
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| 64 | if isinstance(self.test_date, dt.datetime) \ |
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| 65 | or isinstance(self.test_date, dt.date): |
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| 66 | self.test_date = apexpy.helpers.toYearFraction(self.test_date) |
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| 67 | |||
| 68 | # Assert the times are the same on the order of tens of seconds. |
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| 69 | # Necessary to evaluate the current UTC |
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| 70 | np.testing.assert_almost_equal(self.test_date, self.apex_out.year, 6) |
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| 71 | return |
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| 72 | |||
| 73 | def eval_refh(self): |
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| 74 | """Evaluate the reference height in self.refh and self.apex_out.""" |
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| 75 | eval_str = "".join(["expected reference height [", |
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| 76 | "{:}] not equal to Apex ".format(self.test_refh), |
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| 77 | "reference height ", |
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| 78 | "[{:}]".format(self.apex_out.refh)]) |
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| 79 | assert self.test_refh == self.apex_out.refh, eval_str |
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| 80 | return |
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| 81 | |||
| 82 | def test_init_defaults(self): |
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| 83 | """Test Apex class default initialization.""" |
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| 84 | self.apex_out = apexpy.Apex() |
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| 85 | self.eval_date() |
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| 86 | self.eval_refh() |
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| 87 | return |
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| 88 | |||
| 89 | @pytest.mark.parametrize("in_date", |
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| 90 | [2015, 2015.5, dt.date(2015, 1, 1), |
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| 91 | dt.datetime(2015, 6, 1, 18, 23, 45)]) |
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| 92 | def test_init_date(self, in_date): |
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| 93 | """Test Apex class with date initialization.""" |
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| 94 | self.test_date = in_date |
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| 95 | self.apex_out = apexpy.Apex(date=self.test_date) |
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| 96 | self.eval_date() |
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| 97 | self.eval_refh() |
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| 98 | return |
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| 99 | |||
| 100 | @pytest.mark.parametrize("new_date", [2015, 2015.5]) |
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| 101 | def test_set_epoch(self, new_date): |
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| 102 | """Test successful setting of Apex epoch after initialization.""" |
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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 | self.test_refh = in_refh |
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| 120 | self.apex_out = apexpy.Apex(refh=self.test_refh) |
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| 121 | self.eval_date() |
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| 122 | self.eval_refh() |
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| 123 | return |
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| 124 | |||
| 125 | @pytest.mark.parametrize("new_refh", [0.0, 300.0, 30000.0, -1.0]) |
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| 126 | def test_set_refh(self, new_refh): |
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| 127 | """Test the method used to set the reference height after the init.""" |
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| 128 | # Verify the defaults are set |
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| 129 | self.apex_out = apexpy.Apex(date=self.test_date) |
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| 130 | self.eval_date() |
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| 131 | self.eval_refh() |
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| 132 | |||
| 133 | # Update to a new reference height and test |
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| 134 | ref_apex = eval(self.apex_out.__repr__()) |
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| 135 | self.apex_out.set_refh(new_refh) |
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| 136 | |||
| 137 | if self.test_refh == new_refh: |
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| 138 | assert ref_apex == self.apex_out |
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| 139 | else: |
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| 140 | assert ref_apex != self.apex_out |
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| 141 | self.test_refh = new_refh |
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| 142 | self.eval_refh() |
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| 143 | return |
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| 144 | |||
| 145 | def test_init_with_bad_datafile(self): |
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| 146 | """Test raises IOError with non-existent datafile input.""" |
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| 147 | with pytest.raises(IOError) as oerr: |
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| 148 | apexpy.Apex(datafile=self.bad_file) |
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| 149 | assert str(oerr.value).startswith('Data file does not exist') |
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| 150 | return |
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| 151 | |||
| 152 | def test_init_with_bad_fortranlib(self): |
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| 153 | """Test raises IOError with non-existent datafile input.""" |
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| 154 | with pytest.raises(IOError) as oerr: |
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| 155 | apexpy.Apex(fortranlib=self.bad_file) |
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| 156 | assert str(oerr.value).startswith('Fortran library does not exist') |
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| 157 | return |
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| 158 | |||
| 159 | def test_repr_eval(self): |
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| 160 | """Test the Apex.__repr__ results.""" |
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| 161 | # Initialize the apex object |
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| 162 | self.apex_out = apexpy.Apex() |
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| 163 | self.eval_date() |
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| 164 | self.eval_refh() |
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| 165 | |||
| 166 | # Get and test the repr string |
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| 167 | out_str = self.apex_out.__repr__() |
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| 168 | assert out_str.find("apexpy.Apex(") == 0 |
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| 169 | |||
| 170 | # Test the ability to re-create the apex object from the repr string |
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| 171 | new_apex = eval(out_str) |
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| 172 | assert new_apex == self.apex_out |
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| 173 | return |
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| 174 | |||
| 175 | def test_str_eval(self): |
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| 176 | """Test the Apex.__str__ results.""" |
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| 177 | # Initialize the apex object |
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| 178 | self.apex_out = apexpy.Apex() |
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| 179 | self.eval_date() |
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| 180 | self.eval_refh() |
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| 181 | |||
| 182 | # Get and test the printed string |
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| 183 | out_str = self.apex_out.__str__() |
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| 184 | assert out_str.find("Decimal year") > 0 |
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| 185 | return |
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| 186 | |||
| 187 | |||
| 188 | class TestApexMethod(): |
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| 189 | """Test the Apex methods.""" |
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| 190 | def setup(self): |
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| 191 | """Initialize all tests.""" |
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| 192 | self.apex_out = apexpy.Apex(date=2000, refh=300) |
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| 193 | self.in_lat = 60 |
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| 194 | self.in_lon = 15 |
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| 195 | self.in_alt = 100 |
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| 196 | |||
| 197 | def teardown(self): |
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| 198 | """Clean up after each test.""" |
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| 199 | del self.apex_out, self.in_lat, self.in_lon, self.in_alt |
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| 200 | |||
| 201 | def get_input_args(self, method_name, precision=0.0): |
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| 202 | """Set the input arguments for the different Apex methods. |
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| 203 | |||
| 204 | Parameters |
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| 205 | ---------- |
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| 206 | method_name : str |
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| 207 | Name of the Apex class method |
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| 208 | precision : float |
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| 209 | Value for the precision (default=0.0) |
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| 210 | |||
| 211 | Returns |
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| 212 | ------- |
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| 213 | in_args : list |
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| 214 | List of the appropriate input arguments |
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| 215 | |||
| 216 | """ |
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| 217 | in_args = [self.in_lat, self.in_lon, self.in_alt] |
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| 218 | |||
| 219 | # Add precision, if needed |
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| 220 | if method_name in ["_qd2geo", "apxq2g", "apex2geo", "qd2geo", |
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| 221 | "_apex2geo"]: |
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| 222 | in_args.append(precision) |
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| 223 | |||
| 224 | # Add a reference height, if needed |
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| 225 | if method_name in ["apxg2all"]: |
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| 226 | in_args.append(300) |
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| 227 | |||
| 228 | # Add a vector flag, if needed |
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| 229 | if method_name in ["apxg2all", "apxg2q"]: |
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| 230 | in_args.append(1) |
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| 231 | |||
| 232 | return in_args |
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| 233 | |||
| 234 | @pytest.mark.parametrize("apex_method,fortran_method,fslice", |
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| 235 | [("_geo2qd", "apxg2q", slice(0, 2, 1)), |
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| 236 | ("_geo2apex", "apxg2all", slice(2, 4, 1)), |
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| 237 | ("_qd2geo", "apxq2g", slice(None)), |
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| 238 | ("_basevec", "apxg2q", slice(2, 4, 1))]) |
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| 239 | @pytest.mark.parametrize("lat", [0, 30, 60, 89]) |
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| 240 | @pytest.mark.parametrize("lon", [-179, -90, 0, 90, 180]) |
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| 241 | def test_fortran_scalar_input(self, apex_method, fortran_method, fslice, |
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| 242 | lat, lon): |
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| 243 | """Tests Apex/fortran interface consistency for scalars.""" |
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| 244 | # Set the input coordinates |
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| 245 | self.in_lat = lat |
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| 246 | self.in_lon = lon |
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| 247 | |||
| 248 | # Get the Apex class method and the fortran function call |
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| 249 | apex_func = getattr(self.apex_out, apex_method) |
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| 250 | fortran_func = getattr(apexpy.fortranapex, fortran_method) |
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| 251 | |||
| 252 | # Get the appropriate input arguments |
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| 253 | apex_args = self.get_input_args(apex_method) |
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| 254 | fortran_args = self.get_input_args(fortran_method) |
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| 255 | |||
| 256 | # Evaluate the equivalent function calls |
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| 257 | np.testing.assert_allclose(apex_func(*apex_args), |
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| 258 | fortran_func(*fortran_args)[fslice]) |
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| 259 | return |
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| 260 | |||
| 261 | @pytest.mark.parametrize("apex_method,fortran_method,fslice", |
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| 262 | [("_geo2qd", "apxg2q", slice(0, 2, 1)), |
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| 263 | ("_geo2apex", "apxg2all", slice(2, 4, 1)), |
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| 264 | ("_qd2geo", "apxq2g", slice(None)), |
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| 265 | ("_basevec", "apxg2q", slice(2, 4, 1))]) |
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| 266 | @pytest.mark.parametrize("lat", [0, 30, 60, 89]) |
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| 267 | @pytest.mark.parametrize("lon1,lon2", [(180, 180), (-180, -180), |
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| 268 | (180, -180), (-180, 180), |
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| 269 | (-345, 15), (375, 15)]) |
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| 270 | def test_fortran_longitude_rollover(self, apex_method, fortran_method, |
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| 271 | fslice, lat, lon1, lon2): |
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| 272 | """Tests Apex/fortran interface consistency for longitude rollover.""" |
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| 273 | # Set the fixed input coordinate |
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| 274 | self.in_lat = lat |
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| 275 | |||
| 276 | # Get the Apex class method and the fortran function call |
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| 277 | apex_func = getattr(self.apex_out, apex_method) |
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| 278 | fortran_func = getattr(apexpy.fortranapex, fortran_method) |
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| 279 | |||
| 280 | # Get the appropriate input arguments |
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| 281 | self.in_lon = lon1 |
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| 282 | apex_args = self.get_input_args(apex_method) |
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| 283 | |||
| 284 | self.in_lon = lon2 |
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| 285 | fortran_args = self.get_input_args(fortran_method) |
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| 286 | |||
| 287 | # Evaluate the equivalent function calls |
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| 288 | np.testing.assert_allclose(apex_func(*apex_args), |
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| 289 | fortran_func(*fortran_args)[fslice]) |
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| 290 | return |
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| 291 | |||
| 292 | @pytest.mark.parametrize("apex_method,fortran_method,fslice", |
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| 293 | [("_geo2qd", "apxg2q", slice(0, 2, 1)), |
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| 294 | ("_geo2apex", "apxg2all", slice(2, 4, 1)), |
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| 295 | ("_qd2geo", "apxq2g", slice(None)), |
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| 296 | ("_basevec", "apxg2q", slice(2, 4, 1))]) |
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| 297 | def test_fortran_array_input(self, apex_method, fortran_method, fslice): |
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| 298 | """Tests Apex/fortran interface consistency for array input.""" |
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| 299 | # Get the Apex class method and the fortran function call |
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| 300 | apex_func = getattr(self.apex_out, apex_method) |
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| 301 | fortran_func = getattr(apexpy.fortranapex, fortran_method) |
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| 302 | |||
| 303 | # Set up the input arrays |
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| 304 | ref_lat = np.array([0, 30, 60, 90]) |
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| 305 | ref_alt = np.array([100, 200, 300, 400]) |
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| 306 | self.in_lat = ref_lat.reshape((2, 2)) |
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| 307 | self.in_alt = ref_alt.reshape((2, 2)) |
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| 308 | apex_args = self.get_input_args(apex_method) |
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| 309 | |||
| 310 | # Get the Apex class results |
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| 311 | aret = apex_func(*apex_args) |
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| 312 | |||
| 313 | # Get the fortran function results |
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| 314 | flats = list() |
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| 315 | flons = list() |
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| 316 | |||
| 317 | for i, lat in enumerate(ref_lat): |
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| 318 | self.in_lat = lat |
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| 319 | self.in_alt = ref_alt[i] |
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| 320 | fortran_args = self.get_input_args(fortran_method) |
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| 321 | fret = fortran_func(*fortran_args)[fslice] |
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| 322 | flats.append(fret[0]) |
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| 323 | flons.append(fret[1]) |
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| 324 | |||
| 325 | flats = np.array(flats) |
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| 326 | flons = np.array(flons) |
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| 327 | |||
| 328 | # Evaluate results |
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| 329 | try: |
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| 330 | # This returned value is array of floats |
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| 331 | np.testing.assert_allclose(aret[0].astype(float), |
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| 332 | flats.reshape((2, 2)).astype(float)) |
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| 333 | np.testing.assert_allclose(aret[1].astype(float), |
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| 334 | flons.reshape((2, 2)).astype(float)) |
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| 335 | except ValueError: |
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| 336 | # This returned value is array of arrays |
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| 337 | alats = aret[0].reshape((4,)) |
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| 338 | alons = aret[1].reshape((4,)) |
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| 339 | for i, flat in enumerate(flats): |
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| 340 | np.testing.assert_array_almost_equal(alats[i], flat, 2) |
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| 341 | np.testing.assert_array_almost_equal(alons[i], flons[i], 2) |
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| 342 | |||
| 343 | return |
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| 344 | |||
| 345 | @pytest.mark.parametrize("lat", [0, 30, 60, 89]) |
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| 346 | @pytest.mark.parametrize("lon", [-179, -90, 0, 90, 180]) |
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| 347 | def test_geo2apexall_scalar(self, lat, lon): |
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| 348 | """Test Apex/fortran geo2apexall interface consistency for scalars.""" |
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| 349 | # Get the Apex and Fortran results |
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| 350 | aret = self.apex_out._geo2apexall(lat, lon, self.in_alt) |
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| 351 | fret = apexpy.fortranapex.apxg2all(lat, lon, self.in_alt, 300, 1) |
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| 352 | |||
| 353 | # Evaluate each element in the results |
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| 354 | for aval, fval in zip(aret, fret): |
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| 355 | np.testing.assert_allclose(aval, fval) |
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| 356 | |||
| 357 | def test_geo2apexall_array(self): |
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| 358 | """Test Apex/fortran geo2apexall interface consistency for arrays.""" |
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| 359 | # Set the input |
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| 360 | self.in_lat = np.array([0, 30, 60, 90]) |
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| 361 | self.in_alt = np.array([100, 200, 300, 400]) |
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| 362 | |||
| 363 | # Get the Apex class results |
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| 364 | aret = self.apex_out._geo2apexall(self.in_lat.reshape((2, 2)), |
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| 365 | self.in_lon, |
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| 366 | self.in_alt.reshape((2, 2))) |
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| 367 | |||
| 368 | # For each lat/alt pair, get the Fortran results |
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| 369 | fret = list() |
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| 370 | for i, lat in enumerate(self.in_lat): |
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| 371 | fret.append(apexpy.fortranapex.apxg2all(lat, self.in_lon, |
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| 372 | self.in_alt[i], 300, 1)) |
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| 373 | |||
| 374 | # Cycle through all returned values |
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| 375 | for i, ret in enumerate(aret): |
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| 376 | try: |
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| 377 | # This returned value is array of floats |
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| 378 | np.testing.assert_allclose(ret.astype(float), |
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| 379 | np.array([[fret[0][i], fret[1][i]], |
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| 380 | [fret[2][i], fret[3][i]]], |
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| 381 | dtype=float)) |
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| 382 | except ValueError: |
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| 383 | # This returned value is array of arrays |
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| 384 | ret = ret.reshape((4,)) |
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| 385 | for j, single_fret in enumerate(fret): |
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| 386 | np.testing.assert_allclose(ret[j], single_fret[i]) |
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| 387 | return |
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| 388 | |||
| 389 | @pytest.mark.parametrize("in_coord", ["geo", "apex", "qd"]) |
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| 390 | @pytest.mark.parametrize("out_coord", ["geo", "apex", "qd"]) |
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| 391 | def test_convert_consistency(self, in_coord, out_coord): |
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| 392 | """Test the self-consistency of the Apex convert method.""" |
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| 393 | if in_coord == out_coord: |
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| 394 | pytest.skip("Test not needed for same src and dest coordinates") |
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| 395 | |||
| 396 | # Define the method name |
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| 397 | method_name = "2".join([in_coord, out_coord]) |
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| 398 | |||
| 399 | # Get the method and method inputs |
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| 400 | convert_kwargs = {'height': self.in_alt, 'precision': 0.0} |
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| 401 | apex_args = self.get_input_args(method_name) |
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| 402 | apex_method = getattr(self.apex_out, method_name) |
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| 403 | |||
| 404 | # Define the slice needed to get equivalent output from the named method |
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| 405 | mslice = slice(0, -1, 1) if out_coord == "geo" else slice(None) |
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| 406 | |||
| 407 | # Get output using convert and named method |
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| 408 | convert_out = self.apex_out.convert(self.in_lat, self.in_lon, in_coord, |
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| 409 | out_coord, **convert_kwargs) |
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| 410 | method_out = apex_method(*apex_args)[mslice] |
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| 411 | |||
| 412 | # Compare both outputs, should be identical |
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| 413 | np.testing.assert_allclose(convert_out, method_out) |
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| 414 | return |
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| 415 | |||
| 416 | @pytest.mark.parametrize("bound_lat", [90, -90]) |
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| 417 | @pytest.mark.parametrize("in_coord", ["geo", "apex", "qd"]) |
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| 418 | @pytest.mark.parametrize("out_coord", ["geo", "apex", "qd"]) |
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| 419 | def test_convert_at_lat_boundary(self, bound_lat, in_coord, out_coord): |
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| 420 | """Test the conversion at the latitude boundary, with allowed excess.""" |
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| 421 | excess_lat = np.sign(bound_lat) * (abs(bound_lat) + 1.0e-5) |
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| 422 | |||
| 423 | # Get the two outputs, slight tolerance outside of boundary allowed |
||
| 424 | bound_out = self.apex_out.convert(bound_lat, 0, in_coord, out_coord) |
||
| 425 | excess_out = self.apex_out.convert(excess_lat, 0, in_coord, out_coord) |
||
| 426 | |||
| 427 | # Test the outputs |
||
| 428 | np.testing.assert_allclose(excess_out, bound_out, rtol=0, atol=1e-8) |
||
| 429 | return |
||
| 430 | |||
| 431 | def test_convert_qd2apex_at_equator(self): |
||
| 432 | """Test the quasi-dipole to apex conversion at the magnetic equator.""" |
||
| 433 | eq_out = self.apex_out.convert(lat=0.0, lon=0, source='qd', dest='apex', |
||
| 434 | height=320.0) |
||
| 435 | close_out = self.apex_out.convert(lat=0.001, lon=0, source='qd', |
||
| 436 | dest='apex', height=320.0) |
||
| 437 | np.testing.assert_allclose(eq_out, close_out, atol=1e-4) |
||
| 438 | return |
||
| 439 | |||
| 440 | @pytest.mark.parametrize("src", ["geo", "apex", "qd"]) |
||
| 441 | @pytest.mark.parametrize("dest", ["geo", "apex", "qd"]) |
||
| 442 | def test_convert_withnan(self, src, dest): |
||
| 443 | """Test Apex.convert success with NaN input.""" |
||
| 444 | if src == dest: |
||
| 445 | pytest.skip("Test not needed for same src and dest coordinates") |
||
| 446 | |||
| 447 | num_nans = 5 |
||
| 448 | in_loc = np.arange(0, 10, dtype=float) |
||
| 449 | in_loc[:num_nans] = np.nan |
||
| 450 | |||
| 451 | out_loc = self.apex_out.convert(in_loc, in_loc, src, dest, height=320) |
||
| 452 | |||
| 453 | for out in out_loc: |
||
| 454 | assert np.all(np.isnan(out[:num_nans])), "NaN output expected" |
||
| 455 | assert np.all(np.isfinite(out[num_nans:])), "Finite output expected" |
||
| 456 | |||
| 457 | return |
||
| 458 | |||
| 459 | @pytest.mark.parametrize("bad_lat", [91, -91]) |
||
| 460 | def test_convert_invalid_lat(self, bad_lat): |
||
| 461 | """Test convert raises ValueError for invalid latitudes.""" |
||
| 462 | |||
| 463 | with pytest.raises(ValueError) as verr: |
||
| 464 | self.apex_out.convert(bad_lat, 0, 'geo', 'geo') |
||
| 465 | |||
| 466 | assert str(verr.value).find("must be in [-90, 90]") > 0 |
||
| 467 | return |
||
| 468 | |||
| 469 | @pytest.mark.parametrize("coords", [("foobar", "geo"), ("geo", "foobar"), |
||
| 470 | ("geo", "mlt")]) |
||
| 471 | def test_convert_invalid_transformation(self, coords): |
||
| 472 | """Test raises NotImplementedError for bad coordinates.""" |
||
| 473 | if "mlt" in coords: |
||
| 474 | estr = "datetime must be given for MLT calculations" |
||
| 475 | else: |
||
| 476 | estr = "Unknown coordinate transformation" |
||
| 477 | |||
| 478 | with pytest.raises(ValueError) as verr: |
||
| 479 | self.apex_out.convert(0, 0, *coords) |
||
| 480 | |||
| 481 | assert str(verr).find(estr) >= 0 |
||
| 482 | return |
||
| 483 | |||
| 484 | @pytest.mark.parametrize("method_name, out_comp", |
||
| 485 | [("geo2apex", |
||
| 486 | (55.94841766357422, 94.10684204101562)), |
||
| 487 | ("apex2geo", |
||
| 488 | (51.476322174072266, -66.22817993164062, |
||
| 489 | 5.727287771151168e-06)), |
||
| 490 | ("geo2qd", |
||
| 491 | (56.531288146972656, 94.10684204101562)), |
||
| 492 | ("apex2qd", (60.498401178276744, 15.0)), |
||
| 493 | ("qd2apex", (59.49138097045895, 15.0))]) |
||
| 494 | def test_method_scalar_input(self, method_name, out_comp): |
||
| 495 | """Test the user method against set values with scalars.""" |
||
| 496 | # Get the desired methods |
||
| 497 | user_method = getattr(self.apex_out, method_name) |
||
| 498 | |||
| 499 | # Get the user output |
||
| 500 | user_out = user_method(self.in_lat, self.in_lon, self.in_alt) |
||
| 501 | |||
| 502 | # Evaluate the user output |
||
| 503 | np.testing.assert_allclose(user_out, out_comp) |
||
| 504 | |||
| 505 | for out_val in user_out: |
||
| 506 | assert np.asarray(out_val).shape == (), "output is not a scalar" |
||
| 507 | return |
||
| 508 | |||
| 509 | @pytest.mark.parametrize("in_coord", ["geo", "apex", "qd"]) |
||
| 510 | @pytest.mark.parametrize("out_coord", ["geo", "apex", "qd"]) |
||
| 511 | @pytest.mark.parametrize("method_args, out_shape", |
||
| 512 | [([[60, 60], 15, 100], (2,)), |
||
| 513 | ([60, [15, 15], 100], (2,)), |
||
| 514 | ([60, 15, [100, 100]], (2,)), |
||
| 515 | ([[50, 60], [15, 16], [100, 200]], (2,))]) |
||
| 516 | def test_method_broadcast_input(self, in_coord, out_coord, method_args, |
||
| 517 | out_shape): |
||
| 518 | """Test the user method with inputs that require some broadcasting.""" |
||
| 519 | if in_coord == out_coord: |
||
| 520 | pytest.skip("Test not needed for same src and dest coordinates") |
||
| 521 | |||
| 522 | # Get the desired methods |
||
| 523 | method_name = "2".join([in_coord, out_coord]) |
||
| 524 | user_method = getattr(self.apex_out, method_name) |
||
| 525 | |||
| 526 | # Get the user output |
||
| 527 | user_out = user_method(*method_args) |
||
| 528 | |||
| 529 | # Evaluate the user output |
||
| 530 | for out_val in user_out: |
||
| 531 | assert hasattr(out_val, 'shape'), "output coordinate isn't np.array" |
||
| 532 | assert out_val.shape == out_shape |
||
| 533 | return |
||
| 534 | |||
| 535 | @pytest.mark.parametrize("in_coord", ["geo", "apex", "qd"]) |
||
| 536 | @pytest.mark.parametrize("out_coord", ["geo", "apex", "qd"]) |
||
| 537 | @pytest.mark.parametrize("bad_lat", [91, -91]) |
||
| 538 | def test_method_invalid_lat(self, in_coord, out_coord, bad_lat): |
||
| 539 | """Test convert raises ValueError for invalid latitudes.""" |
||
| 540 | if in_coord == out_coord: |
||
| 541 | pytest.skip("Test not needed for same src and dest coordinates") |
||
| 542 | |||
| 543 | # Get the desired methods |
||
| 544 | method_name = "2".join([in_coord, out_coord]) |
||
| 545 | user_method = getattr(self.apex_out, method_name) |
||
| 546 | |||
| 547 | with pytest.raises(ValueError) as verr: |
||
| 548 | user_method(bad_lat, 15, 100) |
||
| 549 | |||
| 550 | assert str(verr.value).find("must be in [-90, 90]") > 0 |
||
| 551 | return |
||
| 552 | |||
| 553 | @pytest.mark.parametrize("in_coord", ["geo", "apex", "qd"]) |
||
| 554 | @pytest.mark.parametrize("out_coord", ["geo", "apex", "qd"]) |
||
| 555 | @pytest.mark.parametrize("bound_lat", [90, -90]) |
||
| 556 | def test_method_at_lat_boundary(self, in_coord, out_coord, bound_lat): |
||
| 557 | """Test user methods at the latitude boundary, with allowed excess.""" |
||
| 558 | if in_coord == out_coord: |
||
| 559 | pytest.skip("Test not needed for same src and dest coordinates") |
||
| 560 | |||
| 561 | # Get the desired methods |
||
| 562 | method_name = "2".join([in_coord, out_coord]) |
||
| 563 | user_method = getattr(self.apex_out, method_name) |
||
| 564 | |||
| 565 | # Get a latitude just beyond the limit |
||
| 566 | excess_lat = np.sign(bound_lat) * (abs(bound_lat) + 1.0e-5) |
||
| 567 | |||
| 568 | # Get the two outputs, slight tolerance outside of boundary allowed |
||
| 569 | bound_out = user_method(bound_lat, 0, 100) |
||
| 570 | excess_out = user_method(excess_lat, 0, 100) |
||
| 571 | |||
| 572 | # Test the outputs |
||
| 573 | np.testing.assert_allclose(excess_out, bound_out, rtol=0, atol=1e-8) |
||
| 574 | return |
||
| 575 | |||
| 576 | def test_geo2apex_undefined_warning(self): |
||
| 577 | """Test geo2apex warning and fill values for an undefined location.""" |
||
| 578 | |||
| 579 | # Update the apex object |
||
| 580 | self.apex_out = apexpy.Apex(date=2000, refh=10000) |
||
| 581 | |||
| 582 | # Get the output and the warnings |
||
| 583 | with warnings.catch_warnings(record=True) as warn_rec: |
||
| 584 | user_lat, user_lon = self.apex_out.geo2apex(0, 0, 0) |
||
| 585 | |||
| 586 | assert np.isnan(user_lat) |
||
| 587 | assert np.isfinite(user_lon) |
||
| 588 | assert len(warn_rec) == 1 |
||
| 589 | assert issubclass(warn_rec[-1].category, UserWarning) |
||
| 590 | assert 'latitude set to NaN where' in str(warn_rec[-1].message) |
||
| 591 | return |
||
| 592 | |||
| 593 | @pytest.mark.parametrize("method_name", ["apex2qd", "qd2apex"]) |
||
| 594 | @pytest.mark.parametrize("delta_h", [1.0e-6, -1.0e-6]) |
||
| 595 | def test_quasidipole_apexheight_close(self, method_name, delta_h): |
||
| 596 | """Test quasi-dipole success with a height close to the reference.""" |
||
| 597 | qd_method = getattr(self.apex_out, method_name) |
||
| 598 | in_args = [0, 15, self.apex_out.refh + delta_h] |
||
| 599 | out_coords = qd_method(*in_args) |
||
| 600 | |||
| 601 | for i, out_val in enumerate(out_coords): |
||
| 602 | np.testing.assert_almost_equal(out_val, in_args[i], decimal=3) |
||
| 603 | return |
||
| 604 | |||
| 605 | @pytest.mark.parametrize("method_name, hinc, msg", |
||
| 606 | [("apex2qd", 1.0, "is > apex height"), |
||
| 607 | ("qd2apex", -1.0, "is < reference height")]) |
||
| 608 | def test_quasidipole_raises_apexheight(self, method_name, hinc, msg): |
||
| 609 | """Quasi-dipole raises ApexHeightError when height above reference.""" |
||
| 610 | qd_method = getattr(self.apex_out, method_name) |
||
| 611 | |||
| 612 | with pytest.raises(apexpy.ApexHeightError) as aerr: |
||
| 613 | qd_method(0, 15, self.apex_out.refh + hinc) |
||
| 614 | |||
| 615 | assert str(aerr).find(msg) > 0 |
||
| 616 | return |
||
| 617 | |||
| 618 | |||
| 619 | class TestApexMLTMethods(): |
||
| 620 | """Test the Apex Magnetic Local Time (MLT) methods.""" |
||
| 621 | def setup(self): |
||
| 622 | """Initialize all tests.""" |
||
| 623 | self.apex_out = apexpy.Apex(date=2000, refh=300) |
||
| 624 | self.in_time = dt.datetime(2000, 2, 3, 4, 5, 6) |
||
| 625 | |||
| 626 | def teardown(self): |
||
| 627 | """Clean up after each test.""" |
||
| 628 | del self.apex_out, self.in_time |
||
| 629 | |||
| 630 | @pytest.mark.parametrize("in_coord", ["geo", "apex", "qd"]) |
||
| 631 | def test_convert_to_mlt(self, in_coord): |
||
| 632 | """Test the conversions to MLT using Apex convert.""" |
||
| 633 | |||
| 634 | # Get the magnetic longitude from the appropriate method |
||
| 635 | if in_coord == "geo": |
||
| 636 | apex_method = getattr(self.apex_out, "{:s}2apex".format(in_coord)) |
||
| 637 | mlon = apex_method(60, 15, 100)[1] |
||
| 638 | else: |
||
| 639 | mlon = 15 |
||
| 640 | |||
| 641 | # Get the output MLT values |
||
| 642 | convert_mlt = self.apex_out.convert(60, 15, in_coord, 'mlt', |
||
| 643 | height=100, ssheight=2e5, |
||
| 644 | datetime=self.in_time)[1] |
||
| 645 | method_mlt = self.apex_out.mlon2mlt(mlon, self.in_time, ssheight=2e5) |
||
| 646 | |||
| 647 | # Test the outputs |
||
| 648 | np.testing.assert_allclose(convert_mlt, method_mlt) |
||
| 649 | return |
||
| 650 | |||
| 651 | @pytest.mark.parametrize("out_coord", ["geo", "apex", "qd"]) |
||
| 652 | def test_convert_mlt_to_lon(self, out_coord): |
||
| 653 | """Test the conversions from MLT using Apex convert.""" |
||
| 654 | # Get the output longitudes |
||
| 655 | convert_out = self.apex_out.convert(60, 15, 'mlt', out_coord, |
||
| 656 | height=100, ssheight=2e5, |
||
| 657 | datetime=self.in_time, |
||
| 658 | precision=1e-2) |
||
| 659 | mlon = self.apex_out.mlt2mlon(15, self.in_time, ssheight=2e5) |
||
| 660 | |||
| 661 | if out_coord == "geo": |
||
| 662 | method_out = self.apex_out.apex2geo(60, mlon, 100, |
||
| 663 | precision=1e-2)[:-1] |
||
| 664 | elif out_coord == "qd": |
||
| 665 | method_out = self.apex_out.apex2qd(60, mlon, 100) |
||
| 666 | else: |
||
| 667 | method_out = (60, mlon) |
||
| 668 | |||
| 669 | # Evaluate the outputs |
||
| 670 | np.testing.assert_allclose(convert_out, method_out) |
||
| 671 | return |
||
| 672 | |||
| 673 | def test_convert_geo2mlt_nodate(self): |
||
| 674 | """Test convert from geo to MLT raises ValueError with no datetime.""" |
||
| 675 | with pytest.raises(ValueError): |
||
| 676 | self.apex_out.convert(60, 15, 'geo', 'mlt') |
||
| 677 | return |
||
| 678 | |||
| 679 | @pytest.mark.parametrize("mlon_kwargs,test_mlt", |
||
| 680 | [({}, 23.019629923502603), |
||
| 681 | ({"ssheight": 100000}, 23.026712036132814)]) |
||
| 682 | def test_mlon2mlt_scalar_inputs(self, mlon_kwargs, test_mlt): |
||
| 683 | """Test mlon2mlt with scalar inputs.""" |
||
| 684 | mlt = self.apex_out.mlon2mlt(0, self.in_time, **mlon_kwargs) |
||
| 685 | |||
| 686 | np.testing.assert_allclose(mlt, test_mlt) |
||
| 687 | assert np.asarray(mlt).shape == () |
||
| 688 | return |
||
| 689 | |||
| 690 | @pytest.mark.parametrize("mlt_kwargs,test_mlon", |
||
| 691 | [({}, 14.705535888671875), |
||
| 692 | ({"ssheight": 100000}, 14.599319458007812)]) |
||
| 693 | def test_mlt2mlon_scalar_inputs(self, mlt_kwargs, test_mlon): |
||
| 694 | """Test mlt2mlon with scalar inputs.""" |
||
| 695 | mlon = self.apex_out.mlt2mlon(0, self.in_time, **mlt_kwargs) |
||
| 696 | |||
| 697 | np.testing.assert_allclose(mlon, test_mlon) |
||
| 698 | assert np.asarray(mlon).shape == () |
||
| 699 | return |
||
| 700 | |||
| 701 | @pytest.mark.parametrize("mlon,test_mlt", |
||
| 702 | [([0, 180], [23.019261, 11.019261]), |
||
| 703 | (np.array([0, 180]), [23.019261, 11.019261]), |
||
| 704 | ([[0, 180], [0, 180]], [[23.019261, 11.019261], |
||
| 705 | [23.019261, 11.019261]]), |
||
| 706 | (range(0, 361, 30), |
||
| 707 | [23.01963, 1.01963, 3.01963, 5.01963, 7.01963, |
||
| 708 | 9.01963, 11.01963, 13.01963, 15.01963, 17.01963, |
||
| 709 | 19.01963, 21.01963, 23.01963])]) |
||
| 710 | def test_mlon2mlt_array(self, mlon, test_mlt): |
||
| 711 | """Test mlon2mlt with array inputs.""" |
||
| 712 | mlt = self.apex_out.mlon2mlt(mlon, self.in_time) |
||
| 713 | |||
| 714 | assert mlt.shape == np.asarray(test_mlt).shape |
||
| 715 | np.testing.assert_allclose(mlt, test_mlt, rtol=1e-4) |
||
| 716 | return |
||
| 717 | |||
| 718 | @pytest.mark.parametrize("mlt,test_mlon", |
||
| 719 | [([0, 12], [14.705551, 194.705551]), |
||
| 720 | (np.array([0, 12]), [14.705551, 194.705551]), |
||
| 721 | ([[0, 12], [0, 12]], [[14.705551, 194.705551], |
||
| 722 | [14.705551, 194.705551]]), |
||
| 723 | (range(0, 25, 2), |
||
| 724 | [14.705551, 44.705551, 74.705551, 104.705551, |
||
| 725 | 134.705551, 164.705551, 194.705551, 224.705551, |
||
| 726 | 254.705551, 284.705551, 314.705551, 344.705551, |
||
| 727 | 14.705551])]) |
||
| 728 | def test_mlt2mlon_array(self, mlt, test_mlon): |
||
| 729 | """Test mlt2mlon with array inputs.""" |
||
| 730 | mlon = self.apex_out.mlt2mlon(mlt, self.in_time) |
||
| 731 | |||
| 732 | assert mlon.shape == np.asarray(test_mlon).shape |
||
| 733 | np.testing.assert_allclose(mlon, test_mlon, rtol=1e-4) |
||
| 734 | return |
||
| 735 | |||
| 736 | @pytest.mark.parametrize("method_name", ["mlon2mlt", "mlt2mlon"]) |
||
| 737 | def test_mlon2mlt_diffdates(self, method_name): |
||
| 738 | """Test that MLT varies with universal time.""" |
||
| 739 | apex_method = getattr(self.apex_out, method_name) |
||
| 740 | mlt1 = apex_method(0, self.in_time) |
||
| 741 | mlt2 = apex_method(0, self.in_time + dt.timedelta(hours=1)) |
||
| 742 | |||
| 743 | assert mlt1 != mlt2 |
||
| 744 | return |
||
| 745 | |||
| 746 | @pytest.mark.parametrize("mlt_offset", [1.0, 10.0]) |
||
| 747 | def test_mlon2mlt_offset(self, mlt_offset): |
||
| 748 | """Test the time wrapping logic for the MLT.""" |
||
| 749 | mlt1 = self.apex_out.mlon2mlt(0.0, self.in_time) |
||
| 750 | mlt2 = self.apex_out.mlon2mlt(-15.0 * mlt_offset, |
||
| 751 | self.in_time) + mlt_offset |
||
| 752 | |||
| 753 | np.testing.assert_allclose(mlt1, mlt2) |
||
| 754 | return |
||
| 755 | |||
| 756 | @pytest.mark.parametrize("mlon_offset", [15.0, 150.0]) |
||
| 757 | def test_mlt2mlon_offset(self, mlon_offset): |
||
| 758 | """Test the time wrapping logic for the magnetic longitude.""" |
||
| 759 | mlon1 = self.apex_out.mlt2mlon(0, self.in_time) |
||
| 760 | mlon2 = self.apex_out.mlt2mlon(mlon_offset / 15.0, |
||
| 761 | self.in_time) - mlon_offset |
||
| 762 | |||
| 763 | np.testing.assert_allclose(mlon1, mlon2) |
||
| 764 | return |
||
| 765 | |||
| 766 | @pytest.mark.parametrize("order", [["mlt", "mlon"], ["mlon", "mlt"]]) |
||
| 767 | @pytest.mark.parametrize("start_val", [0, 6, 12, 18, 22]) |
||
| 768 | def test_convert_and_return(self, order, start_val): |
||
| 769 | """Test the conversion to magnetic longitude or MLT and back again.""" |
||
| 770 | first_method = getattr(self.apex_out, "2".join(order)) |
||
| 771 | second_method = getattr(self.apex_out, "2".join([order[1], order[0]])) |
||
| 772 | |||
| 773 | middle_val = first_method(start_val, self.in_time) |
||
| 774 | end_val = second_method(middle_val, self.in_time) |
||
| 775 | |||
| 776 | np.testing.assert_allclose(start_val, end_val) |
||
| 777 | return |
||
| 778 | |||
| 779 | |||
| 780 | class TestApexMapMethods(): |
||
| 781 | """Test the Apex height mapping methods.""" |
||
| 782 | def setup(self): |
||
| 783 | """Initialize all tests.""" |
||
| 784 | self.apex_out = apexpy.Apex(date=2000, refh=300) |
||
| 785 | |||
| 786 | def teardown(self): |
||
| 787 | """Clean up after each test.""" |
||
| 788 | del self.apex_out |
||
| 789 | |||
| 790 | @pytest.mark.parametrize("in_args,test_mapped", |
||
| 791 | [([60, 15, 100, 10000], |
||
| 792 | [31.841466903686523, 17.916635513305664, |
||
| 793 | 1.7075473124350538e-6]), |
||
| 794 | ([30, 170, 100, 500, False, 1e-2], |
||
| 795 | [25.727270126342773, 169.60546875, |
||
| 796 | 0.00017573432705830783]), |
||
| 797 | ([60, 15, 100, 10000, True], |
||
| 798 | [-25.424888610839844, 27.310426712036133, |
||
| 799 | 1.2074182222931995e-6]), |
||
| 800 | ([30, 170, 100, 500, True, 1e-2], |
||
| 801 | [-13.76642894744873, 164.24259948730469, |
||
| 802 | 0.00056820799363777041])]) |
||
| 803 | def test_map_to_height(self, in_args, test_mapped): |
||
| 804 | """Test the map_to_height function.""" |
||
| 805 | mapped = self.apex_out.map_to_height(*in_args) |
||
| 806 | np.testing.assert_allclose(mapped, test_mapped, atol=1e-6) |
||
| 807 | return |
||
| 808 | |||
| 809 | def test_map_to_height_same_height(self): |
||
| 810 | """Test the map_to_height function when mapping to same height.""" |
||
| 811 | mapped = self.apex_out.map_to_height(60, 15, 100, 100, conjugate=False, |
||
| 812 | precision=1e-10) |
||
| 813 | np.testing.assert_allclose(mapped, (60.0, 15.000003814697266, 0.0), |
||
| 814 | rtol=1e-5) |
||
| 815 | return |
||
| 816 | |||
| 817 | @pytest.mark.parametrize('ivec', range(0, 4)) |
||
| 818 | def test_map_to_height_array_location(self, ivec): |
||
| 819 | """Test map_to_height with array input.""" |
||
| 820 | # Set the base input and output values |
||
| 821 | in_args = [60, 15, 100, 100] |
||
| 822 | test_mapped = np.full(shape=(2, 3), |
||
| 823 | fill_value=[60, 15.00000381, 0.0]).transpose() |
||
| 824 | |||
| 825 | # Update inputs for one vectorized value |
||
| 826 | in_args[ivec] = [in_args[ivec], in_args[ivec]] |
||
| 827 | |||
| 828 | # Calculate and test function |
||
| 829 | mapped = self.apex_out.map_to_height(*in_args) |
||
| 830 | np.testing.assert_allclose(mapped, test_mapped, rtol=1e-5) |
||
| 831 | return |
||
| 832 | |||
| 833 | @pytest.mark.parametrize("method_name,in_args", |
||
| 834 | [("map_to_height", [0, 15, 100, 10000]), |
||
| 835 | ("map_E_to_height", |
||
| 836 | [0, 15, 100, 10000, [1, 2, 3]]), |
||
| 837 | ("map_V_to_height", |
||
| 838 | [0, 15, 100, 10000, [1, 2, 3]])]) |
||
| 839 | def test_mapping_height_raises_ApexHeightError(self, method_name, in_args): |
||
| 840 | """Test map_to_height raises ApexHeightError.""" |
||
| 841 | apex_method = getattr(self.apex_out, method_name) |
||
| 842 | |||
| 843 | with pytest.raises(apexpy.ApexHeightError) as aerr: |
||
| 844 | apex_method(*in_args) |
||
| 845 | |||
| 846 | assert aerr.match("is > apex height") |
||
| 847 | return |
||
| 848 | |||
| 849 | @pytest.mark.parametrize("method_name", |
||
| 850 | ["map_E_to_height", "map_V_to_height"]) |
||
| 851 | @pytest.mark.parametrize("ev_input", [([1, 2, 3, 4, 5]), |
||
| 852 | ([[1, 2], [3, 4], [5, 6], [7, 8]])]) |
||
| 853 | def test_mapping_EV_bad_shape(self, method_name, ev_input): |
||
| 854 | """Test height mapping of E/V with baddly shaped input raises Error.""" |
||
| 855 | apex_method = getattr(self.apex_out, method_name) |
||
| 856 | in_args = [60, 15, 100, 500, ev_input] |
||
| 857 | with pytest.raises(ValueError) as verr: |
||
| 858 | apex_method(*in_args) |
||
| 859 | |||
| 860 | assert str(verr.value).find("must be (3, N) or (3,) ndarray") >= 0 |
||
| 861 | return |
||
| 862 | |||
| 863 | def test_mapping_EV_bad_flag(self): |
||
| 864 | """Test _map_EV_to_height raises error for bad data type flag.""" |
||
| 865 | with pytest.raises(ValueError) as verr: |
||
| 866 | self.apex_out._map_EV_to_height(60, 15, 100, 500, [1, 2, 3], "P") |
||
| 867 | |||
| 868 | assert str(verr.value).find("unknown electric field/drift flag") >= 0 |
||
| 869 | return |
||
| 870 | |||
| 871 | @pytest.mark.parametrize("in_args,test_mapped", |
||
| 872 | [([60, 15, 100, 500, [1, 2, 3]], |
||
| 873 | [0.71152183, 2.35624876, 0.57260784]), |
||
| 874 | ([60, 15, 100, 500, [2, 3, 4]], |
||
| 875 | [1.56028502, 3.43916636, 0.78235384]), |
||
| 876 | ([60, 15, 100, 1000, [1, 2, 3]], |
||
| 877 | [0.67796492, 2.08982134, 0.55860785]), |
||
| 878 | ([60, 15, 200, 500, [1, 2, 3]], |
||
| 879 | [0.72377397, 2.42737471, 0.59083726]), |
||
| 880 | ([60, 30, 100, 500, [1, 2, 3]], |
||
| 881 | [0.68626344, 2.37530133, 0.60060124]), |
||
| 882 | ([70, 15, 100, 500, [1, 2, 3]], |
||
| 883 | [0.72760378, 2.18082305, 0.29141979])]) |
||
| 884 | def test_map_E_to_height_scalar_location(self, in_args, test_mapped): |
||
| 885 | """Test mapping of E-field to a specified height.""" |
||
| 886 | mapped = self.apex_out.map_E_to_height(*in_args) |
||
| 887 | np.testing.assert_allclose(mapped, test_mapped, rtol=1e-5) |
||
| 888 | return |
||
| 889 | |||
| 890 | View Code Duplication | @pytest.mark.parametrize('ivec', range(0, 5)) |
|
|
Duplication
introduced
by
|
|||
| 891 | def test_map_E_to_height_array_location(self, ivec): |
||
| 892 | """Test mapping of E-field to a specified height with array input.""" |
||
| 893 | # Set the base input and output values |
||
| 894 | efield = np.array([[1, 2, 3]] * 2).transpose() |
||
| 895 | in_args = [60, 15, 100, 500, efield] |
||
| 896 | test_mapped = np.full(shape=(2, 3), |
||
| 897 | fill_value=[0.71152183, 2.35624876, |
||
| 898 | 0.57260784]).transpose() |
||
| 899 | |||
| 900 | # Update inputs for one vectorized value if this is a location input |
||
| 901 | if ivec < 4: |
||
| 902 | in_args[ivec] = [in_args[ivec], in_args[ivec]] |
||
| 903 | |||
| 904 | # Get the mapped output and test the results |
||
| 905 | mapped = self.apex_out.map_E_to_height(*in_args) |
||
| 906 | np.testing.assert_allclose(mapped, test_mapped, rtol=1e-5) |
||
| 907 | return |
||
| 908 | |||
| 909 | @pytest.mark.parametrize("in_args,test_mapped", |
||
| 910 | [([60, 15, 100, 500, [1, 2, 3]], |
||
| 911 | [0.81971957, 2.84512495, 0.69545001]), |
||
| 912 | ([60, 15, 100, 500, [2, 3, 4]], |
||
| 913 | [1.83027746, 4.14346436, 0.94764179]), |
||
| 914 | ([60, 15, 100, 1000, [1, 2, 3]], |
||
| 915 | [0.92457698, 3.14997661, 0.85135187]), |
||
| 916 | ([60, 15, 200, 500, [1, 2, 3]], |
||
| 917 | [0.80388262, 2.79321504, 0.68285158]), |
||
| 918 | ([60, 30, 100, 500, [1, 2, 3]], |
||
| 919 | [0.76141245, 2.87884673, 0.73655941]), |
||
| 920 | ([70, 15, 100, 500, [1, 2, 3]], |
||
| 921 | [0.84681866, 2.5925821, 0.34792655])]) |
||
| 922 | def test_map_V_to_height_scalar_location(self, in_args, test_mapped): |
||
| 923 | """Test mapping of velocity to a specified height.""" |
||
| 924 | mapped = self.apex_out.map_V_to_height(*in_args) |
||
| 925 | np.testing.assert_allclose(mapped, test_mapped, rtol=1e-5) |
||
| 926 | return |
||
| 927 | |||
| 928 | View Code Duplication | @pytest.mark.parametrize('ivec', range(0, 5)) |
|
| 929 | def test_map_V_to_height_array_location(self, ivec): |
||
| 930 | """Test mapping of velocity to a specified height with array input.""" |
||
| 931 | # Set the base input and output values |
||
| 932 | evel = np.array([[1, 2, 3]] * 2).transpose() |
||
| 933 | in_args = [60, 15, 100, 500, evel] |
||
| 934 | test_mapped = np.full(shape=(2, 3), |
||
| 935 | fill_value=[0.81971957, 2.84512495, |
||
| 936 | 0.69545001]).transpose() |
||
| 937 | |||
| 938 | # Update inputs for one vectorized value if this is a location input |
||
| 939 | if ivec < 4: |
||
| 940 | in_args[ivec] = [in_args[ivec], in_args[ivec]] |
||
| 941 | |||
| 942 | # Get the mapped output and test the results |
||
| 943 | mapped = self.apex_out.map_V_to_height(*in_args) |
||
| 944 | np.testing.assert_allclose(mapped, test_mapped, rtol=1e-5) |
||
| 945 | return |
||
| 946 | |||
| 947 | |||
| 948 | class TestApexBasevectorMethods(): |
||
| 949 | """Test the Apex height base vector methods.""" |
||
| 950 | def setup(self): |
||
| 951 | """Initialize all tests.""" |
||
| 952 | self.apex_out = apexpy.Apex(date=2000, refh=300) |
||
| 953 | self.lat = 60 |
||
| 954 | self.lon = 15 |
||
| 955 | self.height = 100 |
||
| 956 | self.test_basevec = None |
||
| 957 | |||
| 958 | def teardown(self): |
||
| 959 | """Clean up after each test.""" |
||
| 960 | del self.apex_out, self.test_basevec, self.lat, self.lon, self.height |
||
| 961 | |||
| 962 | def get_comparison_results(self, bv_coord, coords, precision): |
||
| 963 | """Get the base vector results using the hidden function for comparison. |
||
| 964 | |||
| 965 | Parameters |
||
| 966 | ---------- |
||
| 967 | bv_coord : str |
||
| 968 | Basevector coordinate scheme, expects on of 'apex', 'qd', |
||
| 969 | or 'bvectors_apex' |
||
| 970 | coords : str |
||
| 971 | Expects one of 'geo', 'apex', or 'qd' |
||
| 972 | precision : float |
||
| 973 | Float specifiying precision |
||
| 974 | |||
| 975 | """ |
||
| 976 | if coords == "geo": |
||
| 977 | glat = self.lat |
||
| 978 | glon = self.lon |
||
| 979 | else: |
||
| 980 | apex_method = getattr(self.apex_out, "{:s}2geo".format(coords)) |
||
| 981 | glat, glon, _ = apex_method(self.lat, self.lon, self.height, |
||
| 982 | precision=precision) |
||
| 983 | |||
| 984 | if bv_coord == 'qd': |
||
| 985 | self.test_basevec = self.apex_out._basevec(glat, glon, self.height) |
||
| 986 | elif bv_coord == 'apex': |
||
| 987 | (_, _, _, _, f1, f2, _, d1, d2, d3, _, e1, e2, |
||
| 988 | e3) = self.apex_out._geo2apexall(glat, glon, 100) |
||
| 989 | self.test_basevec = (f1, f2, d1, d2, d3, e1, e2, e3) |
||
| 990 | else: |
||
| 991 | # These are set results that need to be updated with IGRF |
||
| 992 | if coords == "geo": |
||
| 993 | self.test_basevec = ( |
||
| 994 | np.array([4.42368795e-05, 4.42368795e-05]), |
||
| 995 | np.array([[0.01047826, 0.01047826], |
||
| 996 | [0.33089194, 0.33089194], |
||
| 997 | [-1.04941, -1.04941]]), |
||
| 998 | np.array([5.3564698e-05, 5.3564698e-05]), |
||
| 999 | np.array([[0.00865356, 0.00865356], |
||
| 1000 | [0.27327004, 0.27327004], |
||
| 1001 | [-0.8666646, -0.8666646]])) |
||
| 1002 | elif coords == "apex": |
||
| 1003 | self.test_basevec = ( |
||
| 1004 | np.array([4.48672735e-05, 4.48672735e-05]), |
||
| 1005 | np.array([[-0.12510721, -0.12510721], |
||
| 1006 | [0.28945938, 0.28945938], |
||
| 1007 | [-1.1505738, -1.1505738]]), |
||
| 1008 | np.array([6.38577444e-05, 6.38577444e-05]), |
||
| 1009 | np.array([[-0.08790194, -0.08790194], |
||
| 1010 | [0.2033779, 0.2033779], |
||
| 1011 | [-0.808408, -0.808408]])) |
||
| 1012 | else: |
||
| 1013 | self.test_basevec = ( |
||
| 1014 | np.array([4.46348578e-05, 4.46348578e-05]), |
||
| 1015 | np.array([[-0.12642345, -0.12642345], |
||
| 1016 | [0.29695055, 0.29695055], |
||
| 1017 | [-1.1517885, -1.1517885]]), |
||
| 1018 | np.array([6.38626285e-05, 6.38626285e-05]), |
||
| 1019 | np.array([[-0.08835986, -0.08835986], |
||
| 1020 | [0.20754464, 0.20754464], |
||
| 1021 | [-0.8050078, -0.8050078]])) |
||
| 1022 | |||
| 1023 | return |
||
| 1024 | |||
| 1025 | @pytest.mark.parametrize("bv_coord", ["qd", "apex"]) |
||
| 1026 | @pytest.mark.parametrize("coords,precision", |
||
| 1027 | [("geo", 1e-10), ("apex", 1.0e-2), ("qd", 1.0e-2)]) |
||
| 1028 | def test_basevectors_scalar(self, bv_coord, coords, precision): |
||
| 1029 | """Test the base vector calculations with scalars.""" |
||
| 1030 | # Get the base vectors |
||
| 1031 | base_method = getattr(self.apex_out, |
||
| 1032 | "basevectors_{:s}".format(bv_coord)) |
||
| 1033 | basevec = base_method(self.lat, self.lon, self.height, coords=coords, |
||
| 1034 | precision=precision) |
||
| 1035 | self.get_comparison_results(bv_coord, coords, precision) |
||
| 1036 | if bv_coord == "apex": |
||
| 1037 | basevec = list(basevec) |
||
| 1038 | for i in range(4): |
||
| 1039 | # Not able to compare indices 2, 3, 4, and 5 |
||
| 1040 | basevec.pop(2) |
||
| 1041 | |||
| 1042 | # Test the results |
||
| 1043 | for i, vec in enumerate(basevec): |
||
| 1044 | np.testing.assert_allclose(vec, self.test_basevec[i]) |
||
| 1045 | return |
||
| 1046 | |||
| 1047 | @pytest.mark.parametrize("bv_coord", ["qd", "apex"]) |
||
| 1048 | def test_basevectors_scalar_shape(self, bv_coord): |
||
| 1049 | """Test the shape of the scalar output.""" |
||
| 1050 | base_method = getattr(self.apex_out, |
||
| 1051 | "basevectors_{:s}".format(bv_coord)) |
||
| 1052 | basevec = base_method(self.lat, self.lon, self.height) |
||
| 1053 | |||
| 1054 | for i, vec in enumerate(basevec): |
||
| 1055 | if i < 2: |
||
| 1056 | assert vec.shape == (2,) |
||
| 1057 | else: |
||
| 1058 | assert vec.shape == (3,) |
||
| 1059 | return |
||
| 1060 | |||
| 1061 | @pytest.mark.parametrize("bv_coord", ["qd", "apex"]) |
||
| 1062 | @pytest.mark.parametrize("ivec", range(3)) |
||
| 1063 | def test_basevectors_array(self, bv_coord, ivec): |
||
| 1064 | """Test the output shape for array inputs.""" |
||
| 1065 | # Define the input arguments |
||
| 1066 | in_args = [self.lat, self.lon, self.height] |
||
| 1067 | in_args[ivec] = [in_args[ivec] for i in range(4)] |
||
| 1068 | |||
| 1069 | # Get the basevectors |
||
| 1070 | base_method = getattr(self.apex_out, |
||
| 1071 | "basevectors_{:s}".format(bv_coord)) |
||
| 1072 | basevec = base_method(*in_args, coords='geo', precision=1e-10) |
||
| 1073 | self.get_comparison_results(bv_coord, "geo", 1e-10) |
||
| 1074 | if bv_coord == "apex": |
||
| 1075 | basevec = list(basevec) |
||
| 1076 | for i in range(4): |
||
| 1077 | # Not able to compare indices 2, 3, 4, and 5 |
||
| 1078 | basevec.pop(2) |
||
| 1079 | |||
| 1080 | # Evaluate the shape and the values |
||
| 1081 | for i, vec in enumerate(basevec): |
||
| 1082 | idim = 2 if i < 2 else 3 |
||
| 1083 | assert vec.shape == (idim, 4) |
||
| 1084 | assert np.all(self.test_basevec[i][0] == vec[0]) |
||
| 1085 | assert np.all(self.test_basevec[i][1] == vec[1]) |
||
| 1086 | return |
||
| 1087 | |||
| 1088 | @pytest.mark.parametrize("coords", ["geo", "apex", "qd"]) |
||
| 1089 | def test_bvectors_apex(self, coords): |
||
| 1090 | """Test the bvectors_apex method.""" |
||
| 1091 | in_args = [[self.lat, self.lat], [self.lon, self.lon], |
||
| 1092 | [self.height, self.height]] |
||
| 1093 | self.get_comparison_results("bvectors_apex", coords, 1e-10) |
||
| 1094 | |||
| 1095 | basevec = self.apex_out.bvectors_apex(*in_args, coords=coords, |
||
| 1096 | precision=1e-10) |
||
| 1097 | for i, vec in enumerate(basevec): |
||
| 1098 | np.testing.assert_array_almost_equal(vec, self.test_basevec[i], |
||
| 1099 | decimal=5) |
||
| 1100 | return |
||
| 1101 | |||
| 1102 | def test_basevectors_apex_extra_values(self): |
||
| 1103 | """Test specific values in the apex base vector output.""" |
||
| 1104 | # Set the testing arrays |
||
| 1105 | self.test_basevec = [np.array([0.092637, -0.245951, 0.938848]), |
||
| 1106 | np.array([0.939012, 0.073416, -0.07342]), |
||
| 1107 | np.array([0.055389, 1.004155, 0.257594]), |
||
| 1108 | np.array([0, 0, 1.065135])] |
||
| 1109 | |||
| 1110 | # Get the desired output |
||
| 1111 | basevec = self.apex_out.basevectors_apex(0, 15, 100, coords='geo') |
||
| 1112 | |||
| 1113 | # Test the values not covered by `test_basevectors_scalar` |
||
| 1114 | for itest, ibase in enumerate(np.arange(2, 6, 1)): |
||
| 1115 | np.testing.assert_allclose(basevec[ibase], |
||
| 1116 | self.test_basevec[itest], rtol=1e-4) |
||
| 1117 | return |
||
| 1118 | |||
| 1119 | @pytest.mark.parametrize("lat", range(0, 90, 10)) |
||
| 1120 | @pytest.mark.parametrize("lon", range(0, 360, 15)) |
||
| 1121 | def test_basevectors_apex_delta(self, lat, lon): |
||
| 1122 | """Test that vectors are calculated correctly.""" |
||
| 1123 | # Get the apex base vectors and sort them for easy testing |
||
| 1124 | (f1, f2, f3, g1, g2, g3, d1, d2, d3, e1, e2, |
||
| 1125 | e3) = self.apex_out.basevectors_apex(lat, lon, 500) |
||
| 1126 | fvec = [np.append(f1, 0), np.append(f2, 0), f3] |
||
| 1127 | gvec = [g1, g2, g3] |
||
| 1128 | dvec = [d1, d2, d3] |
||
| 1129 | evec = [e1, e2, e3] |
||
| 1130 | |||
| 1131 | for idelta, jdelta in [(i, j) for i in range(3) for j in range(3)]: |
||
| 1132 | delta = 1 if idelta == jdelta else 0 |
||
| 1133 | np.testing.assert_allclose(np.sum(fvec[idelta] * gvec[jdelta]), |
||
| 1134 | delta, rtol=0, atol=1e-5) |
||
| 1135 | np.testing.assert_allclose(np.sum(dvec[idelta] * evec[jdelta]), |
||
| 1136 | delta, rtol=0, atol=1e-5) |
||
| 1137 | return |
||
| 1138 | |||
| 1139 | def test_basevectors_apex_invalid_scalar(self): |
||
| 1140 | """Test warning and fill values for base vectors with bad inputs.""" |
||
| 1141 | self.apex_out = apexpy.Apex(date=2000, refh=10000) |
||
| 1142 | invalid = np.full(shape=(3,), fill_value=np.nan) |
||
| 1143 | |||
| 1144 | # Get the output and the warnings |
||
| 1145 | with warnings.catch_warnings(record=True) as warn_rec: |
||
| 1146 | basevec = self.apex_out.basevectors_apex(0, 0, 0) |
||
| 1147 | |||
| 1148 | for i, bvec in enumerate(basevec): |
||
| 1149 | if i < 2: |
||
| 1150 | assert not np.allclose(bvec, invalid[:2]) |
||
| 1151 | else: |
||
| 1152 | np.testing.assert_allclose(bvec, invalid) |
||
| 1153 | |||
| 1154 | assert issubclass(warn_rec[-1].category, UserWarning) |
||
| 1155 | assert 'set to NaN where' in str(warn_rec[-1].message) |
||
| 1156 | return |
||
| 1157 | |||
| 1158 | |||
| 1159 | class TestApexGetMethods(): |
||
| 1160 | """Test the Apex `get` methods.""" |
||
| 1161 | def setup(self): |
||
| 1162 | """Initialize all tests.""" |
||
| 1163 | self.apex_out = apexpy.Apex(date=2000, refh=300) |
||
| 1164 | |||
| 1165 | def teardown(self): |
||
| 1166 | """Clean up after each test.""" |
||
| 1167 | del self.apex_out |
||
| 1168 | |||
| 1169 | @pytest.mark.parametrize("alat, aheight", [(10, 507.409702543805), |
||
| 1170 | (60, 20313.026999999987)]) |
||
| 1171 | def test_get_apex(self, alat, aheight): |
||
| 1172 | """Test the apex height retrieval results.""" |
||
| 1173 | alt = self.apex_out.get_apex(alat) |
||
| 1174 | np.testing.assert_allclose(alt, aheight) |
||
| 1175 | return |
||
| 1176 | |||
| 1177 | @pytest.mark.parametrize("glat,glon,height,test_bmag", |
||
| 1178 | [([80], [100], [300], 5.100682377815247e-05), |
||
| 1179 | (range(50, 90, 8), range(0, 360, 80), [300] * 5, |
||
| 1180 | np.array([4.18657154e-05, 5.11118114e-05, |
||
| 1181 | 4.91969854e-05, 5.10519207e-05, |
||
| 1182 | 4.90054816e-05])), |
||
| 1183 | (90.0, 0, 1000, 3.7834718823432923e-05)]) |
||
| 1184 | def test_get_babs(self, glat, glon, height, test_bmag): |
||
| 1185 | """Test the method to get the magnitude of the magnetic field.""" |
||
| 1186 | bmag = self.apex_out.get_babs(glat, glon, height) |
||
| 1187 | np.testing.assert_allclose(bmag, test_bmag, rtol=0, atol=1e-5) |
||
| 1188 | return |
||
| 1189 | |||
| 1190 | @pytest.mark.parametrize("bad_lat", [(91), (-91)]) |
||
| 1191 | def test_get_with_invalid_lat(self, bad_lat): |
||
| 1192 | """Test get methods raise ValueError for invalid latitudes.""" |
||
| 1193 | |||
| 1194 | with pytest.raises(ValueError) as verr: |
||
| 1195 | self.apex_out.get_apex(bad_lat) |
||
| 1196 | |||
| 1197 | assert str(verr.value).find("must be in [-90, 90]") > 0 |
||
| 1198 | return |
||
| 1199 | |||
| 1200 | @pytest.mark.parametrize("bad_lat", [(91), (-91)]) |
||
| 1201 | def test_get_with_invalid_lat(self, bad_lat): |
||
| 1202 | """Test get methods raise ValueError for invalid latitudes.""" |
||
| 1203 | |||
| 1204 | with pytest.raises(ValueError) as verr: |
||
| 1205 | self.apex_out.get_babs(bad_lat, 15, 100) |
||
| 1206 | |||
| 1207 | assert str(verr.value).find("must be in [-90, 90]") > 0 |
||
| 1208 | return |
||
| 1209 | |||
| 1210 | @pytest.mark.parametrize("bound_lat", [(90), (-90)]) |
||
| 1211 | def test_get_at_lat_boundary(self, bound_lat): |
||
| 1212 | """Test get methods at the latitude boundary, with allowed excess.""" |
||
| 1213 | # Get a latitude just beyond the limit |
||
| 1214 | excess_lat = np.sign(bound_lat) * (abs(bound_lat) + 1.0e-5) |
||
| 1215 | |||
| 1216 | # Get the two outputs, slight tolerance outside of boundary allowed |
||
| 1217 | bound_out = self.apex_out.get_apex(bound_lat) |
||
| 1218 | excess_out = self.apex_out.get_apex(excess_lat) |
||
| 1219 | |||
| 1220 | # Test the outputs |
||
| 1221 | np.testing.assert_allclose(excess_out, bound_out, rtol=0, atol=1e-8) |
||
| 1222 | return |
||
| 1223 |
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