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# -*- coding: utf-8 -*- |
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"""Test the apexpy.Apex class |
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Notes |
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----- |
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Whenever function outputs are tested against hard-coded numbers, the test |
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results (numbers) were obtained by running the code that is tested. Therefore, |
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these tests below only check that nothing changes when refactoring, etc., and |
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not if the results are actually correct. |
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These results are expected to change when IGRF is updated. |
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""" |
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import datetime as dt |
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import numpy as np |
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import os |
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import pytest |
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import warnings |
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import apexpy |
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@pytest.fixture() |
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def igrf_file(): |
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"""A fixture for handling the coefficient file.""" |
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# Ensure the coefficient file exists |
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original_file = os.path.join(os.path.dirname(apexpy.helpers.__file__), |
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'igrf13coeffs.txt') |
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tmp_file = "temp_coeff.txt" |
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assert os.path.isfile(original_file) |
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# Move the coefficient file |
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os.rename(original_file, tmp_file) |
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yield original_file |
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# Move the coefficient file back |
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os.rename(tmp_file, original_file) |
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return |
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def test_set_epoch_file_error(igrf_file): |
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"""Test raises OSError when IGRF coefficient file is missing.""" |
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# Test missing coefficient file failure |
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with pytest.raises(OSError) as oerr: |
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apexpy.Apex() |
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error_string = "File {:} does not exist".format(igrf_file) |
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assert str(oerr.value).startswith(error_string) |
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return |
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class TestApexInit(): |
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def setup(self): |
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self.apex_out = None |
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self.test_date = dt.datetime.utcnow() |
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self.test_refh = 0 |
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self.bad_file = 'foo/path/to/datafile.blah' |
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def teardown(self): |
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del self.apex_out, self.test_date, self.test_refh, self.bad_file |
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def eval_date(self): |
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"""Evaluate the times in self.test_date and self.apex_out.""" |
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if isinstance(self.test_date, dt.datetime) \ |
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or isinstance(self.test_date, dt.date): |
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self.test_date = apexpy.helpers.toYearFraction(self.test_date) |
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# Assert the times are the same on the order of tens of seconds. |
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# Necessary to evaluate the current UTC |
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np.testing.assert_almost_equal(self.test_date, self.apex_out.year, 6) |
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return |
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def eval_refh(self): |
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"""Evaluate the reference height in self.refh and self.apex_out.""" |
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eval_str = "".join(["expected reference height [", |
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"{:}] not equal to Apex ".format(self.test_refh), |
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"reference height ", |
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"[{:}]".format(self.apex_out.refh)]) |
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assert self.test_refh == self.apex_out.refh, eval_str |
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return |
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def test_init_defaults(self): |
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"""Test Apex class default initialization.""" |
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self.apex_out = apexpy.Apex() |
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self.eval_date() |
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self.eval_refh() |
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return |
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@pytest.mark.parametrize("in_date", |
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[2015, 2015.5, dt.date(2015, 1, 1), |
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dt.datetime(2015, 6, 1, 18, 23, 45)]) |
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def test_init_date(self, in_date): |
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"""Test Apex class with date initialization.""" |
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self.test_date = in_date |
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self.apex_out = apexpy.Apex(date=self.test_date) |
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self.eval_date() |
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self.eval_refh() |
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return |
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@pytest.mark.parametrize("new_date", [2015, 2015.5]) |
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def test_set_epoch(self, new_date): |
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"""Test successful setting of Apex epoch after initialization.""" |
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# Evaluate the default initialization |
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self.apex_out = apexpy.Apex() |
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self.eval_date() |
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self.eval_refh() |
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# Update the epoch |
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ref_apex = eval(self.apex_out.__repr__()) |
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self.apex_out.set_epoch(new_date) |
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assert ref_apex != self.apex_out |
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self.test_date = new_date |
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self.eval_date() |
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return |
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@pytest.mark.parametrize("in_refh", [0.0, 300.0, 30000.0, -1.0]) |
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def test_init_refh(self, in_refh): |
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"""Test Apex class with reference height initialization.""" |
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self.test_refh = in_refh |
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self.apex_out = apexpy.Apex(refh=self.test_refh) |
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self.eval_date() |
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self.eval_refh() |
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return |
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@pytest.mark.parametrize("new_refh", [0.0, 300.0, 30000.0, -1.0]) |
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def test_set_refh(self, new_refh): |
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"""Test the method used to set the reference height after the init.""" |
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# Verify the defaults are set |
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self.apex_out = apexpy.Apex(date=self.test_date) |
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self.eval_date() |
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self.eval_refh() |
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# Update to a new reference height and test |
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ref_apex = eval(self.apex_out.__repr__()) |
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self.apex_out.set_refh(new_refh) |
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if self.test_refh == new_refh: |
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assert ref_apex == self.apex_out |
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else: |
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assert ref_apex != self.apex_out |
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self.test_refh = new_refh |
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self.eval_refh() |
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return |
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def test_init_with_bad_datafile(self): |
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"""Test raises IOError with non-existent datafile input.""" |
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with pytest.raises(IOError) as oerr: |
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apexpy.Apex(datafile=self.bad_file) |
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assert str(oerr.value).startswith('Data file does not exist') |
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return |
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def test_init_with_bad_fortranlib(self): |
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"""Test raises IOError with non-existent datafile input.""" |
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with pytest.raises(IOError) as oerr: |
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apexpy.Apex(fortranlib=self.bad_file) |
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assert str(oerr.value).startswith('Fortran library does not exist') |
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return |
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def test_repr_eval(self): |
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"""Test the Apex.__repr__ results.""" |
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# Initialize the apex object |
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self.apex_out = apexpy.Apex() |
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self.eval_date() |
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self.eval_refh() |
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# Get and test the repr string |
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out_str = self.apex_out.__repr__() |
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assert out_str.find("apexpy.Apex(") == 0 |
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# Test the ability to re-create the apex object from the repr string |
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new_apex = eval(out_str) |
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assert new_apex == self.apex_out |
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return |
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def test_str_eval(self): |
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"""Test the Apex.__str__ results.""" |
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# Initialize the apex object |
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self.apex_out = apexpy.Apex() |
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self.eval_date() |
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self.eval_refh() |
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# Get and test the printed string |
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out_str = self.apex_out.__str__() |
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assert out_str.find("Decimal year") > 0 |
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return |
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class TestApexMethod(): |
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"""Test the Apex methods.""" |
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def setup(self): |
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"""Initialize all tests.""" |
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self.apex_out = apexpy.Apex(date=2000, refh=300) |
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self.in_lat = 60 |
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self.in_lon = 15 |
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self.in_alt = 100 |
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def teardown(self): |
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"""Clean up after each test.""" |
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del self.apex_out, self.in_lat, self.in_lon, self.in_alt |
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def get_input_args(self, method_name, precision=0.0): |
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"""Set the input arguments for the different Apex methods. |
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Parameters |
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---------- |
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method_name : str |
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Name of the Apex class method |
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precision : float |
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Value for the precision (default=0.0) |
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Returns |
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------- |
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in_args : list |
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List of the appropriate input arguments |
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""" |
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in_args = [self.in_lat, self.in_lon, self.in_alt] |
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# Add precision, if needed |
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if method_name in ["_qd2geo", "apxq2g", "apex2geo", "qd2geo", |
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"_apex2geo"]: |
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in_args.append(precision) |
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# Add a reference height, if needed |
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if method_name in ["apxg2all"]: |
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in_args.append(300) |
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# Add a vector flag, if needed |
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if method_name in ["apxg2all", "apxg2q"]: |
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in_args.append(1) |
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return in_args |
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@pytest.mark.parametrize("apex_method,fortran_method,fslice", |
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[("_geo2qd", "apxg2q", slice(0, 2, 1)), |
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("_geo2apex", "apxg2all", slice(2, 4, 1)), |
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("_qd2geo", "apxq2g", slice(None)), |
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("_basevec", "apxg2q", slice(2, 4, 1))]) |
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@pytest.mark.parametrize("lat", [0, 30, 60, 89]) |
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@pytest.mark.parametrize("lon", [-179, -90, 0, 90, 180]) |
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def test_fortran_scalar_input(self, apex_method, fortran_method, fslice, |
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lat, lon): |
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"""Tests Apex/fortran interface consistency for scalars.""" |
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# Set the input coordinates |
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self.in_lat = lat |
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self.in_lon = lon |
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# Get the Apex class method and the fortran function call |
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apex_func = getattr(self.apex_out, apex_method) |
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fortran_func = getattr(apexpy.fortranapex, fortran_method) |
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# Get the appropriate input arguments |
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apex_args = self.get_input_args(apex_method) |
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fortran_args = self.get_input_args(fortran_method) |
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# Evaluate the equivalent function calls |
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np.testing.assert_allclose(apex_func(*apex_args), |
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fortran_func(*fortran_args)[fslice]) |
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return |
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@pytest.mark.parametrize("apex_method,fortran_method,fslice", |
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[("_geo2qd", "apxg2q", slice(0, 2, 1)), |
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("_geo2apex", "apxg2all", slice(2, 4, 1)), |
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("_qd2geo", "apxq2g", slice(None)), |
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("_basevec", "apxg2q", slice(2, 4, 1))]) |
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@pytest.mark.parametrize("lat", [0, 30, 60, 89]) |
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@pytest.mark.parametrize("lon1,lon2", [(180, 180), (-180, -180), |
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(180, -180), (-180, 180), |
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(-345, 15), (375, 15)]) |
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def test_fortran_longitude_rollover(self, apex_method, fortran_method, |
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fslice, lat, lon1, lon2): |
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"""Tests Apex/fortran interface consistency for longitude rollover.""" |
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# Set the fixed input coordinate |
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self.in_lat = lat |
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# Get the Apex class method and the fortran function call |
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apex_func = getattr(self.apex_out, apex_method) |
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fortran_func = getattr(apexpy.fortranapex, fortran_method) |
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# Get the appropriate input arguments |
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self.in_lon = lon1 |
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apex_args = self.get_input_args(apex_method) |
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self.in_lon = lon2 |
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fortran_args = self.get_input_args(fortran_method) |
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# Evaluate the equivalent function calls |
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np.testing.assert_allclose(apex_func(*apex_args), |
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fortran_func(*fortran_args)[fslice]) |
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return |
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@pytest.mark.parametrize("apex_method,fortran_method,fslice", |
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[("_geo2qd", "apxg2q", slice(0, 2, 1)), |
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("_geo2apex", "apxg2all", slice(2, 4, 1)), |
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("_qd2geo", "apxq2g", slice(None)), |
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("_basevec", "apxg2q", slice(2, 4, 1))]) |
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def test_fortran_array_input(self, apex_method, fortran_method, fslice): |
|
298
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"""Tests Apex/fortran interface consistency for array input.""" |
|
299
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# Get the Apex class method and the fortran function call |
|
300
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apex_func = getattr(self.apex_out, apex_method) |
|
301
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fortran_func = getattr(apexpy.fortranapex, fortran_method) |
|
302
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303
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# Set up the input arrays |
|
304
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ref_lat = np.array([0, 30, 60, 90]) |
|
305
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ref_alt = np.array([100, 200, 300, 400]) |
|
306
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self.in_lat = ref_lat.reshape((2, 2)) |
|
307
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self.in_alt = ref_alt.reshape((2, 2)) |
|
308
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apex_args = self.get_input_args(apex_method) |
|
309
|
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|
|
310
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# Get the Apex class results |
|
311
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aret = apex_func(*apex_args) |
|
312
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|
313
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# Get the fortran function results |
|
314
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flats = list() |
|
315
|
|
|
flons = list() |
|
316
|
|
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|
317
|
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for i, lat in enumerate(ref_lat): |
|
318
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self.in_lat = lat |
|
319
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|
self.in_alt = ref_alt[i] |
|
320
|
|
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fortran_args = self.get_input_args(fortran_method) |
|
321
|
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fret = fortran_func(*fortran_args)[fslice] |
|
322
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flats.append(fret[0]) |
|
323
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flons.append(fret[1]) |
|
324
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|
325
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flats = np.array(flats) |
|
326
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flons = np.array(flons) |
|
327
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|
328
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# Evaluate results |
|
329
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try: |
|
330
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# This returned value is array of floats |
|
331
|
|
|
np.testing.assert_allclose(aret[0].astype(float), |
|
332
|
|
|
flats.reshape((2, 2)).astype(float)) |
|
333
|
|
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np.testing.assert_allclose(aret[1].astype(float), |
|
334
|
|
|
flons.reshape((2, 2)).astype(float)) |
|
335
|
|
|
except ValueError: |
|
336
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|
|
# This returned value is array of arrays |
|
337
|
|
|
alats = aret[0].reshape((4,)) |
|
338
|
|
|
alons = aret[1].reshape((4,)) |
|
339
|
|
|
for i, flat in enumerate(flats): |
|
340
|
|
|
np.testing.assert_array_almost_equal(alats[i], flat, 2) |
|
341
|
|
|
np.testing.assert_array_almost_equal(alons[i], flons[i], 2) |
|
342
|
|
|
|
|
343
|
|
|
return |
|
344
|
|
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|
345
|
|
|
@pytest.mark.parametrize("lat", [0, 30, 60, 89]) |
|
346
|
|
|
@pytest.mark.parametrize("lon", [-179, -90, 0, 90, 180]) |
|
347
|
|
|
def test_geo2apexall_scalar(self, lat, lon): |
|
348
|
|
|
"""Test Apex/fortran geo2apexall interface consistency for scalars.""" |
|
349
|
|
|
# Get the Apex and Fortran results |
|
350
|
|
|
aret = self.apex_out._geo2apexall(lat, lon, self.in_alt) |
|
351
|
|
|
fret = apexpy.fortranapex.apxg2all(lat, lon, self.in_alt, 300, 1) |
|
352
|
|
|
|
|
353
|
|
|
# Evaluate each element in the results |
|
354
|
|
|
for aval, fval in zip(aret, fret): |
|
355
|
|
|
np.testing.assert_allclose(aval, fval) |
|
356
|
|
|
|
|
357
|
|
|
def test_geo2apexall_array(self): |
|
358
|
|
|
"""Test Apex/fortran geo2apexall interface consistency for arrays.""" |
|
359
|
|
|
# Set the input |
|
360
|
|
|
self.in_lat = np.array([0, 30, 60, 90]) |
|
361
|
|
|
self.in_alt = np.array([100, 200, 300, 400]) |
|
362
|
|
|
|
|
363
|
|
|
# Get the Apex class results |
|
364
|
|
|
aret = self.apex_out._geo2apexall(self.in_lat.reshape((2, 2)), |
|
365
|
|
|
self.in_lon, |
|
366
|
|
|
self.in_alt.reshape((2, 2))) |
|
367
|
|
|
|
|
368
|
|
|
# For each lat/alt pair, get the Fortran results |
|
369
|
|
|
fret = list() |
|
370
|
|
|
for i, lat in enumerate(self.in_lat): |
|
371
|
|
|
fret.append(apexpy.fortranapex.apxg2all(lat, self.in_lon, |
|
372
|
|
|
self.in_alt[i], 300, 1)) |
|
373
|
|
|
|
|
374
|
|
|
# Cycle through all returned values |
|
375
|
|
|
for i, ret in enumerate(aret): |
|
376
|
|
|
try: |
|
377
|
|
|
# This returned value is array of floats |
|
378
|
|
|
np.testing.assert_allclose(ret.astype(float), |
|
379
|
|
|
np.array([[fret[0][i], fret[1][i]], |
|
380
|
|
|
[fret[2][i], fret[3][i]]], |
|
381
|
|
|
dtype=float)) |
|
382
|
|
|
except ValueError: |
|
383
|
|
|
# This returned value is array of arrays |
|
384
|
|
|
ret = ret.reshape((4,)) |
|
385
|
|
|
for j, single_fret in enumerate(fret): |
|
386
|
|
|
np.testing.assert_allclose(ret[j], single_fret[i]) |
|
387
|
|
|
return |
|
388
|
|
|
|
|
389
|
|
|
@pytest.mark.parametrize("in_coord", ["geo", "apex", "qd"]) |
|
390
|
|
|
@pytest.mark.parametrize("out_coord", ["geo", "apex", "qd"]) |
|
391
|
|
|
def test_convert_consistency(self, in_coord, out_coord): |
|
392
|
|
|
"""Test the self-consistency of the Apex convert method.""" |
|
393
|
|
|
if in_coord == out_coord: |
|
394
|
|
|
pytest.skip("Test not needed for same src and dest coordinates") |
|
395
|
|
|
|
|
396
|
|
|
# Define the method name |
|
397
|
|
|
method_name = "2".join([in_coord, out_coord]) |
|
398
|
|
|
|
|
399
|
|
|
# Get the method and method inputs |
|
400
|
|
|
convert_kwargs = {'height': self.in_alt, 'precision': 0.0} |
|
401
|
|
|
apex_args = self.get_input_args(method_name) |
|
402
|
|
|
apex_method = getattr(self.apex_out, method_name) |
|
403
|
|
|
|
|
404
|
|
|
# Define the slice needed to get equivalent output from the named method |
|
405
|
|
|
mslice = slice(0, -1, 1) if out_coord == "geo" else slice(None) |
|
406
|
|
|
|
|
407
|
|
|
# Get output using convert and named method |
|
408
|
|
|
convert_out = self.apex_out.convert(self.in_lat, self.in_lon, in_coord, |
|
409
|
|
|
out_coord, **convert_kwargs) |
|
410
|
|
|
method_out = apex_method(*apex_args)[mslice] |
|
411
|
|
|
|
|
412
|
|
|
# Compare both outputs, should be identical |
|
413
|
|
|
np.testing.assert_allclose(convert_out, method_out) |
|
414
|
|
|
return |
|
415
|
|
|
|
|
416
|
|
|
@pytest.mark.parametrize("bound_lat", [90, -90]) |
|
417
|
|
|
@pytest.mark.parametrize("in_coord", ["geo", "apex", "qd"]) |
|
418
|
|
|
@pytest.mark.parametrize("out_coord", ["geo", "apex", "qd"]) |
|
419
|
|
|
def test_convert_at_lat_boundary(self, bound_lat, in_coord, out_coord): |
|
420
|
|
|
"""Test the conversion at the latitude boundary, with allowed excess.""" |
|
421
|
|
|
excess_lat = np.sign(bound_lat) * (abs(bound_lat) + 1.0e-5) |
|
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)) |
|
|
|
|
|
|
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
|
|
|
|
aburrell /
apexpy
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