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# -*- coding: utf-8 -*- |
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"""Test the apexpy.helper submodule |
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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 pytest |
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from apexpy import helpers |
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class TestHelpers(): |
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def setup(self): |
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self.in_shape = None |
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self.calc_val = None |
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self.test_val = None |
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def teardown(self): |
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del self.in_shape, self.calc_val, self.test_val |
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def eval_output(self, rtol=1e-7, atol=0.0): |
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"""Evaluate the values and shape of the calculated and expected output. |
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""" |
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np.testing.assert_allclose(self.calc_val, self.test_val, rtol=rtol, |
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atol=atol) |
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assert np.asarray(self.calc_val).shape == self.in_shape |
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return |
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def datetime64_to_datetime(self, dt64): |
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"""Convert numpy datetime64 object to a datetime datetime object. |
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Parameters |
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---------- |
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dt64 : np.datetime64 |
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Numpy datetime64 object |
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Returns |
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------- |
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dt.datetime |
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Equivalent datetime object with a resolution of days |
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Notes |
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----- |
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Works outside 32 bit int second range of 1970 |
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""" |
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year_floor = dt64.astype('datetime64[Y]') |
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month_floor = dt64.astype('datetime64[M]') |
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day_floor = dt64.astype('datetime64[D]') |
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year = year_floor.astype(int) + 1970 |
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month = (month_floor |
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- year_floor).astype('timedelta64[M]').astype(int) + 1 |
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day = (day_floor - month_floor).astype('timedelta64[D]').astype(int) + 1 |
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return dt.datetime(year, month, day) |
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@pytest.mark.parametrize('lat', [90, 0, -90, np.nan]) |
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def test_checklat_scalar(self, lat): |
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"""Test good latitude check with scalars.""" |
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if np.isnan(lat): |
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assert np.isnan(helpers.checklat(lat)) |
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else: |
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assert helpers.checklat(lat) == lat |
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return |
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@pytest.mark.parametrize('lat', [(90 + 1e-5), (-90 - 1e-5)]) |
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def test_checklat_scalar_clip(self, lat): |
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"""Test good latitude check with scalars just beyond the lat limits.""" |
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assert helpers.checklat(lat) == np.sign(lat) * np.floor(abs(lat)) |
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return |
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@pytest.mark.parametrize('in_args,msg', |
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[([90 + 1e-4], "lat must be in"), |
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([-90 - 1e-4, 'glat'], "glat must be in"), |
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([[-90 - 1e-5, -90, 0, 90, 90 + 1e-4], 'glat'], |
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"glat must be in"), |
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([[-90 - 1e-4, -90, np.nan, np.nan, 90 + 1e-5]], |
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'lat must be in')]) |
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def test_checklat_error(self, in_args, msg): |
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"""Test bad latitude raises ValueError with appropriate message.""" |
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with pytest.raises(ValueError) as verr: |
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helpers.checklat(*in_args) |
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assert str(verr.value).startswith(msg) |
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return |
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@pytest.mark.parametrize('lat,test_lat', |
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[(np.linspace(-90 - 1e-5, 90 + 1e-5, 3), |
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[-90, 0, 90]), |
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(np.linspace(-90, 90, 3), [-90, 0, 90]), |
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([-90 - 1e-5, 0, 90, np.nan], |
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[-90, 0, 90, np.nan])]) |
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def test_checklat_array(self, lat, test_lat): |
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"""Test good latitude with finite values.""" |
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self.calc_val = helpers.checklat(lat) |
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self.in_shape = np.asarray(lat).shape |
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self.test_val = test_lat |
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self.eval_output(atol=1e-8) |
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return |
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@pytest.mark.parametrize('lat,test_sin', [ |
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(60, 0.96076892283052284), (10, 0.33257924500670238), |
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([60, 10], [0.96076892283052284, 0.33257924500670238]), |
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([[60, 10], [60, 10]], [[0.96076892283052284, 0.33257924500670238], |
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[0.96076892283052284, 0.33257924500670238]])]) |
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def test_getsinIm(self, lat, test_sin): |
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"""Test sin(Im) calculation for scalar and array inputs.""" |
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self.calc_val = helpers.getsinIm(lat) |
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self.in_shape = np.asarray(lat).shape |
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self.test_val = test_sin |
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self.eval_output() |
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return |
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@pytest.mark.parametrize('lat,test_cos', [ |
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(60, 0.27735009811261463), (10, 0.94307531289434765), |
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([60, 10], [0.27735009811261463, 0.94307531289434765]), |
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([[60, 10], [60, 10]], [[0.27735009811261463, 0.94307531289434765], |
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[0.27735009811261463, 0.94307531289434765]])]) |
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def test_getcosIm(self, lat, test_cos): |
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"""Test cos(Im) calculation for scalar and array inputs.""" |
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self.calc_val = helpers.getcosIm(lat) |
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self.in_shape = np.asarray(lat).shape |
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self.test_val = test_cos |
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self.eval_output() |
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return |
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@pytest.mark.parametrize('in_time,year', [ |
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(dt.datetime(2001, 1, 1), 2001), (dt.date(2001, 1, 1), 2001), |
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(dt.datetime(2002, 1, 1), 2002), |
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(dt.datetime(2005, 2, 3, 4, 5, 6), 2005.090877283105), |
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(dt.datetime(2005, 12, 11, 10, 9, 8), 2005.943624682902)]) |
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def test_toYearFraction(self, in_time, year): |
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"""Test the datetime to fractional year calculation.""" |
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self.calc_val = helpers.toYearFraction(in_time) |
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np.testing.assert_allclose(self.calc_val, year) |
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return |
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@pytest.mark.parametrize('gc_lat,gd_lat', [ |
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(0, 0), (90, 90), (30, 30.166923849507356), (60, 60.166364190170931), |
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([0, 90, 30], [0, 90, 30.166923849507356]), |
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([[0, 30], [90, 60]], [[0, 30.16692384950735], |
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[90, 60.166364190170931]])]) |
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def test_gc2gdlat(self, gc_lat, gd_lat): |
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"""Test geocentric to geodetic calculation.""" |
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self.calc_val = helpers.gc2gdlat(gc_lat) |
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self.in_shape = np.asarray(gc_lat).shape |
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self.test_val = gd_lat |
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self.eval_output() |
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return |
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@pytest.mark.parametrize('in_time,test_loc', [ |
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(dt.datetime(2005, 2, 3, 4, 5, 6), (-16.505391672592904, |
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122.17768157084515)), |
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(dt.datetime(2010, 12, 11, 10, 9, 8), (-23.001554595838947, |
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26.008999999955023)), |
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(dt.datetime(1601, 1, 1, 0, 0, 0), (-23.06239721771427, |
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-178.90131731228584)), |
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(dt.datetime(2100, 12, 31, 23, 59, 59), (-23.021061422069053, |
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-179.23129780639425))]) |
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def test_subsol(self, in_time, test_loc): |
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"""Test the subsolar location calculation.""" |
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self.calc_val = helpers.subsol(in_time) |
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np.testing.assert_allclose(self.calc_val, test_loc) |
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return |
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@pytest.mark.parametrize('in_time', [dt.datetime(1600, 12, 31, 23, 59, 59), |
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dt.datetime(2101, 1, 1, 0, 0, 0)]) |
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def test_bad_subsol(self, in_time): |
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"""Test raises ValueError for bad time in subsolar calculation.""" |
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with pytest.raises(ValueError) as verr: |
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helpers.subsol(in_time) |
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assert str(verr.value).startswith('Year must be in') |
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return |
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def test_subsol_array(self): |
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"""Verify subsolar point calculation using an array of np.datetime64. |
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Notes |
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----- |
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Tested by ensuring the array of np.datetime64 is equivalent to |
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converting using single dt.datetime values |
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""" |
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in_dates = np.arange(np.datetime64("1601"), np.datetime64("2100"), |
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np.timedelta64(100, 'D')).astype('datetime64[s]') |
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sslat, sslon = helpers.subsol(in_dates) |
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# Test the shape of the output |
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assert sslat.shape == in_dates.shape |
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assert sslon.shape == in_dates.shape |
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# Test the values |
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for i, in_date in enumerate(in_dates): |
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dtime = self.datetime64_to_datetime(in_date) |
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true_sslat, true_sslon = helpers.subsol(dtime) |
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assert sslat[i] == true_sslat |
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assert sslon[i] == true_sslon |
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return |
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aburrell /
apexpy
