test_helpers.TestHelpers.test_check_set_array_float_success() - Code Metrics - Inspection of "RC v2.1.0" - aburrell/apexpy - Measure and Improve Code Quality continuously with Scrutinizer

Passed

Pull Request — main (#147)

by Angeline

created 2024-12-30 23:46 UTC

TestHelpers.test_check_set_array_float_success() A

↳ Parent: test_helpers

Complexity

Conditions

Size

Total Lines	21
Code Lines	9

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	1
eloc	9
nop	2
dl	0
loc	21
rs	9.95
c	0
b	0
f	0

# -*- coding: utf-8 -*-
"""Test the apexpy.helper submodule

Notes
-----
Whenever function outputs are tested against hard-coded numbers, the test
results (numbers) were obtained by running the code that is tested.  Therefore,
these tests below only check that nothing changes when refactoring, etc., and
not if the results are actually correct.

These results are expected to change when IGRF is updated.

"""

import datetime as dt
import numpy as np
import pytest

from apexpy import helpers


def datetime64_to_datetime(dt64):
    """Convert numpy datetime64 object to a datetime datetime object.

    Parameters
    ----------
    dt64 : np.datetime64
        Numpy datetime64 object

    Returns
    -------
    dt.datetime
        Equivalent datetime object with a resolution of days

    Notes
    -----
    Works outside 32 bit int second range of 1970

    """
    year_floor = dt64.astype('datetime64[Y]')
    month_floor = dt64.astype('datetime64[M]')
    day_floor = dt64.astype('datetime64[D]')
    year = year_floor.astype(int) + 1970
    month = (month_floor
             - year_floor).astype('timedelta64[M]').astype(int) + 1
    day = (day_floor - month_floor).astype('timedelta64[D]').astype(int) + 1
    return dt.datetime(year, month, day)


class TestHelpers(object):
    """Test class for the helper sub-module."""

    def setup_method(self):
        """Set up a clean test environment."""
        self.in_shape = None
        self.calc_val = None
        self.test_val = None

    def teardown_method(self):
        """Clean up the test environment."""
        del self.in_shape, self.calc_val, self.test_val

    def eval_output(self, rtol=1e-7, atol=0.0):
        """Evaluate the values and shape of the calced and expected output."""
        np.testing.assert_allclose(self.calc_val, self.test_val, rtol=rtol,
                                   atol=atol)
        assert np.asarray(self.calc_val).shape == self.in_shape
        return

    @pytest.mark.parametrize('val', [90, np.nan, None, [20.0], True])
    def test_check_set_array_float_no_modify(self, val):
        """Test `set_array_float` with inputs that won't be modified.

        Parameters
        ----------
        val : any but np.array
            Value without a 'dtype' attribute

        """
        self.calc_val = helpers.set_array_float(val)

        if val is None:
            assert self.calc_val is None
        elif np.isnan(val):
            assert np.isnan(self.calc_val)
        else:
            assert self.calc_val == val
        return

    @pytest.mark.parametrize('dtype', [int, float, bool, object])
    def test_check_set_array_float_success(self, dtype):
        """Test `set_array_float` modifies array inputs.

        Parameters
        ----------
        dtype : dtype
            Data type to use when creating input array

        """
        self.in_shape = (2,)
        self.calc_val = helpers.set_array_float(
            np.ones(shape=self.in_shape, dtype=dtype))

        # Test that the output dtype is as expected
        assert self.calc_val.dtype == np.float64

        # Ensure values are unity
        self.test_val = np.ones(shape=self.in_shape, dtype=np.float64)
        self.eval_output()
        return

    @pytest.mark.parametrize('lat', [90, 0, -90, np.nan])
    def test_checklat_scalar(self, lat):
        """Test good latitude check with scalars.

        Parameters
        ----------
        lat : int or float
            Latitude in degrees N

        """
        self.calc_val = helpers.checklat(lat)

        if np.isnan(lat):
            assert np.isnan(self.calc_val)
        else:
            assert self.calc_val == lat
        return

    @pytest.mark.parametrize('lat', [(90 + 1e-5), (-90 - 1e-5)])
    def test_checklat_scalar_clip(self, lat):
        """Test good latitude check with scalars just beyond the lat limits.

        Parameters
        ----------
        lat : int or float
            Latitude in degrees N

        """
        self.calc_val = helpers.checklat(lat)
        self.test_val = np.sign(lat) * np.floor(abs(lat))
        assert self.calc_val == self.test_val
        return

    @pytest.mark.parametrize('in_args,msg',
                             [([90 + 1e-4], "lat must be in"),
                              ([-90 - 1e-4, 'glat'], "glat must be in"),
                              ([[-90 - 1e-5, -90, 0, 90, 90 + 1e-4], 'glat'],
                               "glat must be in"),
                              ([[-90 - 1e-4, -90, np.nan, np.nan, 90 + 1e-5]],
                               'lat must be in')])
    def test_checklat_error(self, in_args, msg):
        """Test bad latitude raises ValueError with appropriate message.

        Parameters
        ----------
        in_args : list
            List of input arguments
        msg : str
            Expected error message

        """
        with pytest.raises(ValueError) as verr:
            helpers.checklat(*in_args)

        assert str(verr.value).startswith(msg)
        return

    @pytest.mark.parametrize('lat,test_lat',
                             [(np.linspace(-90 - 1e-5, 90 + 1e-5, 3),
                               [-90, 0, 90]),
                              (np.linspace(-90, 90, 3), [-90, 0, 90]),
                              ([-90 - 1e-5, 0, 90, np.nan],
                               [-90, 0, 90, np.nan]),
                              ([[-90, 0], [0, 90]], [[-90, 0], [0, 90]]),
                              ([[-90], [0], [90]], [[-90], [0], [90]])])
    def test_checklat_array(self, lat, test_lat):
        """Test good latitude with finite values.

        Parameters
        ----------
        lat : array-like
            Latitudes in degrees N
        test_lat : list-like
            Output latitudes in degrees N

        """
        self.calc_val = helpers.checklat(lat)
        self.in_shape = np.asarray(lat).shape
        self.test_val = test_lat
        self.eval_output(atol=1e-8)
        return

    @pytest.mark.parametrize('lat,test_sin', [
        (60, 0.96076892283052284), (10, 0.33257924500670238),
        ([60, 10], [0.96076892283052284, 0.33257924500670238]),
        ([[60, 10], [60, 10]], [[0.96076892283052284, 0.33257924500670238],
                                [0.96076892283052284, 0.33257924500670238]])])
    def test_getsinIm(self, lat, test_sin):
        """Test sin(Im) calculation for scalar and array inputs.

        Parameters
        ----------
        lat : float
            Latitude in degrees N
        test_sin : float
            Output value

        """
        self.calc_val = helpers.getsinIm(lat)
        self.in_shape = np.asarray(lat).shape
        self.test_val = test_sin
        self.eval_output()
        return

    @pytest.mark.parametrize('lat,test_cos', [
        (60, 0.27735009811261463), (10, 0.94307531289434765),
        ([60, 10], [0.27735009811261463, 0.94307531289434765]),
        ([[60, 10], [60, 10]], [[0.27735009811261463, 0.94307531289434765],
                                [0.27735009811261463, 0.94307531289434765]])])
    def test_getcosIm(self, lat, test_cos):
        """Test cos(Im) calculation for scalar and array inputs.

        Parameters
        ----------
        lat : float
            Latitude in degrees N
        test_cos : float
            Expected output

        """
        self.calc_val = helpers.getcosIm(lat)
        self.in_shape = np.asarray(lat).shape
        self.test_val = test_cos
        self.eval_output()
        return

    @pytest.mark.parametrize('in_time,year', [
        (dt.datetime(2001, 1, 1), 2001), (dt.date(2001, 1, 1), 2001),
        (dt.datetime(2002, 1, 1), 2002),
        (dt.datetime(2005, 2, 3, 4, 5, 6), 2005.090877283105),
        (dt.datetime(2005, 12, 11, 10, 9, 8), 2005.943624682902)])
    def test_toYearFraction(self, in_time, year):
        """Test the datetime to fractional year calculation.

        Parameters
        ----------
        in_time : dt.datetime or dt.date
            Input time in a datetime format
        year : int or float
            Output year with fractional values

        """
        self.calc_val = helpers.toYearFraction(in_time)
        np.testing.assert_allclose(self.calc_val, year)
        return

    @pytest.mark.parametrize('gc_lat,gd_lat', [
        (0, 0), (90, 90), (30, 30.166923849507356), (60, 60.166364190170931),
        ([0, 90, 30], [0, 90, 30.166923849507356]),
        ([[0, 30], [90, 60]], [[0, 30.16692384950735],
                               [90, 60.166364190170931]])])
    def test_gc2gdlat(self, gc_lat, gd_lat):
        """Test geocentric to geodetic calculation.

        Parameters
        ----------
        gc_lat : int or float
            Geocentric latitude in degrees N
        gd_lat : int or float
            Geodetic latitude in degrees N

        """
        self.calc_val = helpers.gc2gdlat(gc_lat)
        self.in_shape = np.asarray(gc_lat).shape
        self.test_val = gd_lat
        self.eval_output()
        return

    @pytest.mark.parametrize('in_time,test_loc', [
        (dt.datetime(2005, 2, 3, 4, 5, 6), (-16.505391672592904,
                                            122.17768157084515)),
        (dt.datetime(2010, 12, 11, 10, 9, 8), (-23.001554595838947,
                                               26.008999999955023)),
        (dt.datetime(2021, 11, 20, 12, 12, 12, 500000),
         (-19.79733856741465, -6.635177076865062)),
        (dt.datetime(1601, 1, 1, 0, 0, 0), (-23.06239721771427,
                                            -178.90131731228584)),
        (dt.datetime(2100, 12, 31, 23, 59, 59), (-23.021061422069053,
                                                 -179.23129780639425))])
    def test_subsol(self, in_time, test_loc):
        """Test the subsolar location calculation.

        Parameters
        ----------
        in_time : dt.datetime
            Input time
        test_loc : tuple
            Expected output

        """
        self.calc_val = helpers.subsol(in_time)
        np.testing.assert_allclose(self.calc_val, test_loc)
        return

    @pytest.mark.parametrize('in_time', [dt.datetime(1600, 12, 31, 23, 59, 59),
                                         dt.datetime(2101, 1, 1, 0, 0, 0)])
    def test_bad_subsol_date(self, in_time):
        """Test raises ValueError for bad time in subsolar calculation.

        Parameters
        ----------
        in_time : dt.datetime
            Input time

        """
        with pytest.raises(ValueError) as verr:
            helpers.subsol(in_time)

        assert str(verr.value).startswith('Year must be in')
        return

    @pytest.mark.parametrize('in_time', [None, 2015.0])
    def test_bad_subsol_input(self, in_time):
        """Test raises ValueError for bad input type in subsolar calculation.

        Parameters
        ----------
        in_time : NoneType or float
            Badly formatted input time

        """
        with pytest.raises(ValueError) as verr:
            helpers.subsol(in_time)

        assert str(verr.value).startswith('input must be datetime')
        return

    @pytest.mark.parametrize('in_dates', [
        np.arange(np.datetime64("2000"), np.datetime64("2001"),
                  np.timedelta64(1, 'M')).astype('datetime64[s]').reshape((3,
                                                                           4)),
        np.arange(np.datetime64("1601"), np.datetime64("2100"),
                  np.timedelta64(1, 'Y')).astype('datetime64[s]')])
    def test_subsol_datetime64_array(self, in_dates):
        """Verify subsolar point calculation using an array of np.datetime64.

        Parameters
        ----------
        in_time : array-like
            Array of input times

        Notes
        -----
        Tested by ensuring the array of np.datetime64 is equivalent to
        converting using single dt.datetime values

        """
        # Get the datetime64 output
        ss_out = helpers.subsol(in_dates)

        # Get the datetime scalar output for comparison
        self.in_shape = in_dates.shape
        true_out = [list(), list()]
        for in_date in in_dates.flatten():
            dtime = datetime64_to_datetime(in_date)
            out = helpers.subsol(dtime)
            true_out[0].append(out[0])
            true_out[1].append(out[1])

        # Evaluate the two outputs
        for i, self.calc_val in enumerate(ss_out):

            self.test_val = np.array(true_out[i]).reshape(self.in_shape)
            self.eval_output()

        return


1			# -- coding: utf-8 --
2			"""Test the apexpy.helper submodule
3
4			Notes
5			-----
6			Whenever function outputs are tested against hard-coded numbers, the test
7			results (numbers) were obtained by running the code that is tested. Therefore,
8			these tests below only check that nothing changes when refactoring, etc., and
9			not if the results are actually correct.
10
11			These results are expected to change when IGRF is updated.
12
13			"""
14
15			import datetime as dt
16			import numpy as np
17			import pytest
18
19			from apexpy import helpers
20
21
22			def datetime64_to_datetime(dt64):
23			"""Convert numpy datetime64 object to a datetime datetime object.
24
25			Parameters
26			----------
27			dt64 : np.datetime64
28			Numpy datetime64 object
29
30			Returns
31			-------
32			dt.datetime
33			Equivalent datetime object with a resolution of days
34
35			Notes
36			-----
37			Works outside 32 bit int second range of 1970
38
39			"""
40			year_floor = dt64.astype('datetime64[Y]')
41			month_floor = dt64.astype('datetime64[M]')
42			day_floor = dt64.astype('datetime64[D]')
43			year = year_floor.astype(int) + 1970
44			month = (month_floor
45			- year_floor).astype('timedelta64[M]').astype(int) + 1
46			day = (day_floor - month_floor).astype('timedelta64[D]').astype(int) + 1
47			return dt.datetime(year, month, day)
48
49
50			class TestHelpers(object):
51			"""Test class for the helper sub-module."""
52
53			def setup_method(self):
54			"""Set up a clean test environment."""
55			self.in_shape = None
56			self.calc_val = None
57			self.test_val = None
58
59			def teardown_method(self):
60			"""Clean up the test environment."""
61			del self.in_shape, self.calc_val, self.test_val
62
63			def eval_output(self, rtol=1e-7, atol=0.0):
64			"""Evaluate the values and shape of the calced and expected output."""
65			np.testing.assert_allclose(self.calc_val, self.test_val, rtol=rtol,
66			atol=atol)
67			assert np.asarray(self.calc_val).shape == self.in_shape
68			return
69
70			@pytest.mark.parametrize('val', [90, np.nan, None, [20.0], True])
71			def test_check_set_array_float_no_modify(self, val):
72			"""Test `set_array_float` with inputs that won't be modified.
73
74			Parameters
75			----------
76			val : any but np.array
77			Value without a 'dtype' attribute
78
79			"""
80			self.calc_val = helpers.set_array_float(val)
81
82			if val is None:
83			assert self.calc_val is None
84			elif np.isnan(val):
85			assert np.isnan(self.calc_val)
86			else:
87			assert self.calc_val == val
88			return
89
90			@pytest.mark.parametrize('dtype', [int, float, bool, object])
91			def test_check_set_array_float_success(self, dtype):
92			"""Test `set_array_float` modifies array inputs.
93
94			Parameters
95			----------
96			dtype : dtype
97			Data type to use when creating input array
98
99			"""
100			self.in_shape = (2,)
101			self.calc_val = helpers.set_array_float(
102			np.ones(shape=self.in_shape, dtype=dtype))
103
104			# Test that the output dtype is as expected
105			assert self.calc_val.dtype == np.float64
106
107			# Ensure values are unity
108			self.test_val = np.ones(shape=self.in_shape, dtype=np.float64)
109			self.eval_output()
110			return
111
112			@pytest.mark.parametrize('lat', [90, 0, -90, np.nan])
113			def test_checklat_scalar(self, lat):
114			"""Test good latitude check with scalars.
115
116			Parameters
117			----------
118			lat : int or float
119			Latitude in degrees N
120
121			"""
122			self.calc_val = helpers.checklat(lat)
123
124			if np.isnan(lat):
125			assert np.isnan(self.calc_val)
126			else:
127			assert self.calc_val == lat
128			return
129
130			@pytest.mark.parametrize('lat', [(90 + 1e-5), (-90 - 1e-5)])
131			def test_checklat_scalar_clip(self, lat):
132			"""Test good latitude check with scalars just beyond the lat limits.
133
134			Parameters
135			----------
136			lat : int or float
137			Latitude in degrees N
138
139			"""
140			self.calc_val = helpers.checklat(lat)
141			self.test_val = np.sign(lat) * np.floor(abs(lat))
142			assert self.calc_val == self.test_val
143			return
144
145			@pytest.mark.parametrize('in_args,msg',
146			[([90 + 1e-4], "lat must be in"),
147			([-90 - 1e-4, 'glat'], "glat must be in"),
148			([[-90 - 1e-5, -90, 0, 90, 90 + 1e-4], 'glat'],
149			"glat must be in"),
150			([[-90 - 1e-4, -90, np.nan, np.nan, 90 + 1e-5]],
151			'lat must be in')])
152			def test_checklat_error(self, in_args, msg):
153			"""Test bad latitude raises ValueError with appropriate message.
154
155			Parameters
156			----------
157			in_args : list
158			List of input arguments
159			msg : str
160			Expected error message
161
162			"""
163			with pytest.raises(ValueError) as verr:
164			helpers.checklat(*in_args)
165
166			assert str(verr.value).startswith(msg)
167			return
168
169			@pytest.mark.parametrize('lat,test_lat',
170			[(np.linspace(-90 - 1e-5, 90 + 1e-5, 3),
171			[-90, 0, 90]),
172			(np.linspace(-90, 90, 3), [-90, 0, 90]),
173			([-90 - 1e-5, 0, 90, np.nan],
174			[-90, 0, 90, np.nan]),
175			([[-90, 0], [0, 90]], [[-90, 0], [0, 90]]),
176			([[-90], [0], [90]], [[-90], [0], [90]])])
177			def test_checklat_array(self, lat, test_lat):
178			"""Test good latitude with finite values.
179
180			Parameters
181			----------
182			lat : array-like
183			Latitudes in degrees N
184			test_lat : list-like
185			Output latitudes in degrees N
186
187			"""
188			self.calc_val = helpers.checklat(lat)
189			self.in_shape = np.asarray(lat).shape
190			self.test_val = test_lat
191			self.eval_output(atol=1e-8)
192			return
193
194			@pytest.mark.parametrize('lat,test_sin', [
195			(60, 0.96076892283052284), (10, 0.33257924500670238),
196			([60, 10], [0.96076892283052284, 0.33257924500670238]),
197			([[60, 10], [60, 10]], [[0.96076892283052284, 0.33257924500670238],
198			[0.96076892283052284, 0.33257924500670238]])])
199			def test_getsinIm(self, lat, test_sin):
200			"""Test sin(Im) calculation for scalar and array inputs.
201
202			Parameters
203			----------
204			lat : float
205			Latitude in degrees N
206			test_sin : float
207			Output value
208
209			"""
210			self.calc_val = helpers.getsinIm(lat)
211			self.in_shape = np.asarray(lat).shape
212			self.test_val = test_sin
213			self.eval_output()
214			return
215
216			@pytest.mark.parametrize('lat,test_cos', [
217			(60, 0.27735009811261463), (10, 0.94307531289434765),
218			([60, 10], [0.27735009811261463, 0.94307531289434765]),
219			([[60, 10], [60, 10]], [[0.27735009811261463, 0.94307531289434765],
220			[0.27735009811261463, 0.94307531289434765]])])
221			def test_getcosIm(self, lat, test_cos):
222			"""Test cos(Im) calculation for scalar and array inputs.
223
224			Parameters
225			----------
226			lat : float
227			Latitude in degrees N
228			test_cos : float
229			Expected output
230
231			"""
232			self.calc_val = helpers.getcosIm(lat)
233			self.in_shape = np.asarray(lat).shape
234			self.test_val = test_cos
235			self.eval_output()
236			return
237
238			@pytest.mark.parametrize('in_time,year', [
239			(dt.datetime(2001, 1, 1), 2001), (dt.date(2001, 1, 1), 2001),
240			(dt.datetime(2002, 1, 1), 2002),
241			(dt.datetime(2005, 2, 3, 4, 5, 6), 2005.090877283105),
242			(dt.datetime(2005, 12, 11, 10, 9, 8), 2005.943624682902)])
243			def test_toYearFraction(self, in_time, year):
244			"""Test the datetime to fractional year calculation.
245
246			Parameters
247			----------
248			in_time : dt.datetime or dt.date
249			Input time in a datetime format
250			year : int or float
251			Output year with fractional values
252
253			"""
254			self.calc_val = helpers.toYearFraction(in_time)
255			np.testing.assert_allclose(self.calc_val, year)
256			return
257
258			@pytest.mark.parametrize('gc_lat,gd_lat', [
259			(0, 0), (90, 90), (30, 30.166923849507356), (60, 60.166364190170931),
260			([0, 90, 30], [0, 90, 30.166923849507356]),
261			([[0, 30], [90, 60]], [[0, 30.16692384950735],
262			[90, 60.166364190170931]])])
263			def test_gc2gdlat(self, gc_lat, gd_lat):
264			"""Test geocentric to geodetic calculation.
265
266			Parameters
267			----------
268			gc_lat : int or float
269			Geocentric latitude in degrees N
270			gd_lat : int or float
271			Geodetic latitude in degrees N
272
273			"""
274			self.calc_val = helpers.gc2gdlat(gc_lat)
275			self.in_shape = np.asarray(gc_lat).shape
276			self.test_val = gd_lat
277			self.eval_output()
278			return
279
280			@pytest.mark.parametrize('in_time,test_loc', [
281			(dt.datetime(2005, 2, 3, 4, 5, 6), (-16.505391672592904,
282			122.17768157084515)),
283			(dt.datetime(2010, 12, 11, 10, 9, 8), (-23.001554595838947,
284			26.008999999955023)),
285			(dt.datetime(2021, 11, 20, 12, 12, 12, 500000),
286			(-19.79733856741465, -6.635177076865062)),
287			(dt.datetime(1601, 1, 1, 0, 0, 0), (-23.06239721771427,
288			-178.90131731228584)),
289			(dt.datetime(2100, 12, 31, 23, 59, 59), (-23.021061422069053,
290			-179.23129780639425))])
291			def test_subsol(self, in_time, test_loc):
292			"""Test the subsolar location calculation.
293
294			Parameters
295			----------
296			in_time : dt.datetime
297			Input time
298			test_loc : tuple
299			Expected output
300
301			"""
302			self.calc_val = helpers.subsol(in_time)
303			np.testing.assert_allclose(self.calc_val, test_loc)
304			return
305
306			@pytest.mark.parametrize('in_time', [dt.datetime(1600, 12, 31, 23, 59, 59),
307			dt.datetime(2101, 1, 1, 0, 0, 0)])
308			def test_bad_subsol_date(self, in_time):
309			"""Test raises ValueError for bad time in subsolar calculation.
310
311			Parameters
312			----------
313			in_time : dt.datetime
314			Input time
315
316			"""
317			with pytest.raises(ValueError) as verr:
318			helpers.subsol(in_time)
319
320			assert str(verr.value).startswith('Year must be in')
321			return
322
323			@pytest.mark.parametrize('in_time', [None, 2015.0])
324			def test_bad_subsol_input(self, in_time):
325			"""Test raises ValueError for bad input type in subsolar calculation.
326
327			Parameters
328			----------
329			in_time : NoneType or float
330			Badly formatted input time
331
332			"""
333			with pytest.raises(ValueError) as verr:
334			helpers.subsol(in_time)
335
336			assert str(verr.value).startswith('input must be datetime')
337			return
338
339			@pytest.mark.parametrize('in_dates', [
340			np.arange(np.datetime64("2000"), np.datetime64("2001"),
341			np.timedelta64(1, 'M')).astype('datetime64[s]').reshape((3,
342			4)),
343			np.arange(np.datetime64("1601"), np.datetime64("2100"),
344			np.timedelta64(1, 'Y')).astype('datetime64[s]')])
345			def test_subsol_datetime64_array(self, in_dates):
346			"""Verify subsolar point calculation using an array of np.datetime64.
347
348			Parameters
349			----------
350			in_time : array-like
351			Array of input times
352
353			Notes
354			-----
355			Tested by ensuring the array of np.datetime64 is equivalent to
356			converting using single dt.datetime values
357
358			"""
359			# Get the datetime64 output
360			ss_out = helpers.subsol(in_dates)
361
362			# Get the datetime scalar output for comparison
363			self.in_shape = in_dates.shape
364			true_out = [list(), list()]
365			for in_date in in_dates.flatten():
366			dtime = datetime64_to_datetime(in_date)
367			out = helpers.subsol(dtime)
368			true_out[0].append(out[0])
369			true_out[1].append(out[1])
370
371			# Evaluate the two outputs
372			for i, self.calc_val in enumerate(ss_out):
			0 ignored issues – show Comprehensibility Best Practice introduced 2021-04-30 13:04 UTC by Report Bug Copy Issue Report The variable `self` does not seem to be defined. Loading history...
373			self.test_val = np.array(true_out[i]).reshape(self.in_shape)
374			self.eval_output()
375
376			return
377

aburrell / apexpy

Pull Request — main (#147)

TestHelpers.test_check_set_array_float_success() A

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