def test_raises_error_points_mismatch_and_no_bounds(self):
"""Test raises Value Error if points mismatch and no bounds """
cube_wg = self.cube_wg
cube_wg.coord('time').points = [402192.5, 402194.5]
plugin = WindGustDiagnostic(self.wg_perc, self.ws_perc)
msg = ('Could not match time coordinate')
with self.assertRaisesRegex(ValueError, msg):
plugin.process(cube_wg, self.cube_ws)
def test_raises_error_points_mismatch_and_bounds(self):
"""Test raises Value Error if both points and bounds mismatch """
cube_wg = self.cube_wg
cube_wg.coord('time').points = [402192.0, 402193.0]
cube_wg.coord('time').bounds = [[402191.0, 402192.0],
[402192.0, 402193.0]]
plugin = WindGustDiagnostic(self.wg_perc, self.ws_perc)
msg = ('Could not match time coordinate')
with self.assertRaisesRegex(ValueError, msg):
plugin.process(cube_wg, self.cube_ws)
def test_raises_error_for_no_time_coord(self):
"""Test raises Value Error if cubes have no time coordinate """
cube_wg = self.cube_wg[:, 0, ::]
cube_ws = self.cube_ws[:, 0, ::]
cube_wg.remove_coord('time')
cube_wg = iris.util.squeeze(cube_wg)
plugin = WindGustDiagnostic(self.wg_perc, self.ws_perc)
msg = ('Could not match time coordinate')
with self.assertRaisesRegex(ValueError, msg):
plugin.process(cube_wg, cube_ws)
def test_raises_error_for_mismatching_perc_coords(self):
"""Test raises an error for mismatching perc coords. """
plugin = WindGustDiagnostic(self.wg_perc, self.ws_perc)
data_wg = np.zeros((1, 2, 2, 2))
data_wg[0, 0, :, :] = 3.0
data_wg[0, 1, :, :] = 1.5
gust = "wind_speed_of_gust"
cube_wg = (create_cube_with_percentile_coord(
data=data_wg,
perc_values=[self.wg_perc],
standard_name=gust,
perc_name='percentile_dummy'))
msg = ('Percentile coord of wind-gust data'
'does not match coord of wind-speed data')
with self.assertRaisesRegex(ValueError, msg):
plugin.process(cube_wg, self.cube_ws)
def test_returns_wind_gust_diagnostic(self):
"""Test that the plugin returns a Cube. """
plugin = WindGustDiagnostic(self.wg_perc, self.ws_perc)
result = plugin.process(self.cube_wg, self.cube_ws)
expected_data = np.zeros((2, 2, 2))
expected_data[0, :, :] = 3.0
expected_data[1, :, :] = 2.0
self.assertArrayAlmostEqual(result.data, expected_data)
self.assertEqual(result.attributes['wind_gust_diagnostic'],
'Typical gusts')
def test_no_raises_error_if_ws_point_in_bounds(self):
"""Test raises no Value Error if wind-speed point in bounds """
cube_wg = self.cube_wg
cube_wg.coord('time').points = [402192.0, 402193.0]
cube_wg.coord('time').bounds = [[402191.5, 402192.5],
[402192.5, 402193.5]]
plugin = WindGustDiagnostic(self.wg_perc, self.ws_perc)
result = plugin.process(cube_wg, self.cube_ws)
self.assertIsInstance(result, Cube)
def test_basic(self):
"""Test that the plugin returns a Cube. """
plugin = WindGustDiagnostic(self.wg_perc, self.ws_perc)
result = plugin.process(self.cube_wg, self.cube_ws)
self.assertIsInstance(result, Cube)