def test_percentiles_weights_none(self):
"""Test it works for percentiles with weights set to None."""
coord = "time"
plugin = WeightedBlendAcrossWholeDimension(coord, 'weighted_mean')
weights = None
perc_cube = percentile_cube()
result = plugin.process(perc_cube, weights)
expected_result_array = np.reshape(BLENDED_PERCENTILE_DATA1, (6, 2, 2))
self.assertArrayAlmostEqual(result.data, expected_result_array)
def test_percentiles_different_coordinate_orders(self):
"""Test the result of the percentile aggregation is the same
regardless of the coordinate order in the input cube. Most
importantly, the result should be the same regardless of on which
side of the collapsing coordinate the percentile coordinate falls."""
coord = "time"
plugin = WeightedBlendAcrossWholeDimension(coord, 'weighted_mean')
weights = None
percentile_leading = percentile_cube()
time_leading = percentile_cube()
time_leading.transpose([1, 0, 2, 3])
result_percentile_leading = plugin.process(percentile_leading, weights)
result_time_leading = plugin.process(time_leading, weights)
expected_result_array = np.reshape(BLENDED_PERCENTILE_DATA1, (6, 2, 2))
self.assertArrayAlmostEqual(result_percentile_leading.data,
expected_result_array)
self.assertArrayAlmostEqual(result_time_leading.data,
expected_result_array)
def test_fails_more_than_one_perc_coord(self):
"""Test it raises a Value Error if more than one percentile coord."""
coord = "time"
plugin = WeightedBlendAcrossWholeDimension(coord, 'weighted_mean')
new_cube = percentile_cube()
new_cube.add_aux_coord(
AuxCoord([10.0], long_name="percentile_over_dummy"))
msg = ('There should only be one percentile coord ' 'on the cube.')
with self.assertRaisesRegexp(ValueError, msg):
plugin.process(new_cube)
