# -*- coding: utf-8 -*- # ----------------------------------------------------------------------------- # (C) British Crown Copyright 2017-2021 Met Office. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, this # list of conditions and the following disclaimer. # # * Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # # * Neither the name of the copyright holder nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. """ Tests of precipitation_type utilities""" import numpy as np import pytest from iris.exceptions import CoordinateNotFoundError from improver.metadata.constants import FLOAT_DTYPE from improver.precipitation_type.utilities import make_shower_condition_cube from improver.synthetic_data.set_up_test_cubes import set_up_probability_cube def set_up_test_cube(n_thresholds=1): """Set up a cube testing shower condition conversion""" thresholds = np.arange(n_thresholds) shape = [2, 2] shape = [n_thresholds, *shape] if n_thresholds > 0 else shape data = np.ones(shape, dtype=FLOAT_DTYPE) cube = set_up_probability_cube( data, thresholds, variable_name="texture_of_cloud_area_fraction", threshold_units=1, spatial_grid="equalarea", ) return cube def test_basic(): """Test that with a valid input the cube is transformed into a shower condition cube.""" cube = set_up_test_cube() result = make_shower_condition_cube(cube) threshold_coord = result.coord(var_name="threshold") assert result.name() == "probability_of_shower_condition_above_threshold" assert result.dtype == FLOAT_DTYPE assert (result.data == cube.data).all() assert threshold_coord.name() == "shower_condition" assert threshold_coord.units == 1 def test_no_threshold_coord(): """Test an exception is raised if the proxy diagnostic cube does not have a threshold coordinate.""" cube = set_up_test_cube() cube.remove_coord("texture_of_cloud_area_fraction") expected = "Input has no threshold coordinate and cannot be used" with pytest.raises(CoordinateNotFoundError, match=expected): make_shower_condition_cube(cube) def test_multi_valued_threshold_coord(): """Test an exception is raised if the proxy diagnostic cube has a multi valued threshold coordinate.""" cube = set_up_test_cube(n_thresholds=2) expected = "Expected a single valued threshold coordinate.*" with pytest.raises(ValueError, match=expected): make_shower_condition_cube(cube)