| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You under the Apache License, Version 2.0 |
| # (the "License"); you may not use this file except in compliance with |
| # the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| |
| import subprocess |
| import unittest |
| from os import path, remove |
| |
| from netCDF4 import Dataset |
| |
| from sdap.processors import callncpdq |
| |
| |
| class TestMeasuresData(unittest.TestCase): |
| |
| @unittest.skipIf(int(subprocess.call(["ncpdq", "-r"])) not in {0, 1}, "requires ncpdq") |
| def test_permute_all_variables(self): |
| dimension_order = ['Time', 'Latitude', 'Longitude'] |
| |
| the_module = callncpdq.CallNcpdq(dimension_order) |
| |
| expected_dimensions = dimension_order |
| |
| test_file = path.join(path.dirname(__file__), 'datafiles', 'not_empty_measures_alt.nc') |
| |
| output_path = list(the_module.process(test_file))[0] |
| |
| with Dataset(output_path) as ds: |
| sla_var = ds['SLA'] |
| actual_dimensions = [str(dim) for dim in sla_var.dimensions] |
| |
| remove(output_path) |
| self.assertEqual(expected_dimensions, actual_dimensions) |
| |
| @unittest.skipIf(int(subprocess.call(["ncpdq", "-r"])) not in {0, 1}, "requires ncpdq") |
| def test_permute_one_variable(self): |
| dimension_order = ['Time', 'Latitude', 'Longitude'] |
| permute_var = 'SLA' |
| |
| the_module = callncpdq.CallNcpdq(dimension_order, environ={"PERMUTE_VARIABLE": permute_var}) |
| |
| expected_dimensions = dimension_order |
| |
| test_file = path.join(path.dirname(__file__), 'datafiles', 'not_empty_measures_alt.nc') |
| |
| output_path = list(the_module.process(test_file))[0] |
| |
| with Dataset(output_path) as ds: |
| sla_var = ds[permute_var] |
| actual_dimensions = [str(dim) for dim in sla_var.dimensions] |
| |
| remove(output_path) |
| self.assertEqual(expected_dimensions, actual_dimensions) |