| # ------------------------------------------------------------- |
| # |
| # 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 unittest |
| |
| import numpy as np |
| from systemds.context import SystemDSContext |
| from systemds.operator.algorithm import pca |
| |
| |
| class TestListOperations(unittest.TestCase): |
| |
| sds: SystemDSContext = None |
| |
| @classmethod |
| def setUpClass(cls): |
| cls.sds = SystemDSContext(capture_stdout=True, logging_level=50) |
| |
| @classmethod |
| def tearDownClass(cls): |
| cls.sds.close() |
| |
| def test_creation(self): |
| """ |
| Tests the creation of a List object via the SystemDSContext |
| """ |
| m1 = np.array([1.0, 2.0, 3.0]) |
| m1p = self.sds.from_numpy(m1) |
| m2 = np.array([4.0, 5.0, 6.0]) |
| m2p = self.sds.from_numpy(m2) |
| list_obj = self.sds.array(m1p, m2p) |
| tmp = list_obj[0] + list_obj[1] |
| res = tmp.compute().flatten() |
| self.assertTrue(np.allclose(m1 + m2, res)) |
| |
| def test_addition(self): |
| """ |
| Tests the creation of a List object via the SystemDSContext and adds a value |
| """ |
| m1 = np.array([1.0, 2.0, 3.0]) |
| m1p = self.sds.from_numpy(m1) |
| m2 = np.array([4.0, 5.0, 6.0]) |
| m2p = self.sds.from_numpy(m2) |
| list_obj = self.sds.array(m1p, m2p) |
| tmp = list_obj[0] + 2 |
| res = tmp.compute().flatten() |
| self.assertTrue(np.allclose(m1 + 2, res)) |
| |
| |
| if __name__ == "__main__": |
| unittest.main(exit=False) |