| # ------------------------------------------------------------- |
| # |
| # 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 cov |
| |
| |
| A = np.array([2, 4, 4, 2]) |
| B = np.array([2, 4, 2, 4]) |
| W = np.array([7, 1, 1, 1]) |
| C = np.array([0, 1, 2]) |
| D = np.array([2, 1, 0]) |
| E = np.array([2, 1, 0]) |
| F = np.array([2, 1, 0]) |
| |
| |
| class TestCOV(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_cov1(self): |
| sds_result = cov(self.sds.from_numpy(A), self.sds.from_numpy(B)).compute() |
| np_result = np.cov(A, B) |
| self.assertTrue(np.allclose(sds_result, np_result[0, 1], 1e-9)) |
| |
| def test_cov2(self): |
| sds_result = cov(self.sds.from_numpy(C), self.sds.from_numpy(D)).compute() |
| np_result = np.cov(C, D) |
| self.assertTrue(np.allclose(sds_result, np_result[0, 1], 1e-9)) |
| |
| def test_cov3(self): |
| sds_result = cov(self.sds.from_numpy(E), self.sds.from_numpy(F)).compute() |
| np_result = np.cov(E, F) |
| self.assertTrue(np.allclose(sds_result, np_result[0, 1], 1e-9)) |
| |
| def test_cov4(self): |
| sds_result = cov( |
| self.sds.from_numpy(A), self.sds.from_numpy(B), self.sds.from_numpy(W) |
| ).compute() |
| np_result = np.cov(A, B, fweights=W) |
| self.assertTrue(np.allclose(sds_result, np_result[0, 1], 1e-9)) |
| |
| |
| if __name__ == "__main__": |
| unittest.main(exit=False) |