| # ------------------------------------------------------------- |
| # |
| # 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.matrix import Matrix |
| |
| |
| class TestMatrixOneHot(unittest.TestCase): |
| |
| sds: SystemDSContext = None |
| |
| @classmethod |
| def setUpClass(cls): |
| cls.sds = SystemDSContext() |
| |
| @classmethod |
| def tearDownClass(cls): |
| cls.sds.close() |
| |
| def test_one_hot_1(self): |
| m1 = np.array([1]) |
| res = Matrix(self.sds, m1).to_one_hot(3).compute() |
| self.assertTrue((res == [[1, 0, 0]]).all()) |
| |
| def test_one_hot_2(self): |
| m1 = np.array([2]) |
| res = Matrix(self.sds, m1).to_one_hot(3).compute() |
| self.assertTrue((res == [[0, 1, 0]]).all()) |
| |
| def test_one_hot_3(self): |
| m1 = np.array([2]) |
| res = Matrix(self.sds, m1).to_one_hot(2).compute() |
| self.assertTrue((res == [[0, 1]]).all()) |
| |
| def test_one_hot_2_2(self): |
| m1 = np.array([2, 2]) |
| res = Matrix(self.sds, m1).to_one_hot(2).compute() |
| self.assertTrue((res == [[0, 1], [0, 1]]).all()) |
| |
| def test_one_hot_1_2(self): |
| m1 = np.array([1, 2]) |
| res = Matrix(self.sds, m1).to_one_hot(2).compute() |
| self.assertTrue((res == [[1, 0], [0, 1]]).all()) |
| |
| def test_one_hot_1_2(self): |
| m1 = np.array([1, 2, 2]) |
| res = Matrix(self.sds, m1).to_one_hot(2).compute() |
| self.assertTrue((res == [[1, 0], [0, 1], [0, 1]]).all()) |
| |
| # TODO make tests for runtime errors, like this one |
| # def test_neg_one_hot_toHighValue(self): |
| # m1 = np.array([3]) |
| # with self.assertRaises(ValueError) as context: |
| # res = Matrix(self.sds, m1).to_one_hot(2).compute() |
| |
| def test_one_hot_matrix_1(self): |
| m1 = np.array([[1],[2],[3]]) |
| res = Matrix(self.sds, m1).to_one_hot(3).compute() |
| self.assertTrue((res == [[1,0,0], [0,1,0], [0,0,1]]).all()) |
| |
| def test_one_hot_matrix_2(self): |
| m1 = np.array([[1],[3],[3]]) |
| res = Matrix(self.sds, m1).to_one_hot(3).compute() |
| self.assertTrue((res == [[1,0,0], [0,0,1], [0,0,1]]).all()) |
| |
| def test_one_hot_matrix_3(self): |
| m1 = np.array([[1],[2],[1]]) |
| res = Matrix(self.sds, m1).to_one_hot(2).compute() |
| self.assertTrue((res == [[1,0], [0,1], [1,0]]).all()) |
| |
| def test_neg_one_hot_numClasses(self): |
| m1 = np.array([1]) |
| with self.assertRaises(ValueError) as context: |
| res = Matrix(self.sds, m1).to_one_hot(1).compute() |
| |
| def test_neg_one_hot_inputShape(self): |
| m1 = np.array([[1]]) |
| with self.assertRaises(ValueError) as context: |
| res = Matrix(self.sds, m1).to_one_hot(1).compute() |
| |
| |
| if __name__ == "__main__": |
| unittest.main(exit=False) |