# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. # # Licensed 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 import paddle from paddle.distribution import constraint import parameterize as param np.random.seed(2022) @param.param_cls((param.TEST_CASE_NAME, 'value'), [('NotImplement', np.random.rand(2, 3))]) class TestConstraint(unittest.TestCase): def setUp(self): self._constraint = constraint.Constraint() def test_costraint(self): with self.assertRaises(NotImplementedError): self._constraint(self.value) @param.param_cls((param.TEST_CASE_NAME, 'value', 'expect'), [('real', 1., True)]) class TestReal(unittest.TestCase): def setUp(self): self._constraint = constraint.Real() def test_costraint(self): self.assertEqual(self._constraint(self.value), self.expect) @param.param_cls((param.TEST_CASE_NAME, 'lower', 'upper', 'value', 'expect'), [('in_range', 0, 1, 0.5, True), ('out_range', 0, 1, 2, False)]) class TestRange(unittest.TestCase): def setUp(self): self._constraint = constraint.Range(self.lower, self.upper) def test_costraint(self): self.assertEqual(self._constraint(self.value), self.expect) @param.param_cls((param.TEST_CASE_NAME, 'value', 'expect'), [('positive', 1, True), ('negative', -1, False)]) class TestPositive(unittest.TestCase): def setUp(self): self._constraint = constraint.Positive() def test_costraint(self): self.assertEqual(self._constraint(self.value), self.expect) @param.param_cls((param.TEST_CASE_NAME, 'value', 'expect'), [('simplex', paddle.to_tensor([0.5, 0.5]), True), ('non_simplex', paddle.to_tensor([-0.5, 0.5]), False)]) class TestSimplex(unittest.TestCase): def setUp(self): self._constraint = constraint.Simplex() def test_costraint(self): self.assertEqual(self._constraint(self.value), self.expect) if __name__ == '__main__': unittest.main()