# 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 paddle from paddle.distribution import variable from paddle.distribution import constraint import parameterize as param paddle.seed(2022) @param.param_cls( (param.TEST_CASE_NAME, 'is_discrete', 'event_rank', 'constraint'), [('NotImplement', False, 0, constraint.Constraint())]) class TestVariable(unittest.TestCase): def setUp(self): self._var = variable.Variable(self.is_discrete, self.event_rank, self.constraint) @param.param_func([(1, )]) def test_costraint(self, value): with self.assertRaises(NotImplementedError): self._var.constraint(value) @param.param_cls((param.TEST_CASE_NAME, 'base', 'rank'), [('real_base', variable.real, 10)]) class TestIndependent(unittest.TestCase): def setUp(self): self._var = variable.Independent(self.base, self.rank) @param.param_func([ (paddle.rand([2, 3, 4]), ValueError), ]) def test_costraint(self, value, expect): with self.assertRaises(expect): self._var.constraint(value) @param.param_cls((param.TEST_CASE_NAME, 'vars', 'axis'), [('real_base', [variable.real], 10)]) class TestStack(unittest.TestCase): def setUp(self): self._var = variable.Stack(self.vars, self.axis) def test_is_discrete(self): self.assertEqual(self._var.is_discrete, False) @param.param_func([ (paddle.rand([2, 3, 4]), ValueError), ]) def test_costraint(self, value, expect): with self.assertRaises(expect): self._var.constraint(value) if __name__ == '__main__': unittest.main()