chore: import upstream snapshot with attribution
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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import parameterize as param
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import paddle
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from paddle.distribution import constraint, variable
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paddle.seed(2022)
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@param.param_cls(
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(param.TEST_CASE_NAME, 'is_discrete', 'event_rank', 'constraint'),
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[('NotImplement', False, 0, constraint.Constraint())],
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)
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class TestVariable(unittest.TestCase):
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def setUp(self):
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self._var = variable.Variable(
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self.is_discrete, self.event_rank, self.constraint
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)
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@param.param_func([(1,)])
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def test_costraint(self, value):
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with self.assertRaises(NotImplementedError):
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self._var.constraint(value)
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@param.param_cls(
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(param.TEST_CASE_NAME, 'base', 'rank'), [('real_base', variable.real, 10)]
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)
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class TestIndependent(unittest.TestCase):
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def setUp(self):
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self._var = variable.Independent(self.base, self.rank)
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@param.param_func(
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[
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(paddle.rand([2, 3, 4]), ValueError),
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]
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)
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def test_costraint(self, value, expect):
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with self.assertRaises(expect):
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self._var.constraint(value)
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@param.param_cls(
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(param.TEST_CASE_NAME, 'vars', 'axis'), [('real_base', [variable.real], 10)]
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)
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class TestStack(unittest.TestCase):
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def setUp(self):
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self._var = variable.Stack(self.vars, self.axis)
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def test_is_discrete(self):
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self.assertEqual(self._var.is_discrete, False)
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@param.param_func(
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[
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(paddle.rand([2, 3, 4]), ValueError),
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]
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)
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def test_costraint(self, value, expect):
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with self.assertRaises(expect):
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self._var.constraint(value)
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if __name__ == '__main__':
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unittest.main()
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