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| 1 | +# Copyright 2024 The dm_control Authors. |
| 2 | +# |
| 3 | +# Licensed under the Apache License, Version 2.0 (the "License"); |
| 4 | +# you may not use this file except in compliance with the License. |
| 5 | +# You may obtain a copy of the License at |
| 6 | +# |
| 7 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 8 | +# |
| 9 | +# Unless required by applicable law or agreed to in writing, software |
| 10 | +# distributed under the License is distributed on an "AS IS" BASIS, |
| 11 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 12 | +# See the License for the specific language governing permissions and |
| 13 | +# limitations under the License. |
| 14 | +# ============================================================================ |
| 15 | + |
| 16 | +from absl.testing import absltest |
| 17 | +from dm_control.composer import variation |
| 18 | +from dm_control.composer.variation import distributions |
| 19 | +from dm_control.composer.variation import variation_broadcaster |
| 20 | +import numpy as np |
| 21 | + |
| 22 | + |
| 23 | +class VariationBroadcasterTest(absltest.TestCase): |
| 24 | + |
| 25 | + def test_can_generate_values(self): |
| 26 | + random_state = np.random.RandomState(2348) |
| 27 | + expected_values = [random_state.uniform(0, 1) for _ in range(5)] |
| 28 | + |
| 29 | + random_state = np.random.RandomState(2348) |
| 30 | + broadcaster = variation_broadcaster.VariationBroadcaster( |
| 31 | + distributions.Uniform(0, 1) |
| 32 | + ) |
| 33 | + proxy_1 = broadcaster.get_proxy() |
| 34 | + proxy_2 = broadcaster.get_proxy() |
| 35 | + proxy_3 = broadcaster.get_proxy() |
| 36 | + |
| 37 | + self.assertEqual( |
| 38 | + variation.evaluate(proxy_1, random_state=random_state), |
| 39 | + expected_values[0], |
| 40 | + ) |
| 41 | + self.assertEqual( |
| 42 | + variation.evaluate(proxy_2, random_state=random_state), |
| 43 | + expected_values[0], |
| 44 | + ) |
| 45 | + self.assertEqual( |
| 46 | + variation.evaluate(proxy_3, random_state=random_state), |
| 47 | + expected_values[0], |
| 48 | + ) |
| 49 | + |
| 50 | + self.assertEqual( |
| 51 | + variation.evaluate(proxy_1, random_state=random_state), |
| 52 | + expected_values[1], |
| 53 | + ) |
| 54 | + self.assertEqual( |
| 55 | + variation.evaluate(proxy_1, random_state=random_state), |
| 56 | + expected_values[2], |
| 57 | + ) |
| 58 | + |
| 59 | + self.assertEqual( |
| 60 | + variation.evaluate(proxy_2, random_state=random_state), |
| 61 | + expected_values[1], |
| 62 | + ) |
| 63 | + self.assertEqual( |
| 64 | + variation.evaluate(proxy_3, random_state=random_state), |
| 65 | + expected_values[1], |
| 66 | + ) |
| 67 | + self.assertEqual( |
| 68 | + variation.evaluate(proxy_3, random_state=random_state), |
| 69 | + expected_values[2], |
| 70 | + ) |
| 71 | + |
| 72 | + self.assertEqual( |
| 73 | + variation.evaluate(proxy_3, random_state=random_state), |
| 74 | + expected_values[3], |
| 75 | + ) |
| 76 | + self.assertEqual( |
| 77 | + variation.evaluate(proxy_1, random_state=random_state), |
| 78 | + expected_values[3], |
| 79 | + ) |
| 80 | + self.assertEqual( |
| 81 | + variation.evaluate(proxy_2, random_state=random_state), |
| 82 | + expected_values[2], |
| 83 | + ) |
| 84 | + |
| 85 | + self.assertEqual( |
| 86 | + variation.evaluate(proxy_1, random_state=random_state), |
| 87 | + expected_values[4], |
| 88 | + ) |
| 89 | + self.assertEqual( |
| 90 | + variation.evaluate(proxy_2, random_state=random_state), |
| 91 | + expected_values[3], |
| 92 | + ) |
| 93 | + self.assertEqual( |
| 94 | + variation.evaluate(proxy_2, random_state=random_state), |
| 95 | + expected_values[4], |
| 96 | + ) |
| 97 | + self.assertEqual( |
| 98 | + variation.evaluate(proxy_3, random_state=random_state), |
| 99 | + expected_values[4], |
| 100 | + ) |
| 101 | + |
| 102 | + |
| 103 | +if __name__ == '__main__': |
| 104 | + absltest.main() |
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