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| # Copyright 2024 Big Vision Authors. | |
| # | |
| # 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. | |
| """Tests for preprocessing utils.""" | |
| from __future__ import absolute_import | |
| from __future__ import division | |
| from __future__ import print_function | |
| from big_vision.pp import utils | |
| import tensorflow.compat.v1 as tf | |
| class UtilsTest(tf.test.TestCase): | |
| def test_maybe_repeat(self): | |
| self.assertEqual((1, 1, 1), utils.maybe_repeat(1, 3)) | |
| self.assertEqual((1, 2), utils.maybe_repeat((1, 2), 2)) | |
| self.assertEqual([1, 2], utils.maybe_repeat([1, 2], 2)) | |
| def test_inkeyoutkey(self): | |
| def get_pp_fn(shift, scale=0): | |
| def _pp_fn(x): | |
| return scale * x + shift | |
| return _pp_fn | |
| data = {"k_in": 2, "other": 3} | |
| ppfn = get_pp_fn(1, 2, inkey="k_in", outkey="k_out") # pylint: disable=unexpected-keyword-arg | |
| self.assertEqual({"k_in": 2, "k_out": 5, "other": 3}, ppfn(data)) | |
| data = {"k": 6, "other": 3} | |
| ppfn = get_pp_fn(1, inkey="k", outkey="k") # pylint: disable=unexpected-keyword-arg | |
| self.assertEqual({"k": 1, "other": 3}, ppfn(data)) | |
| data = {"other": 6, "image": 3} | |
| ppfn = get_pp_fn(5, 2) | |
| self.assertEqual({"other": 6, "image": 11}, ppfn(data)) | |
| if __name__ == "__main__": | |
| tf.test.main() | |