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| # Copyright 2017 The TensorFlow 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. | |
| # ============================================================================== | |
| """Tests for unittest_utils.""" | |
| import numpy as np | |
| import io | |
| from PIL import Image as PILImage | |
| import tensorflow as tf | |
| from datasets import unittest_utils | |
| class UnittestUtilsTest(tf.test.TestCase): | |
| def test_creates_an_image_of_specified_shape(self): | |
| image, _ = unittest_utils.create_random_image('PNG', (10, 20, 3)) | |
| self.assertEqual(image.shape, (10, 20, 3)) | |
| def test_encoded_image_corresponds_to_numpy_array(self): | |
| image, encoded = unittest_utils.create_random_image('PNG', (20, 10, 3)) | |
| pil_image = PILImage.open(io.BytesIO(encoded)) | |
| self.assertAllEqual(image, np.array(pil_image)) | |
| def test_created_example_has_correct_values(self): | |
| example_serialized = unittest_utils.create_serialized_example({ | |
| 'labels': [1, 2, 3], | |
| 'data': [b'FAKE'] | |
| }) | |
| example = tf.train.Example() | |
| example.ParseFromString(example_serialized) | |
| self.assertProtoEquals(""" | |
| features { | |
| feature { | |
| key: "labels" | |
| value { int64_list { | |
| value: 1 | |
| value: 2 | |
| value: 3 | |
| }} | |
| } | |
| feature { | |
| key: "data" | |
| value { bytes_list { | |
| value: "FAKE" | |
| }} | |
| } | |
| } | |
| """, example) | |
| if __name__ == '__main__': | |
| tf.test.main() | |