52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
# Copyright (c) 2020 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 numpy as np
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from paddle.text.datasets import Imdb
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class TestImdbTrain(unittest.TestCase):
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def test_main(self):
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imdb = Imdb(mode='train')
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self.assertTrue(len(imdb) == 25000)
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# traversal whole dataset may cost a
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# long time, randomly check 1 sample
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idx = np.random.randint(0, 25000)
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data, label = imdb[idx]
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self.assertTrue(len(data.shape) == 1)
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self.assertTrue(label.shape[0] == 1)
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self.assertTrue(int(np.asarray(label).item()) in [0, 1])
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class TestImdbTest(unittest.TestCase):
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def test_main(self):
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imdb = Imdb(mode='test')
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self.assertTrue(len(imdb) == 25000)
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# traversal whole dataset may cost a
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# long time, randomly check 1 sample
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idx = np.random.randint(0, 25000)
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data, label = imdb[idx]
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self.assertTrue(len(data.shape) == 1)
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self.assertTrue(label.shape[0] == 1)
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self.assertTrue(int(np.asarray(label).item()) in [0, 1])
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if __name__ == '__main__':
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unittest.main()
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