56 lines
2.0 KiB
56 lines
2.0 KiB
# /usr/bin/env python
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# -*- coding:utf-8 -*-
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# Copyright (c) 2016 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 nltk
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import paddle.dataset.sentiment as st
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from nltk.corpus import movie_reviews
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class TestSentimentMethods(unittest.TestCase):
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def test_get_word_dict(self):
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word_dict = st.get_word_dict()[0:10]
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test_word_list = [(u',', 0), (u'the', 1), (u'.', 2), (u'a', 3),
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(u'and', 4), (u'of', 5), (u'to', 6), (u"'", 7),
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(u'is', 8), (u'in', 9)]
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for idx, each in enumerate(word_dict):
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self.assertEqual(each, test_word_list[idx])
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self.assertTrue("/root/.cache/paddle/dataset" in nltk.data.path)
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def test_sort_files(self):
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last_label = ''
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for sample_file in st.sort_files():
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current_label = sample_file.split("/")[0]
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self.assertNotEqual(current_label, last_label)
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last_label = current_label
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def test_data_set(self):
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data_set = st.load_sentiment_data()
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last_label = -1
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for each in st.test():
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self.assertNotEqual(each[1], last_label)
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last_label = each[1]
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self.assertEqual(len(data_set), st.NUM_TOTAL_INSTANCES)
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self.assertEqual(len(list(st.train())), st.NUM_TRAINING_INSTANCES)
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self.assertEqual(
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len(list(st.test())),
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(st.NUM_TOTAL_INSTANCES - st.NUM_TRAINING_INSTANCES))
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if __name__ == '__main__':
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unittest.main()
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