| # Lint as: python3 |
| # Copyright 2019 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. |
| # ============================================================================== |
| |
| """Test for data_split_person.py.""" |
| |
| from __future__ import absolute_import |
| from __future__ import division |
| from __future__ import print_function |
| |
| import unittest |
| from data_split_person import person_split |
| from data_split_person import read_data |
| |
| |
| class TestSplitPerson(unittest.TestCase): |
| |
| def setUp(self): # pylint: disable=g-missing-super-call |
| self.data = read_data("./data/complete_data") |
| |
| def test_person_split(self): |
| train_names = ["dengyl"] |
| valid_names = ["liucx"] |
| test_names = ["tangsy"] |
| dengyl_num = 63 |
| liucx_num = 63 |
| tangsy_num = 30 |
| train_data, valid_data, test_data = person_split(self.data, train_names, |
| valid_names, test_names) |
| self.assertEqual(len(train_data), dengyl_num) |
| self.assertEqual(len(valid_data), liucx_num) |
| self.assertEqual(len(test_data), tangsy_num) |
| self.assertIsInstance(train_data, list) |
| self.assertIsInstance(valid_data, list) |
| self.assertIsInstance(test_data, list) |
| self.assertIsInstance(train_data[0], dict) |
| self.assertIsInstance(valid_data[0], dict) |
| self.assertIsInstance(test_data[0], dict) |
| |
| |
| if __name__ == "__main__": |
| unittest.main() |
