| # 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_prepare.py.""" |
| |
| from __future__ import absolute_import |
| from __future__ import division |
| from __future__ import print_function |
| |
| import csv |
| import json |
| import os |
| import unittest |
| from data_prepare import generate_negative_data |
| from data_prepare import prepare_original_data |
| from data_prepare import write_data |
| |
| |
| class TestPrepare(unittest.TestCase): |
| |
| def setUp(self): # pylint: disable=g-missing-super-call |
| self.file = "./%s/output_%s_%s.txt" % (folders[0], folders[0], names[0]) # pylint: disable=undefined-variable |
| self.data = [] |
| prepare_original_data(folders[0], names[0], self.data, self.file) # pylint: disable=undefined-variable |
| |
| def test_prepare_data(self): |
| num = 0 |
| with open(self.file, "r") as f: |
| lines = csv.reader(f) |
| for idx, line in enumerate(lines): # pylint: disable=unused-variable |
| if len(line) == 3 and line[2] == "-": |
| num += 1 |
| self.assertEqual(len(self.data), num) |
| self.assertIsInstance(self.data, list) |
| self.assertIsInstance(self.data[0], dict) |
| self.assertEqual(list(self.data[-1]), ["gesture", "accel_ms2_xyz", "name"]) |
| self.assertEqual(self.data[0]["name"], names[0]) # pylint: disable=undefined-variable |
| |
| def test_generate_negative(self): |
| original_len = len(self.data) |
| generate_negative_data(self.data) |
| self.assertEqual(original_len + 300, len(self.data)) |
| generated_num = 0 |
| for idx, data in enumerate(self.data): # pylint: disable=unused-variable |
| if data["name"] == "negative6" or data["name"] == "negative7" or data[ |
| "name"] == "negative8": |
| generated_num += 1 |
| self.assertEqual(generated_num, 300) |
| |
| def test_write_data(self): |
| data_path_test = "./data/data0" |
| write_data(self.data, data_path_test) |
| with open(data_path_test, "r") as f: |
| lines = f.readlines() |
| self.assertEqual(len(lines), len(self.data)) |
| self.assertEqual(json.loads(lines[0]), self.data[0]) |
| self.assertEqual(json.loads(lines[-1]), self.data[-1]) |
| os.remove(data_path_test) |
| |
| |
| if __name__ == "__main__": |
| unittest.main() |
