78 lines
3.3 KiB
Python
78 lines
3.3 KiB
Python
# Lint as: python3
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# Copyright 2019 The TensorFlow 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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# ==============================================================================
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"""Test for data_split.py."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import json
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import unittest
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from data_split import read_data
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from data_split import split_data
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class TestSplit(unittest.TestCase):
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def setUp(self): # pylint: disable=g-missing-super-call
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self.data = read_data("./data/complete_data")
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self.num_dic = {"wing": 0, "ring": 0, "slope": 0, "negative": 0}
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with open("./data/complete_data", "r") as f:
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lines = f.readlines()
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self.num = len(lines)
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def test_read_data(self):
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self.assertEqual(len(self.data), self.num)
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self.assertIsInstance(self.data, list)
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self.assertIsInstance(self.data[0], dict)
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self.assertEqual(
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set(list(self.data[-1])), set(["gesture", "accel_ms2_xyz", "name"]))
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def test_split_data(self):
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with open("./data/complete_data", "r") as f:
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lines = f.readlines()
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for idx, line in enumerate(lines): # pylint: disable=unused-variable
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dic = json.loads(line)
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for ges in self.num_dic:
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if dic["gesture"] == ges:
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self.num_dic[ges] += 1
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train_data_0, valid_data_0, test_data_100 = split_data(self.data, 0, 0)
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train_data_50, valid_data_50, test_data_0 = split_data(self.data, 0.5, 0.5)
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train_data_60, valid_data_20, test_data_20 = split_data(self.data, 0.6, 0.2)
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len_60 = int(self.num_dic["wing"] * 0.6) + int(
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self.num_dic["ring"] * 0.6) + int(self.num_dic["slope"] * 0.6) + int(
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self.num_dic["negative"] * 0.6)
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len_50 = int(self.num_dic["wing"] * 0.5) + int(
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self.num_dic["ring"] * 0.5) + int(self.num_dic["slope"] * 0.5) + int(
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self.num_dic["negative"] * 0.5)
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len_20 = int(self.num_dic["wing"] * 0.2) + int(
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self.num_dic["ring"] * 0.2) + int(self.num_dic["slope"] * 0.2) + int(
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self.num_dic["negative"] * 0.2)
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self.assertEqual(len(train_data_0), 0)
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self.assertEqual(len(train_data_50), len_50)
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self.assertEqual(len(train_data_60), len_60)
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self.assertEqual(len(valid_data_0), 0)
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self.assertEqual(len(valid_data_50), len_50)
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self.assertEqual(len(valid_data_20), len_20)
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self.assertEqual(len(test_data_100), self.num)
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self.assertEqual(len(test_data_0), (self.num - 2 * len_50))
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self.assertEqual(len(test_data_20), (self.num - len_60 - len_20))
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if __name__ == "__main__":
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unittest.main()
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