# 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.
# ==============================================================================
# pylint: disable=g-bad-import-order

"""Test for data_augmentation.py."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import unittest

import numpy as np

from data_augmentation import augment_data
from data_augmentation import time_wrapping


class TestAugmentation(unittest.TestCase):

    def test_time_wrapping(self):
        original_data = np.random.rand(10, 3).tolist()
        wrapped_data = time_wrapping(4, 5, original_data)
        self.assertEqual(len(wrapped_data), int(len(original_data) / 4 - 1) * 5)
        self.assertEqual(len(wrapped_data[0]), len(original_data[0]))

    def test_augment_data(self):
        original_data = [
                np.random.rand(128, 3).tolist(),
                np.random.rand(66, 2).tolist(),
                np.random.rand(9, 1).tolist()
        ]
        original_label = ["data", "augmentation", "test"]
        augmented_data, augmented_label = augment_data(original_data,
                                                                                                     original_label)
        self.assertEqual(25 * len(original_data), len(augmented_data))
        self.assertIsInstance(augmented_data, list)
        self.assertEqual(25 * len(original_label), len(augmented_label))
        self.assertIsInstance(augmented_label, list)
        for i in range(len(original_label)):    # pylint: disable=consider-using-enumerate
            self.assertEqual(augmented_label[25 * i], original_label[i])


if __name__ == "__main__":
    unittest.main()