# Copyright (c) 2020 PaddlePaddle 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.

import unittest
import numpy as np

from paddle.text.datasets import *


class TestMovieReviewsTrain(unittest.TestCase):
    def test_main(self):
        movie_reviews = MovieReviews(mode='train')
        self.assertTrue(len(movie_reviews) == 1600)

        # traversal whole dataset may cost a
        # long time, randomly check 1 sample
        idx = np.random.randint(0, 1600)
        data = movie_reviews[idx]
        self.assertTrue(len(data) == 2)
        self.assertTrue(len(data[0].shape) == 1)
        self.assertTrue(int(data[1]) in [0, 1])


class TestMovieReviewsTest(unittest.TestCase):
    def test_main(self):
        movie_reviews = MovieReviews(mode='test')
        self.assertTrue(len(movie_reviews) == 400)

        # traversal whole dataset may cost a
        # long time, randomly check 1 sample
        idx = np.random.randint(0, 400)
        data = movie_reviews[idx]
        self.assertTrue(len(data) == 2)
        self.assertTrue(len(data[0].shape) == 1)
        self.assertTrue(int(data[1]) in [0, 1])


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