class MissingDatasetReaderTest(unittest.TestCase):
def setUp(self):
dataset_filepath = config.ROOT + '/python/test/resource/NFLX_dataset_public_raw.py'
dataset = import_python_file(dataset_filepath)
np.random.seed(0)
info_dict = {
'missing_probability': 0.1,
}
self.dataset_reader = MissingDataRawDatasetReader(dataset, input_dict=info_dict)
def test_opinion_score_2darray(self):
os_2darray = self.dataset_reader.opinion_score_2darray
self.assertTrue(np.isnan(np.mean(os_2darray)))
self.assertEquals(np.isnan(os_2darray).sum(), 201)
def test_to_dataset(self):
dataset = self.dataset_reader.to_dataset()
old_scores = [dis_video['os'] for dis_video in self.dataset_reader.dataset.dis_videos]
new_scores = [dis_video['os'] for dis_video in dataset.dis_videos]
self.assertNotEquals(old_scores, new_scores)
