def test_ts_features_single_feature(self):
# test that only one feature can be calculated
d = ts_features(np.random.random(10), features=['Shannon entropy'])
self.assertEqual(len(d), 1)
return
def test_ts_features_numbers(self):
# test that all the features are calculated
d = ts_features(np.random.random(100))
self.assertEqual(len(d), 21)
return
def test_stats_list(self):
d = ts_features(np.random.random(10).tolist())
self.assertGreater(len(d), 1)
return
def test_stats_slice(self):
d = ts_features(np.random.random(100), st=10, en=50)
self.assertEqual(d['Counts'], 40)
return
def test_stats_pd(self):
d = ts_features(pd.Series(np.random.random(10)))
self.assertGreater(len(d), 1)
return