def test_make_label_by_time():
g2= make_label_by_time(get_training_samples(samp_gump))
r2 =(np.array([26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 36, 36, 36, 36, 36, 36, 36,
36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 38, 38, 38, 38,
38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38,
38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38,
38, 38, 38, 38, 38]),
np.array([128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 148, 149, 150,
164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176,
177, 178, 179, 180, 185, 186, 187, 188, 189, 190, 191, 192, 193,
194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206,
207, 208, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260,
261, 262, 263, 264, 265, 266, 267, 268]))
assert_almost_equal(g2,r2)
def test_get_training_samples():
r5 = np.array([128, 129, 130, 131, 132, 133, 134, 135, 136, 137])
f5= list(get_training_samples(samp_gump).values())[0]
assert_almost_equal(f5,r5)
