def test_make_samples():
samples = make_samples(0.5, Matrix([
[0.1, 0.7],
[0.9, 0.3],
]))
expected = {
(None, 0): 0.45, # 0.1 0.9
(1, 0): 0.8, # 0.7 0.9
(1, None): 0.35, # 0.7 0.3
}
for sample, weight in samples:
assert almost_equal(weight, expected[sample])
def test_make_samples_2x3():
samples = make_samples(0.5, Matrix([
[0.0, 0.9],
[0.3, 0.3],
[0.6, 0.9],
]))
# [None, 1],
# [None, None],
# [0, 1],
expected_samples = [
((None, None, 0), 0.2), # 0.0 0.3 0.6
((None, None, 1), 0.3), # 0.0 0.3 0.9
((None, None, 0), 0.2), # 0.0 0.3 0.6
((None, None, 1), 0.3), # 0.0 0.3 0.9
((1, None, 0), 0.5), # 0.9 0.3 0.6
((1, None, 1), 0.6), # 0.9 0.3 0.9
((1, None, 0), 0.5), # 0.9 0.3 0.6
((1, None, 1), 0.6), # 0.9 0.3 0.9
((1, None, None), 0.3), # 0.9 None None
]
for sample, weight in samples:
found = False
for expected_sample, expected_weight in list(expected_samples):
if sample == expected_sample and abs(weight - expected_weight) < 0.0001:
expected_samples.remove((expected_sample, expected_weight))
found = True
break
if not found:
assert False, 'unexpected sample %s with weight %s' % (sample, weight)