def test_get_optimal_sequence_caching(self):
"""Test caching of ``get_optimal_sequence()``."""
_, generator, _ = set_random_seed(seed=42)
for shapes in _generate_shapes(iterations=10, generator=generator):
# get optimal sequence
first_time = timeit.default_timer()
get_optimal_sequence(*shapes)
first_time = timeit.default_timer() - first_time
# check caching
samples, second_time = timeit.Timer(stmt="get_optimal_sequence(*shapes)", globals=dict(
get_optimal_sequence=get_optimal_sequence,
shapes=shapes,
)).autorange()
second_time /= samples
assert second_time < first_time
def test_get_optimal_sequence(self):
"""Test ``get_optimal_sequence()``."""
_, generator, _ = set_random_seed(seed=42)
for shapes in _generate_shapes(generator=generator):
# get optimal sequence
opt_cost, opt_seq = get_optimal_sequence(*shapes)
# check correct cost
exp_opt_cost = estimate_cost_of_sequence(*(shapes[i] for i in opt_seq))
assert exp_opt_cost == opt_cost
# check optimality
for perm in itertools.permutations(list(range(len(shapes)))):
cost = estimate_cost_of_sequence(*(shapes[i] for i in perm))
assert cost >= opt_cost
