def test_json_deserialization(s, transition):
objects = [
Direction.CAUSE,
s.network, # Network
s, # Subsystem
models.Bipartition(models.Part((0, ), ()), models.Part((1, ), (2, 3))),
models.KPartition(models.Part((0, ), ()), models.Part((1, ), (2, 3))),
models.Tripartition(models.Part((0, ), ()), models.Part((1, ), (2, 3)),
models.Part((3, ), (4, ))),
models.Cut((0, ), (2, )),
models.NullCut((0, 1)),
models.KCut(
Direction.CAUSE,
models.KPartition(models.Part((0, ), ()), models.Part((1, ),
(2, 3)))),
s.concept((1, 2)),
s.concept((1, )),
compute.ces(s),
compute.sia(s),
transition,
transition.find_actual_cause((0, ), (0, )),
actual.account(transition),
actual.sia(transition)
]
for o in objects:
loaded = jsonify.loads(jsonify.dumps(o))
assert loaded == o
def test_ac_ex1_transition(transition):
"""Basic regression test for ac_ex1 example."""
cause_account = actual.account(transition, Direction.CAUSE)
assert len(cause_account) == 1
cria = cause_account[0].ria
assert cria.mechanism == (0,)
assert cria.purview == (1,)
assert cria.direction == Direction.CAUSE
assert cria.state == (1, 0, 0)
assert cria.alpha == 0.415037
assert cria.probability == 0.66666666666666663
assert cria.partitioned_probability == 0.5
assert cria.partition == models.Bipartition(
models.Part((), (1,)), models.Part((0,), ())
)
effect_account = actual.account(transition, Direction.EFFECT)
assert len(effect_account) == 2
eria0 = effect_account[0].ria
eria1 = effect_account[1].ria
assert eria0.mechanism == (1,)
assert eria0.purview == (0,)
assert eria0.direction == Direction.EFFECT
assert eria0.state == (0, 1, 1)
assert eria0.alpha == 0.415037
assert eria0.probability == 1.0
assert eria0.partitioned_probability == 0.75
assert eria0.partition == models.Bipartition(
models.Part((), (0,)), models.Part((1,), ())
)
assert eria1.mechanism == (2,)
assert eria1.purview == (0,)
assert eria1.direction == Direction.EFFECT
assert eria1.state == (0, 1, 1)
assert eria1.alpha == 0.415037
assert eria1.probability == 1.0
assert eria1.partitioned_probability == 0.75
assert eria1.partition == models.Bipartition(
models.Part((), (0,)), models.Part((2,), ())
)
def bipartition(node_labels):
return models.Bipartition(models.Part((0, ), (0, 4)),
models.Part((), (1, )),
node_labels=node_labels)
def bipartition():
return models.Bipartition(models.Part((0, ), (0, 4)), models.Part((),
(1, )))