def test_factor_type():
lg1 = pbn.LinearGaussianCPD("a", [])
lg2 = pbn.LinearGaussianCPD("b", ["a"])
lg3 = pbn.LinearGaussianCPD("c", ["b", "a"])
assert lg1.type() == pbn.LinearGaussianCPDType()
assert lg1.type() == lg2.type()
assert lg1.type() == lg3.type()
assert lg2.type() == lg3.type()
c1 = pbn.CKDE("a", [])
c2 = pbn.CKDE("b", ["a"])
c3 = pbn.CKDE("c", ["b", "a"])
assert c1.type() == pbn.CKDEType()
assert c1.type() == c2.type()
assert c1.type() == c3.type()
assert c2.type() == c3.type()
d1 = pbn.DiscreteFactor("a", [])
d2 = pbn.DiscreteFactor("b", ["a"])
d3 = pbn.DiscreteFactor("c", ["b", "a"])
assert d1.type() == pbn.DiscreteFactorType()
assert d1.type() == d2.type()
assert d1.type() == d3.type()
assert d2.type() == d3.type()
assert lg1.type() != c1.type()
assert lg1.type() != d1.type()
assert c1.type() != d1.type()
def test_serialization_unfitted_factor(lg_bytes, ckde_bytes, discrete_bytes,
new_bytes, newbis_bytes):
loaded_lg = pickle.loads(lg_bytes)
assert loaded_lg.variable() == "c"
assert set(loaded_lg.evidence()) == set(["a", "b"])
assert not loaded_lg.fitted()
assert loaded_lg.type() == pbn.LinearGaussianCPDType()
loaded_ckde = pickle.loads(ckde_bytes)
assert loaded_ckde.variable() == "c"
assert set(loaded_ckde.evidence()) == set(["a", "b"])
assert not loaded_ckde.fitted()
assert loaded_ckde.type() == pbn.CKDEType()
loaded_discrete = pickle.loads(discrete_bytes)
assert loaded_discrete.variable() == "c"
assert set(loaded_discrete.evidence()) == set(["a", "b"])
assert not loaded_discrete.fitted()
assert loaded_discrete.type() == pbn.DiscreteFactorType()
loaded_new = pickle.loads(new_bytes)
assert loaded_new.variable() == "c"
assert set(loaded_new.evidence()) == set(["a", "b"])
assert not loaded_new.fitted()
assert type(loaded_new.type()) == NewType
nn = NewFactor("a", [])
assert loaded_new.type() == nn.type()
from pybnesian import GaussianNetwork
dummy_network = GaussianNetwork(["a", "b", "c", "d"])
assert type(loaded_new.type().new_factor(dummy_network, "a",
[])) == NewFactor
loaded_newbis = pickle.loads(newbis_bytes)
assert loaded_newbis.variable() == "c"
assert set(loaded_newbis.evidence()) == set(["a", "b"])
assert not loaded_newbis.fitted()
assert type(loaded_newbis.type()) == NewType
nnbis = NewFactorBis("a", [])
assert loaded_newbis.type() == nnbis.type()
assert type(loaded_newbis.type().new_factor(dummy_network, "a",
[])) == NewFactorBis
assert loaded_lg.type() != loaded_ckde.type()
assert loaded_lg.type() != loaded_discrete.type()
assert loaded_lg.type() != loaded_new.type()
assert loaded_ckde.type() != loaded_discrete.type()
assert loaded_ckde.type() != loaded_new.type()
assert loaded_discrete.type() != loaded_new.type()
assert loaded_newbis.type() == loaded_new.type()