def test_serialization():
df = DialogueFlow(States.A, initial_speaker=Speaker.SYSTEM)
df.add_state(States.B, error_successor=States.E)
df.add_state(States.C, error_successor=States.E)
df.add_system_transition(States.A, States.B, "#GATE $spoken=B")
df.add_system_transition(States.A, States.C, "#GATE(spoken) $spoken=C")
df.add_system_transition(States.E, States.E, "$spoken=E")
df.add_user_transition(States.B, States.A, "$heard=b")
df.add_user_transition(States.E, States.A, "$heard=e")
df.system_turn()
assert df.state() == States.B
assert df.vars()["spoken"] == "B"
df.user_turn("b")
df.system_turn()
assert df.state() == States.C
assert df.vars()["spoken"] == "C"
expected_gates = {"States.B": [{}], "States.C": [{"spoken": "B"}]}
assert df.gates() == expected_gates
df.vars()["testing_none"] = None
d = df.serialize()
df2 = DialogueFlow(States.A, initial_speaker=Speaker.SYSTEM)
df2.add_state(States.B, error_successor=States.E)
df2.add_state(States.C, error_successor=States.E)
df2.add_system_transition(States.A, States.B, "#GATE $spoken=B")
df2.add_system_transition(States.A, States.C, "#GATE(spoken) $spoken=C")
df2.add_system_transition(States.E, States.E, "$spoken=E")
df2.add_user_transition(States.B, States.A, "$heard=b")
df2.add_user_transition(States.E, States.A, "$heard=e")
assert df2.state() == States.A
assert "spoken" not in df2.vars() and "heard" not in df2.vars()
assert len(df2.gates()) == 0
df2.deserialize(d)
assert df.vars() == df2.vars()
assert df.gates() == df2.gates()
assert df.state() == df2.state()
assert df2.vars()["testing_none"] is None
def test_serialization():
df = DialogueFlow(States.A, initial_speaker=Speaker.SYSTEM)
df.add_state(States.B, error_successor=States.E)
df.add_state(States.C, error_successor=States.E)
df.add_system_transition(States.A, States.B, '#GATE $spoken=B')
df.add_system_transition(States.A, States.C, '#GATE(spoken) $spoken=C')
df.add_system_transition(States.E, States.E, '$spoken=E')
df.add_user_transition(States.B, States.A, '$heard=b')
df.add_user_transition(States.E, States.A, '$heard=e')
df.system_turn()
assert df.state() == States.B
assert df.vars()["spoken"] == "B"
df.user_turn('b')
df.system_turn()
assert df.state() == States.C
assert df.vars()["spoken"] == "C"
expected_gates = {'States.B': [{}], 'States.C': [{'spoken': 'B'}]}
assert df.gates() == expected_gates
df.vars()["testing_none"] = None
d = df.serialize()
df2 = DialogueFlow(States.A, initial_speaker=Speaker.SYSTEM)
df2.add_state(States.B, error_successor=States.E)
df2.add_state(States.C, error_successor=States.E)
df2.add_system_transition(States.A, States.B, '#GATE $spoken=B')
df2.add_system_transition(States.A, States.C, '#GATE(spoken) $spoken=C')
df2.add_system_transition(States.E, States.E, '$spoken=E')
df2.add_user_transition(States.B, States.A, '$heard=b')
df2.add_user_transition(States.E, States.A, '$heard=e')
assert df2.state() == States.A
assert 'spoken' not in df2.vars() and 'heard' not in df2.vars()
assert len(df2.gates()) == 0
df2.deserialize(d)
assert df.vars() == df2.vars()
assert df.gates() == df2.gates()
assert df.state() == df2.state()
assert df2.vars()["testing_none"] is None
