def test_dataflow_state_is_valid():
df = DataFlow()
vid1 = df.add_vertex()
pid10 = df.add_in_port(vid1, "in")
pid11 = df.add_out_port(vid1, "out")
vid2 = df.add_vertex()
pid21 = df.add_out_port(vid2, "out")
vid3 = df.add_vertex()
pid31 = df.add_in_port(vid3, "in1")
pid32 = df.add_in_port(vid3, "in2")
pid33 = df.add_out_port(vid3, "res")
vid4 = df.add_vertex()
pid41 = df.add_in_port(vid4, "in")
df.connect(pid11, pid31)
df.connect(pid21, pid32)
df.connect(pid33, pid41)
dfs = DataflowState(df)
assert not dfs.is_valid()
dfs.set_data(pid10, 0)
assert not dfs.is_valid()
dfs.clear()
for i, pid in enumerate([pid11, pid21, pid33]):
dfs.set_data(pid, i)
assert not dfs.is_valid()
dfs.set_data(pid10, 'a')
assert dfs.is_valid()
def test_dataflow_state_is_valid():
df = DataFlow()
vid1 = df.add_vertex()
pid10 = df.add_in_port(vid1, "in")
pid11 = df.add_out_port(vid1, "out")
vid2 = df.add_vertex()
pid21 = df.add_out_port(vid2, "out")
vid3 = df.add_vertex()
pid31 = df.add_in_port(vid3, "in1")
pid32 = df.add_in_port(vid3, "in2")
pid33 = df.add_out_port(vid3, "res")
vid4 = df.add_vertex()
pid41 = df.add_in_port(vid4, "in")
df.connect(pid11, pid31)
df.connect(pid21, pid32)
df.connect(pid33, pid41)
dfs = DataflowState(df)
assert not dfs.is_valid()
dfs.set_data(pid10, 0)
assert not dfs.is_valid()
dfs.clear()
for i, pid in enumerate([pid11, pid21, pid33]):
dfs.set_data(pid, i)
assert not dfs.is_valid()
dfs.set_data(pid10, 'a')
assert dfs.is_valid()
def test_dataflow_evaluation_eval_no_vid():
df, (pid_in, pid_out) = get_dataflow()
algo = BruteEvaluation(df)
env = 0
dfs = DataflowState(df)
dfs.set_data(pid_in, 1)
assert not dfs.is_valid()
algo.eval(env, dfs)
assert dfs.is_valid()
def test_dataflow_evaluation_eval_no_vid():
df, (pid_in, pid_out) = get_dataflow()
algo = BruteEvaluation(df)
env = 0
dfs = DataflowState(df)
dfs.set_data(pid_in, 1)
assert not dfs.is_valid()
algo.eval(env, dfs)
assert dfs.is_valid()
def test_dataflow_evaluation_eval_no_vid2():
df = DataFlow()
vid0 = df.add_vertex()
pid0 = df.add_in_port(vid0, "in")
df.add_out_port(vid0, "out")
vid1 = df.add_vertex()
pid1 = df.add_in_port(vid1, "in")
df.add_out_port(vid1, "out")
df.set_actor(vid0, FuncNode({}, {}, int))
df.set_actor(vid1, FuncNode({}, {}, int))
dfs = DataflowState(df)
env = 0
algo = BruteEvaluation(df)
dfs.set_data(pid0, 0)
dfs.set_data(pid1, 1)
assert not dfs.is_valid()
algo.eval(env, dfs)
assert dfs.is_valid()
def test_dataflow_evaluation_eval_no_vid2():
df = DataFlow()
vid0 = df.add_vertex()
pid0 = df.add_in_port(vid0, "in")
df.add_out_port(vid0, "out")
vid1 = df.add_vertex()
pid1 = df.add_in_port(vid1, "in")
df.add_out_port(vid1, "out")
df.set_actor(vid0, FuncNode({}, {}, int))
df.set_actor(vid1, FuncNode({}, {}, int))
dfs = DataflowState(df)
env = 0
algo = BruteEvaluation(df)
dfs.set_data(pid0, 0)
dfs.set_data(pid1, 1)
assert not dfs.is_valid()
algo.eval(env, dfs)
assert dfs.is_valid()
