def test_from_dict():
"""
Tests creating BBN from dictionary (deserialized from JSON).
:return: None.
"""
e_bbn = BbnUtil.get_huang_graph()
o_bbn = Bbn.from_dict(Bbn.to_dict(e_bbn))
assert len(e_bbn.get_nodes()) == len(o_bbn.get_nodes())
assert len(e_bbn.get_edges()) == len(o_bbn.get_edges())
def test_generated_serde():
"""
Tests serde of generated BBN.
:return: Nonde.
"""
g, p = generate_singly_bbn(100, max_iter=10)
e_bbn = convert_for_exact_inference(g, p)
d = Bbn.to_dict(e_bbn)
s = json.dumps(d, sort_keys=True, indent=2)
d = json.loads(s)
o_bbn = Bbn.from_dict(d)
assert len(e_bbn.get_nodes()) == len(o_bbn.get_nodes())
assert len(e_bbn.get_edges()) == len(o_bbn.get_edges())
def get_bbn(fpath):
with open(fpath, 'r') as f:
start = time.time()
bbn = Bbn.from_dict(json.loads(f.read())) if fpath.endswith('.json') else Bbn.from_csv(fpath)
stop = time.time()
diff = stop - start
print(f'{diff:.5f} : load time')
start = time.time()
jt = InferenceController.apply(bbn)
stop = time.time()
diff = stop - start
print(f'{diff:.5f} : inference time')
return bbn, jt
import functools
import json
import timeit
from pybbn.graph.dag import Bbn
from pybbn.pptc.inferencecontroller import InferenceController
def do_it(bbn):
InferenceController.apply(bbn)
with open('singly-bbn.json', 'r') as f:
bbn = Bbn.from_dict(json.loads(f.read()))
print('finished loading')
n = 20
t = timeit.Timer(functools.partial(do_it, bbn))
d = t.timeit(n) / float(n)
print(d)