def test_get_eval_result(self):
""" creates and evaluates a feed forward combiner """
edge_1 = Edge('b', 'a', phase=SymNum('phi1',default=0.5,product=False), attenuation=0.5, delay=2)
edge_2 = Edge('c', 'a', phase=SymNum('phi2',default=0.0,product=False), attenuation=SymNum('amp2',default=1.5,product=True), delay=-1)
split_net = Network()
split_net.add_node('a')
split_net.add_node('b')
split_net.add_node('c')
split_net.add_edge(edge_1)
split_net.add_edge(edge_2)
split_net.add_input('b', amplitude=1)
split_net.add_input('c', amplitude=1)
split_net.evaluate()
self.assertEqual(split_net.get_eval_result('a'), [(0.5, 0.5, 2.0), (1.5, 0.0, -1.0)])
self.assertEqual(split_net.get_eval_result('a',feed_dict=None, use_shared_default=True), [(0.5, 0.5, 2.0), (1.5, 0.0, -1.0)])
self.assertEqual(split_net.get_eval_result('a',feed_dict={'phi1':0.6,'phi2':3,'amp2':6}, use_shared_default=True), [(0.5, 0.6, 2.0), (6.0, 3.0, -1.0)])
# print('paths leading to c:', net.get_paths('c'))
# print('paths leading to d:', net.get_paths('d'))
print('waves arriving at c:', net.get_result('c'))
print('waves arriving at d:', net.get_result('d'))
net.get_html_result(['c', 'd'],
path='./visualizations/symbolicfeedforward.html')
# Evaluation without feed dictionary, using the default value of each SymNum
waves = [
tuple([
w.eval(feed_dict=None, use_shared_default=False)
if hasattr(w, 'eval') else w for w in inner
]) for inner in net.get_result('c')
]
print('Waves arriving at c:', waves, '\n')
print(net.get_eval_result(name='c', feed_dict=None, use_shared_default=False))
# Evaluation without feed dictionary, with global defaults
waves = [
tuple([
w.eval(feed_dict=None, use_shared_default=True)
if hasattr(w, 'eval') else w for w in inner
]) for inner in net.get_result('c')
]
print('Waves arriving at c:', waves, '\n')
print(net.get_eval_result(name='c', feed_dict=None, use_shared_default=True))
# Evaluation with a feed dictionary
feed = {'a1': 1, 'a2': 2, 'phi1': 2, 'phi2': 4}
waves = [
tuple([
