def test_update_mind_equally(self):
from social_meaning.agent import Agent
mind = nx.Graph()
mind.add_nodes_from(range(4))
society = nx.complete_graph(3)
a = Agent(mental_graph=mind,
social_network=society,
node_name=society.nodes()[0])
self.assertSequenceEqual(a.mind.edges(), [])
a.receipts = {1: [(0, 1)], 2: [(0, 1), (0, 2)]}
a.update_mind_equally()
self.assertSetEqual(set(a.mind.edges()), set([(0, 1), (0, 2)]))
def test_receive_all_equally(self):
from social_meaning.agent import Agent
society = nx.watts_strogatz_graph(10, 2, 0)
agent_set = {m: {'emissions': {n: [(m, n)] for n in society.nodes()}}
for m in society.nodes()}
nx.set_node_attributes(society, 'agent', agent_set)
a = Agent(mental_graph=nx.fast_gnp_random_graph(10, .1),
social_network=society,
node_name=society.nodes()[0])
a.receive_all_equally()
expected = {n: [(n, 0)] for n in society.neighbors(0)}
actual = a.receipts
self.assertDictEqual(actual, expected)
def test_emit_all_to_neighbors(self):
from social_meaning.agent import Agent
society = nx.watts_strogatz_graph(10, 2, 0)
a = Agent(mental_graph=nx.fast_gnp_random_graph(10, .1),
social_network=society,
node_name=society.nodes()[0])
a.emit_all_to_neighbors()
# check that emissions are going to all neighbors
self.assertSetEqual(set(a.emissions.keys()),
set(society.neighbors(0)))
# check that all neighbors get the same thing
self.assertTrue(all_same(a.emissions.values()))
# check that the emission is the full set of edges
self.assertSetEqual(set(a.emissions[society.neighbors(0)[0]]),
set(a.mind.edges()))
