def su_add_to_network(params, step, sL, s, _input, **kwargs): network = s["network"] if _input["new_participant"]: network, i = add_participant( network, Participant(TokenBatch(0, _input["new_participant_tokens"]))) if params.get("debug"): print( "GenerateNewParticipant: A new Participant {} invested {}DAI for {} tokens" .format(i, _input['new_participant_investment'], _input['new_participant_tokens'])) return "network", network
def test_add_participant(self): """ This test ensures that the Participant was added and that setup_influence_edges and setup_support_edges was executed for that particular node. """ n1, j = add_participant(self.network, Participant(TokenBatch(0, 0))) self.assertIsInstance(n1.nodes[j]["item"], Participant) self.assertEqual(len(n1.edges), 5) for u, v, t in n1.edges(data="type"): self.assertEqual(u, 10) self.assertIn(v, [1, 3, 5, 7, 9]) self.assertEqual(t, "support")
def su_add_to_network(params, step, sL, s, _input, **kwargs): network = s["network"] probability_func = params["probability_func"] exponential_func = params["exponential_func"] random_number_func = params["random_number_func"] for i in _input: ans = _input[i] if ans != 0: network, i = add_participant(network, Participant(TokenBatch( 0, ans["new_participant_tokens"]), probability_func, random_number_func), exponential_func, random_number_func) if params.get("debug"): print("GenerateNewParticipant: A new Participant {} invested {}DAI for {} tokens".format( i, ans['new_participant_investment'], ans['new_participant_tokens'])) return "network", network