def test_p_participant_decides_if_he_wants_to_exit(self):
participants = get_participants(self.network)
for i, participant in participants:
participant.sentiment = 0.1
self.params["probability_func"] = always
ans = ParticipantExits.p_participant_decides_if_he_wants_to_exit(
self.params, 0, 0, self.default_state)
self.assertEqual(len(ans["defectors"]), 2)
def test_p_participant_decides_if_he_wants_to_exit(self):
participants = get_participants(self.network)
for i, participant in participants:
participant.sentiment = 0.1
with patch("entities.probability") as p:
p.return_value = True
ans = ParticipantExits.p_participant_decides_if_he_wants_to_exit(
self.params, 0, 0, self.default_state)
self.assertEqual(len(ans["defectors"]), 4)
def test_su_burn_exiters_tokens(self):
policy_output = {
"defectors": {
1: {
"sentiment": 0.1,
"holdings": 10000,
},
2: {
"sentiment": 0.1,
"holdings": 10000,
}
}
}
old_collateral_pool = self.commons._collateral_pool
old_token_supply = self.commons._token_supply
_, n_commons = ParticipantExits.su_burn_exiters_tokens(
self.params, 0, 0, self.default_state, policy_output)
self.assertNotEqual(old_collateral_pool, n_commons._collateral_pool)
self.assertNotEqual(old_token_supply, n_commons._token_supply)
def test_su_remove_participants_from_network(self):
policy_output = {
"defectors": {
1: {
"sentiment": 0.1,
"holdings": 10000,
},
2: {
"sentiment": 0.1,
"holdings": 10000,
}
}
}
_, n_network = ParticipantExits.su_remove_participants_from_network(
self.params, 0, 0, self.default_state, policy_output)
with self.assertRaises(nx.NetworkXError):
n_network.remove_node(1)
n_network.remove_node(2)
def test_su_update_sentiment_when_proposal_becomes_active(self):
"""
Because this policy depends on a policy passthrough from a previous
partial state update block, it does not use _input, but
s["policy_output"]
"""
policy_output_passthru = {
"proposal_idxs_with_enough_conviction": [4, 5]
}
# Let's say Participant 2 owns Proposal 4, Participant 3 owns Proposal 5
self.network.nodes[2]["item"].sentiment = 0.4
self.network.nodes[3]["item"].sentiment = 0.6
self.network.edges[2, 4]["affinity"] = 1
self.network.edges[3, 5]["affinity"] = 1
self.default_state["policy_output"] = policy_output_passthru
_, n_network = ParticipantExits.su_update_sentiment_when_proposal_becomes_active(
self.params, 0, 0, self.default_state, {})
self.assertEqual(n_network.nodes[2]["item"].sentiment, 0.9)
self.assertEqual(n_network.nodes[3]["item"].sentiment, 1)
def test_su_update_sentiment_when_proposal_becomes_failed_or_completed(
self):
"""
Because this policy depends on a policy passthrough from a previous
partial state update block, it does not use _input, but
s["policy_output"]
"""
policy_output_passthru = {"failed": [4], "succeeded": [5]}
# Let's say Participant 2 owns Proposal 4, Participant 3 owns Proposal 5 and have staked on Proposal 4
participant_2_sentiment = 0.5
participant_3_sentiment = 0.7
self.network.nodes[2]["item"].sentiment = participant_2_sentiment
self.network.nodes[3]["item"].sentiment = participant_3_sentiment
self.network.edges[2, 4]["support"] = self.network.edges[
2, 4]["support"]._replace(affinity=1, is_author=1)
self.network.edges[3, 4]["support"] = self.network.edges[
3, 4]["support"]._replace(tokens=1)
self.network.edges[2, 5]["support"] = self.network.edges[
2, 5]["support"]._replace(tokens=0)
self.network.edges[3, 5]["support"] = self.network.edges[
3, 5]["support"]._replace(affinity=1, is_author=1)
self.default_state["policy_output"] = policy_output_passthru
_, n_network = ParticipantExits.su_update_sentiment_when_proposal_becomes_failed_or_completed(
self.params, 0, 0, self.default_state, {})
new_sentiment_2 = (participant_2_sentiment +
1 * config.sentiment_bonus_proposal_becomes_failed)
new_sentiment_3 = (
participant_3_sentiment +
(self.network.edges[3, 4]["support"].affinity *
config.sentiment_bonus_proposal_becomes_failed)) + (
1 * config.sentiment_bonus_proposal_becomes_completed)
self.assertEqual(n_network.nodes[2]["item"].sentiment, new_sentiment_2)
self.assertEqual(n_network.nodes[3]["item"].sentiment, new_sentiment_3)