664 lines
18 KiB
Python
664 lines
18 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2018 New Vector Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import itertools
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from six.moves import zip
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import attr
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from synapse.api.constants import EventTypes, JoinRules, Membership
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from synapse.event_auth import auth_types_for_event
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from synapse.events import FrozenEvent
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from synapse.state.v2 import lexicographical_topological_sort, resolve_events_with_store
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from synapse.types import EventID
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from tests import unittest
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ALICE = "@alice:example.com"
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BOB = "@bob:example.com"
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CHARLIE = "@charlie:example.com"
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EVELYN = "@evelyn:example.com"
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ZARA = "@zara:example.com"
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ROOM_ID = "!test:example.com"
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MEMBERSHIP_CONTENT_JOIN = {"membership": Membership.JOIN}
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MEMBERSHIP_CONTENT_BAN = {"membership": Membership.BAN}
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ORIGIN_SERVER_TS = 0
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class FakeEvent(object):
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"""A fake event we use as a convenience.
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NOTE: Again as a convenience we use "node_ids" rather than event_ids to
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refer to events. The event_id has node_id as localpart and example.com
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as domain.
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"""
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def __init__(self, id, sender, type, state_key, content):
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self.node_id = id
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self.event_id = EventID(id, "example.com").to_string()
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self.sender = sender
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self.type = type
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self.state_key = state_key
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self.content = content
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def to_event(self, auth_events, prev_events):
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"""Given the auth_events and prev_events, convert to a Frozen Event
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Args:
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auth_events (list[str]): list of event_ids
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prev_events (list[str]): list of event_ids
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Returns:
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FrozenEvent
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"""
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global ORIGIN_SERVER_TS
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ts = ORIGIN_SERVER_TS
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ORIGIN_SERVER_TS = ORIGIN_SERVER_TS + 1
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event_dict = {
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"auth_events": [(a, {}) for a in auth_events],
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"prev_events": [(p, {}) for p in prev_events],
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"event_id": self.node_id,
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"sender": self.sender,
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"type": self.type,
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"content": self.content,
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"origin_server_ts": ts,
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"room_id": ROOM_ID,
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}
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if self.state_key is not None:
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event_dict["state_key"] = self.state_key
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return FrozenEvent(event_dict)
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# All graphs start with this set of events
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INITIAL_EVENTS = [
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FakeEvent(
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id="CREATE",
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sender=ALICE,
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type=EventTypes.Create,
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state_key="",
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content={"creator": ALICE},
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),
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FakeEvent(
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id="IMA",
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sender=ALICE,
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type=EventTypes.Member,
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state_key=ALICE,
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content=MEMBERSHIP_CONTENT_JOIN,
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),
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FakeEvent(
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id="IPOWER",
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sender=ALICE,
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type=EventTypes.PowerLevels,
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state_key="",
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content={"users": {ALICE: 100}},
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),
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FakeEvent(
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id="IJR",
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sender=ALICE,
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type=EventTypes.JoinRules,
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state_key="",
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content={"join_rule": JoinRules.PUBLIC},
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),
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FakeEvent(
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id="IMB",
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sender=BOB,
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type=EventTypes.Member,
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state_key=BOB,
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content=MEMBERSHIP_CONTENT_JOIN,
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),
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FakeEvent(
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id="IMC",
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sender=CHARLIE,
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type=EventTypes.Member,
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state_key=CHARLIE,
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content=MEMBERSHIP_CONTENT_JOIN,
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),
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FakeEvent(
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id="IMZ",
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sender=ZARA,
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type=EventTypes.Member,
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state_key=ZARA,
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content=MEMBERSHIP_CONTENT_JOIN,
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),
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FakeEvent(
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id="START",
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sender=ZARA,
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type=EventTypes.Message,
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state_key=None,
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content={},
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),
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FakeEvent(
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id="END",
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sender=ZARA,
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type=EventTypes.Message,
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state_key=None,
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content={},
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),
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]
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INITIAL_EDGES = [
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"START", "IMZ", "IMC", "IMB", "IJR", "IPOWER", "IMA", "CREATE",
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]
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class StateTestCase(unittest.TestCase):
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def test_ban_vs_pl(self):
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events = [
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FakeEvent(
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id="PA",
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sender=ALICE,
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type=EventTypes.PowerLevels,
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state_key="",
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content={
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"users": {
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ALICE: 100,
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BOB: 50,
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}
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},
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),
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FakeEvent(
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id="MA",
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sender=ALICE,
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type=EventTypes.Member,
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state_key=ALICE,
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content={"membership": Membership.JOIN},
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),
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FakeEvent(
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id="MB",
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sender=ALICE,
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type=EventTypes.Member,
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state_key=BOB,
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content={"membership": Membership.BAN},
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),
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FakeEvent(
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id="PB",
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sender=BOB,
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type=EventTypes.PowerLevels,
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state_key='',
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content={
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"users": {
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ALICE: 100,
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BOB: 50,
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},
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},
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),
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]
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edges = [
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["END", "MB", "MA", "PA", "START"],
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["END", "PB", "PA"],
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]
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expected_state_ids = ["PA", "MA", "MB"]
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self.do_check(events, edges, expected_state_ids)
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def test_join_rule_evasion(self):
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events = [
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FakeEvent(
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id="JR",
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sender=ALICE,
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type=EventTypes.JoinRules,
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state_key="",
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content={"join_rules": JoinRules.PRIVATE},
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),
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FakeEvent(
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id="ME",
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sender=EVELYN,
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type=EventTypes.Member,
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state_key=EVELYN,
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content={"membership": Membership.JOIN},
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),
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]
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edges = [
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["END", "JR", "START"],
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["END", "ME", "START"],
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]
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expected_state_ids = ["JR"]
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self.do_check(events, edges, expected_state_ids)
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def test_offtopic_pl(self):
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events = [
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FakeEvent(
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id="PA",
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sender=ALICE,
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type=EventTypes.PowerLevels,
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state_key="",
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content={
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"users": {
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ALICE: 100,
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BOB: 50,
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}
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},
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),
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FakeEvent(
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id="PB",
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sender=BOB,
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type=EventTypes.PowerLevels,
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state_key='',
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content={
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"users": {
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ALICE: 100,
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BOB: 50,
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CHARLIE: 50,
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},
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},
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),
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FakeEvent(
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id="PC",
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sender=CHARLIE,
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type=EventTypes.PowerLevels,
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state_key='',
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content={
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"users": {
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ALICE: 100,
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BOB: 50,
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CHARLIE: 0,
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},
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},
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),
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]
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edges = [
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["END", "PC", "PB", "PA", "START"],
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["END", "PA"],
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]
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expected_state_ids = ["PC"]
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self.do_check(events, edges, expected_state_ids)
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def test_topic_basic(self):
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events = [
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FakeEvent(
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id="T1",
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sender=ALICE,
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type=EventTypes.Topic,
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state_key="",
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content={},
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),
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FakeEvent(
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id="PA1",
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sender=ALICE,
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type=EventTypes.PowerLevels,
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state_key='',
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content={
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"users": {
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ALICE: 100,
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BOB: 50,
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},
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},
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),
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FakeEvent(
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id="T2",
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sender=ALICE,
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type=EventTypes.Topic,
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state_key="",
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content={},
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),
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FakeEvent(
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id="PA2",
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sender=ALICE,
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type=EventTypes.PowerLevels,
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state_key='',
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content={
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"users": {
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ALICE: 100,
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BOB: 0,
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},
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},
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),
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FakeEvent(
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id="PB",
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sender=BOB,
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type=EventTypes.PowerLevels,
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state_key='',
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content={
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"users": {
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ALICE: 100,
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BOB: 50,
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},
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},
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),
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FakeEvent(
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id="T3",
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sender=BOB,
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type=EventTypes.Topic,
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state_key="",
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content={},
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),
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]
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edges = [
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["END", "PA2", "T2", "PA1", "T1", "START"],
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["END", "T3", "PB", "PA1"],
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]
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expected_state_ids = ["PA2", "T2"]
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self.do_check(events, edges, expected_state_ids)
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def test_topic_reset(self):
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events = [
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FakeEvent(
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id="T1",
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sender=ALICE,
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type=EventTypes.Topic,
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state_key="",
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content={},
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),
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FakeEvent(
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id="PA",
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sender=ALICE,
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type=EventTypes.PowerLevels,
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state_key='',
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content={
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"users": {
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ALICE: 100,
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BOB: 50,
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},
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},
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),
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FakeEvent(
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id="T2",
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sender=BOB,
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type=EventTypes.Topic,
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state_key="",
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content={},
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),
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FakeEvent(
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id="MB",
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sender=ALICE,
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type=EventTypes.Member,
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state_key=BOB,
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content={"membership": Membership.BAN},
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),
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]
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edges = [
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["END", "MB", "T2", "PA", "T1", "START"],
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["END", "T1"],
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]
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expected_state_ids = ["T1", "MB", "PA"]
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self.do_check(events, edges, expected_state_ids)
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def test_topic(self):
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events = [
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FakeEvent(
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id="T1",
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sender=ALICE,
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type=EventTypes.Topic,
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state_key="",
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content={},
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),
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FakeEvent(
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id="PA1",
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sender=ALICE,
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type=EventTypes.PowerLevels,
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state_key='',
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content={
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"users": {
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ALICE: 100,
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BOB: 50,
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},
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},
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),
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FakeEvent(
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id="T2",
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sender=ALICE,
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type=EventTypes.Topic,
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state_key="",
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content={},
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),
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FakeEvent(
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id="PA2",
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sender=ALICE,
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type=EventTypes.PowerLevels,
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state_key='',
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content={
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"users": {
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ALICE: 100,
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BOB: 0,
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},
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},
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),
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FakeEvent(
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id="PB",
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sender=BOB,
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type=EventTypes.PowerLevels,
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state_key='',
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content={
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"users": {
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ALICE: 100,
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BOB: 50,
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},
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},
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),
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FakeEvent(
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id="T3",
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sender=BOB,
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type=EventTypes.Topic,
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state_key="",
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content={},
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),
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FakeEvent(
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id="MZ1",
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sender=ZARA,
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type=EventTypes.Message,
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state_key=None,
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content={},
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),
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FakeEvent(
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id="T4",
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sender=ALICE,
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type=EventTypes.Topic,
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state_key="",
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content={},
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),
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]
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edges = [
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["END", "T4", "MZ1", "PA2", "T2", "PA1", "T1", "START"],
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["END", "MZ1", "T3", "PB", "PA1"],
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]
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expected_state_ids = ["T4", "PA2"]
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self.do_check(events, edges, expected_state_ids)
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def do_check(self, events, edges, expected_state_ids):
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"""Take a list of events and edges and calculate the state of the
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graph at END, and asserts it matches `expected_state_ids`
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Args:
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events (list[FakeEvent])
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edges (list[list[str]]): A list of chains of event edges, e.g.
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`[[A, B, C]]` are edges A->B and B->C.
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expected_state_ids (list[str]): The expected state at END, (excluding
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the keys that haven't changed since START).
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"""
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# We want to sort the events into topological order for processing.
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graph = {}
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# node_id -> FakeEvent
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fake_event_map = {}
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for ev in itertools.chain(INITIAL_EVENTS, events):
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graph[ev.node_id] = set()
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fake_event_map[ev.node_id] = ev
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for a, b in pairwise(INITIAL_EDGES):
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graph[a].add(b)
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for edge_list in edges:
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for a, b in pairwise(edge_list):
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graph[a].add(b)
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# event_id -> FrozenEvent
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event_map = {}
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# node_id -> state
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state_at_event = {}
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# We copy the map as the sort consumes the graph
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graph_copy = {k: set(v) for k, v in graph.items()}
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for node_id in lexicographical_topological_sort(graph_copy, key=lambda e: e):
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fake_event = fake_event_map[node_id]
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event_id = fake_event.event_id
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prev_events = list(graph[node_id])
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if len(prev_events) == 0:
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state_before = {}
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elif len(prev_events) == 1:
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state_before = dict(state_at_event[prev_events[0]])
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else:
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state_d = resolve_events_with_store(
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[state_at_event[n] for n in prev_events],
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event_map=event_map,
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state_res_store=TestStateResolutionStore(event_map),
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)
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self.assertTrue(state_d.called)
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state_before = state_d.result
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state_after = dict(state_before)
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if fake_event.state_key is not None:
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state_after[(fake_event.type, fake_event.state_key)] = event_id
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auth_types = set(auth_types_for_event(fake_event))
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auth_events = []
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for key in auth_types:
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if key in state_before:
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auth_events.append(state_before[key])
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event = fake_event.to_event(auth_events, prev_events)
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state_at_event[node_id] = state_after
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event_map[event_id] = event
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expected_state = {}
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for node_id in expected_state_ids:
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# expected_state_ids are node IDs rather than event IDs,
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# so we have to convert
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event_id = EventID(node_id, "example.com").to_string()
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event = event_map[event_id]
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key = (event.type, event.state_key)
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expected_state[key] = event_id
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start_state = state_at_event["START"]
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end_state = {
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key: value
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for key, value in state_at_event["END"].items()
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if key in expected_state or start_state.get(key) != value
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}
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self.assertEqual(expected_state, end_state)
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|
|
|
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class LexicographicalTestCase(unittest.TestCase):
|
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def test_simple(self):
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graph = {
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"l": {"o"},
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"m": {"n", "o"},
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"n": {"o"},
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"o": set(),
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"p": {"o"},
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}
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res = list(lexicographical_topological_sort(graph, key=lambda x: x))
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self.assertEqual(["o", "l", "n", "m", "p"], res)
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|
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|
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def pairwise(iterable):
|
|
"s -> (s0,s1), (s1,s2), (s2, s3), ..."
|
|
a, b = itertools.tee(iterable)
|
|
next(b, None)
|
|
return zip(a, b)
|
|
|
|
|
|
@attr.s
|
|
class TestStateResolutionStore(object):
|
|
event_map = attr.ib()
|
|
|
|
def get_events(self, event_ids, allow_rejected=False):
|
|
"""Get events from the database
|
|
|
|
Args:
|
|
event_ids (list): The event_ids of the events to fetch
|
|
allow_rejected (bool): If True return rejected events.
|
|
|
|
Returns:
|
|
Deferred[dict[str, FrozenEvent]]: Dict from event_id to event.
|
|
"""
|
|
|
|
return {
|
|
eid: self.event_map[eid]
|
|
for eid in event_ids
|
|
if eid in self.event_map
|
|
}
|
|
|
|
def get_auth_chain(self, event_ids):
|
|
"""Gets the full auth chain for a set of events (including rejected
|
|
events).
|
|
|
|
Includes the given event IDs in the result.
|
|
|
|
Note that:
|
|
1. All events must be state events.
|
|
2. For v1 rooms this may not have the full auth chain in the
|
|
presence of rejected events
|
|
|
|
Args:
|
|
event_ids (list): The event IDs of the events to fetch the auth
|
|
chain for. Must be state events.
|
|
|
|
Returns:
|
|
Deferred[list[str]]: List of event IDs of the auth chain.
|
|
"""
|
|
|
|
# Simple DFS for auth chain
|
|
result = set()
|
|
stack = list(event_ids)
|
|
while stack:
|
|
event_id = stack.pop()
|
|
if event_id in result:
|
|
continue
|
|
|
|
result.add(event_id)
|
|
|
|
event = self.event_map[event_id]
|
|
for aid, _ in event.auth_events:
|
|
stack.append(aid)
|
|
|
|
return list(result)
|