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synced 2024-11-21 17:15:38 +03:00
Yield during large v2 state res. (#7735)
State res v2 across large data sets can be very CPU intensive, and if all the relevant events are in the cache the algorithm will run from start to finish within a single reactor tick. This can result in blocking the reactor tick for several seconds, which can have major repercussions on other requests. To fix this we simply add the occaisonal `sleep(0)` during iterations to yield execution until the next reactor tick. The aim is to only do this for large data sets so that we don't impact otherwise quick resolutions.=
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5 changed files with 62 additions and 11 deletions
1
changelog.d/7735.bugfix
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1
changelog.d/7735.bugfix
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Fix large state resolutions from stalling Synapse for seconds at a time.
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@ -376,6 +376,7 @@ class FederationHandler(BaseHandler):
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room_version = await self.store.get_room_version_id(room_id)
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state_map = await resolve_events_with_store(
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self.clock,
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room_id,
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room_version,
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state_maps,
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@ -32,6 +32,7 @@ from synapse.logging.utils import log_function
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from synapse.state import v1, v2
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from synapse.storage.data_stores.main.events_worker import EventRedactBehaviour
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from synapse.types import StateMap
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from synapse.util import Clock
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from synapse.util.async_helpers import Linearizer
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from synapse.util.caches.expiringcache import ExpiringCache
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from synapse.util.metrics import Measure, measure_func
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@ -414,6 +415,7 @@ class StateHandler(object):
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with Measure(self.clock, "state._resolve_events"):
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new_state = yield resolve_events_with_store(
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self.clock,
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event.room_id,
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room_version,
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state_set_ids,
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@ -516,6 +518,7 @@ class StateResolutionHandler(object):
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logger.info("Resolving conflicted state for %r", room_id)
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with Measure(self.clock, "state._resolve_events"):
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new_state = yield resolve_events_with_store(
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self.clock,
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room_id,
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room_version,
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list(state_groups_ids.values()),
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@ -589,6 +592,7 @@ def _make_state_cache_entry(new_state, state_groups_ids):
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def resolve_events_with_store(
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clock: Clock,
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room_id: str,
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room_version: str,
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state_sets: List[StateMap[str]],
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@ -625,7 +629,7 @@ def resolve_events_with_store(
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)
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else:
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return v2.resolve_events_with_store(
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room_id, room_version, state_sets, event_map, state_res_store
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clock, room_id, room_version, state_sets, event_map, state_res_store
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)
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@ -27,12 +27,20 @@ from synapse.api.errors import AuthError
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from synapse.api.room_versions import KNOWN_ROOM_VERSIONS
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from synapse.events import EventBase
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from synapse.types import StateMap
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from synapse.util import Clock
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logger = logging.getLogger(__name__)
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# We want to yield to the reactor occasionally during state res when dealing
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# with large data sets, so that we don't exhaust the reactor. This is done by
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# yielding to reactor during loops every N iterations.
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_YIELD_AFTER_ITERATIONS = 100
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@defer.inlineCallbacks
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def resolve_events_with_store(
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clock: Clock,
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room_id: str,
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room_version: str,
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state_sets: List[StateMap[str]],
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@ -42,13 +50,11 @@ def resolve_events_with_store(
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"""Resolves the state using the v2 state resolution algorithm
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Args:
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clock
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room_id: the room we are working in
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room_version: The room version
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state_sets: List of dicts of (type, state_key) -> event_id,
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which are the different state groups to resolve.
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event_map:
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a dict from event_id to event, for any events that we happen to
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have in flight (eg, those currently being persisted). This will be
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@ -113,7 +119,7 @@ def resolve_events_with_store(
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)
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sorted_power_events = yield _reverse_topological_power_sort(
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room_id, power_events, event_map, state_res_store, full_conflicted_set
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clock, room_id, power_events, event_map, state_res_store, full_conflicted_set
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)
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logger.debug("sorted %d power events", len(sorted_power_events))
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@ -142,7 +148,7 @@ def resolve_events_with_store(
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pl = resolved_state.get((EventTypes.PowerLevels, ""), None)
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leftover_events = yield _mainline_sort(
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room_id, leftover_events, pl, event_map, state_res_store
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clock, room_id, leftover_events, pl, event_map, state_res_store
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)
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logger.debug("resolving remaining events")
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@ -317,12 +323,13 @@ def _add_event_and_auth_chain_to_graph(
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@defer.inlineCallbacks
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def _reverse_topological_power_sort(
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room_id, event_ids, event_map, state_res_store, auth_diff
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clock, room_id, event_ids, event_map, state_res_store, auth_diff
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):
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"""Returns a list of the event_ids sorted by reverse topological ordering,
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and then by power level and origin_server_ts
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Args:
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clock (Clock)
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room_id (str): the room we are working in
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event_ids (list[str]): The events to sort
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event_map (dict[str,FrozenEvent])
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@ -334,18 +341,28 @@ def _reverse_topological_power_sort(
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"""
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graph = {}
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for event_id in event_ids:
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for idx, event_id in enumerate(event_ids, start=1):
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yield _add_event_and_auth_chain_to_graph(
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graph, room_id, event_id, event_map, state_res_store, auth_diff
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)
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# We yield occasionally when we're working with large data sets to
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# ensure that we don't block the reactor loop for too long.
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if idx % _YIELD_AFTER_ITERATIONS == 0:
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yield clock.sleep(0)
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event_to_pl = {}
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for event_id in graph:
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for idx, event_id in enumerate(graph, start=1):
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pl = yield _get_power_level_for_sender(
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room_id, event_id, event_map, state_res_store
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)
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event_to_pl[event_id] = pl
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# We yield occasionally when we're working with large data sets to
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# ensure that we don't block the reactor loop for too long.
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if idx % _YIELD_AFTER_ITERATIONS == 0:
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yield clock.sleep(0)
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def _get_power_order(event_id):
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ev = event_map[event_id]
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pl = event_to_pl[event_id]
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@ -423,12 +440,13 @@ def _iterative_auth_checks(
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@defer.inlineCallbacks
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def _mainline_sort(
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room_id, event_ids, resolved_power_event_id, event_map, state_res_store
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clock, room_id, event_ids, resolved_power_event_id, event_map, state_res_store
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):
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"""Returns a sorted list of event_ids sorted by mainline ordering based on
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the given event resolved_power_event_id
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Args:
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clock (Clock)
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room_id (str): room we're working in
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event_ids (list[str]): Events to sort
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resolved_power_event_id (str): The final resolved power level event ID
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@ -438,8 +456,14 @@ def _mainline_sort(
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Returns:
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Deferred[list[str]]: The sorted list
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"""
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if not event_ids:
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# It's possible for there to be no event IDs here to sort, so we can
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# skip calculating the mainline in that case.
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return []
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mainline = []
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pl = resolved_power_event_id
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idx = 0
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while pl:
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mainline.append(pl)
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pl_ev = yield _get_event(room_id, pl, event_map, state_res_store)
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@ -453,17 +477,29 @@ def _mainline_sort(
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pl = aid
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break
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# We yield occasionally when we're working with large data sets to
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# ensure that we don't block the reactor loop for too long.
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if idx != 0 and idx % _YIELD_AFTER_ITERATIONS == 0:
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yield clock.sleep(0)
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idx += 1
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mainline_map = {ev_id: i + 1 for i, ev_id in enumerate(reversed(mainline))}
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event_ids = list(event_ids)
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order_map = {}
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for ev_id in event_ids:
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for idx, ev_id in enumerate(event_ids, start=1):
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depth = yield _get_mainline_depth_for_event(
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event_map[ev_id], mainline_map, event_map, state_res_store
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)
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order_map[ev_id] = (depth, event_map[ev_id].origin_server_ts, ev_id)
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# We yield occasionally when we're working with large data sets to
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# ensure that we don't block the reactor loop for too long.
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if idx % _YIELD_AFTER_ITERATIONS == 0:
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yield clock.sleep(0)
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event_ids.sort(key=lambda ev_id: order_map[ev_id])
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return event_ids
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@ -17,6 +17,8 @@ import itertools
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import attr
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from twisted.internet import defer
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from synapse.api.constants import EventTypes, JoinRules, Membership
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from synapse.api.room_versions import RoomVersions
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from synapse.event_auth import auth_types_for_event
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ORIGIN_SERVER_TS = 0
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class FakeClock:
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def sleep(self, msec):
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return defer.succeed(None)
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class FakeEvent(object):
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"""A fake event we use as a convenience.
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@ -417,6 +424,7 @@ class StateTestCase(unittest.TestCase):
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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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FakeClock(),
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ROOM_ID,
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RoomVersions.V2.identifier,
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[state_at_event[n] for n in prev_events],
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@ -565,6 +573,7 @@ class SimpleParamStateTestCase(unittest.TestCase):
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# Test that we correctly handle passing `None` as the event_map
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state_d = resolve_events_with_store(
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FakeClock(),
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ROOM_ID,
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RoomVersions.V2.identifier,
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[self.state_at_bob, self.state_at_charlie],
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