New upstream version 1.39.0

3 files changed, 21 insertions, 19 deletions

diff --git a/synapse/state/__init__.py b/synapse/state/__init__.py
index a1770f62..6223daf5 100644
--- a/synapse/state/__init__.py
+++ b/synapse/state/__init__.py
@@ -309,9 +309,9 @@ class StateHandler:
 
         if old_state:
             # if we're given the state before the event, then we use that
-            state_ids_before_event = {
+            state_ids_before_event: StateMap[str] = {
                 (s.type, s.state_key): s.event_id for s in old_state
-            }  # type: StateMap[str]
+            }
             state_group_before_event = None
             state_group_before_event_prev_group = None
             deltas_to_state_group_before_event = None
@@ -513,23 +513,25 @@ class StateResolutionHandler:
         self.resolve_linearizer = Linearizer(name="state_resolve_lock")
 
         # dict of set of event_ids -> _StateCacheEntry.
-        self._state_cache = ExpiringCache(
+        self._state_cache: ExpiringCache[
+            FrozenSet[int], _StateCacheEntry
+        ] = ExpiringCache(
             cache_name="state_cache",
             clock=self.clock,
             max_len=100000,
             expiry_ms=EVICTION_TIMEOUT_SECONDS * 1000,
             iterable=True,
             reset_expiry_on_get=True,
-        )  # type: ExpiringCache[FrozenSet[int], _StateCacheEntry]
+        )
 
         #
         # stuff for tracking time spent on state-res by room
         #
 
         # tracks the amount of work done on state res per room
-        self._state_res_metrics = defaultdict(
+        self._state_res_metrics: DefaultDict[str, _StateResMetrics] = defaultdict(
             _StateResMetrics
-        )  # type: DefaultDict[str, _StateResMetrics]
+        )
 
         self.clock.looping_call(self._report_metrics, 120 * 1000)
 
@@ -700,9 +702,9 @@ class StateResolutionHandler:
         items = self._state_res_metrics.items()
 
         # log the N biggest rooms
-        biggest = heapq.nlargest(
+        biggest: List[Tuple[str, _StateResMetrics]] = heapq.nlargest(
             n_to_log, items, key=lambda i: extract_key(i[1])
-        )  # type: List[Tuple[str, _StateResMetrics]]
+        )
         metrics_logger.debug(
             "%i biggest rooms for state-res by %s: %s",
             len(biggest),
@@ -754,7 +756,7 @@ def _make_state_cache_entry(
 
     # failing that, look for the closest match.
     prev_group = None
-    delta_ids = None  # type: Optional[StateMap[str]]
+    delta_ids: Optional[StateMap[str]] = None
 
     for old_group, old_state in state_groups_ids.items():
         n_delta_ids = {k: v for k, v in new_state.items() if old_state.get(k) != v}
diff --git a/synapse/state/v1.py b/synapse/state/v1.py
index 318e9988..267193ce 100644
--- a/synapse/state/v1.py
+++ b/synapse/state/v1.py
@@ -159,7 +159,7 @@ def _seperate(
     """
     state_set_iterator = iter(state_sets)
     unconflicted_state = dict(next(state_set_iterator))
-    conflicted_state = {}  # type: MutableStateMap[Set[str]]
+    conflicted_state: MutableStateMap[Set[str]] = {}
 
     for state_set in state_set_iterator:
         for key, value in state_set.items():
diff --git a/synapse/state/v2.py b/synapse/state/v2.py
index 008644cd..e66e6571 100644
--- a/synapse/state/v2.py
+++ b/synapse/state/v2.py
@@ -276,7 +276,7 @@ async def _get_auth_chain_difference(
     # event IDs if they appear in the `event_map`. This is the intersection of
     # the event's auth chain with the events in the `event_map` *plus* their
     # auth event IDs.
-    events_to_auth_chain = {}  # type: Dict[str, Set[str]]
+    events_to_auth_chain: Dict[str, Set[str]] = {}
     for event in event_map.values():
         chain = {event.event_id}
         events_to_auth_chain[event.event_id] = chain
@@ -301,17 +301,17 @@ async def _get_auth_chain_difference(
         # ((type, state_key)->event_id) mappings; and (b) we have stripped out
         # unpersisted events and replaced them with the persisted events in
         # their auth chain.
-        state_sets_ids = []  # type: List[Set[str]]
+        state_sets_ids: List[Set[str]] = []
 
         # For each state set, the unpersisted event IDs reachable (by their auth
         # chain) from the events in that set.
-        unpersisted_set_ids = []  # type: List[Set[str]]
+        unpersisted_set_ids: List[Set[str]] = []
 
         for state_set in state_sets:
-            set_ids = set()  # type: Set[str]
+            set_ids: Set[str] = set()
             state_sets_ids.append(set_ids)
 
-            unpersisted_ids = set()  # type: Set[str]
+            unpersisted_ids: Set[str] = set()
             unpersisted_set_ids.append(unpersisted_ids)
 
             for event_id in state_set.values():
@@ -334,7 +334,7 @@ async def _get_auth_chain_difference(
         union = unpersisted_set_ids[0].union(*unpersisted_set_ids[1:])
         intersection = unpersisted_set_ids[0].intersection(*unpersisted_set_ids[1:])
 
-        difference_from_event_map = union - intersection  # type: Collection[str]
+        difference_from_event_map: Collection[str] = union - intersection
     else:
         difference_from_event_map = ()
         state_sets_ids = [set(state_set.values()) for state_set in state_sets]
@@ -458,7 +458,7 @@ async def _reverse_topological_power_sort(
         The sorted list
     """
 
-    graph = {}  # type: Dict[str, Set[str]]
+    graph: Dict[str, Set[str]] = {}
     for idx, event_id in enumerate(event_ids, start=1):
         await _add_event_and_auth_chain_to_graph(
             graph, room_id, event_id, event_map, state_res_store, auth_diff
@@ -657,7 +657,7 @@ async def _get_mainline_depth_for_event(
     """
 
     room_id = event.room_id
-    tmp_event = event  # type: Optional[EventBase]
+    tmp_event: Optional[EventBase] = event
 
     # We do an iterative search, replacing `event with the power level in its
     # auth events (if any)
@@ -767,7 +767,7 @@ def lexicographical_topological_sort(
     # outgoing edges, c.f.
     # https://en.wikipedia.org/wiki/Topological_sorting#Kahn's_algorithm
     outdegree_map = graph
-    reverse_graph = {}  # type: Dict[str, Set[str]]
+    reverse_graph: Dict[str, Set[str]] = {}
 
     # Lists of nodes with zero out degree. Is actually a tuple of
     # `(key(node), node)` so that sorting does the right thing