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authorErik Johnston <erik@matrix.org>2021-07-29 11:08:49 +0100
committerErik Johnston <erik@matrix.org>2021-07-29 11:08:49 +0100
commitc36c2777900284cf94e93e60e34c3b856bb31551 (patch)
tree5079c397821dab6f70dd0200a4c435c1b1d91db7 /tests/util/test_itertools.py
parentMerge tag 'v1.38.1' (diff)
parentFixup changelog (diff)
downloadsynapse-c36c2777900284cf94e93e60e34c3b856bb31551.tar.xz
Merge tag 'v1.39.0rc3'
Synapse 1.39.0rc3 (2021-07-28)
==============================

Bugfixes
--------

- Fix a bug introduced in Synapse 1.38 which caused an exception at startup when SAML authentication was enabled. ([\#10477](https://github.com/matrix-org/synapse/issues/10477))
- Fix a long-standing bug where Synapse would not inform clients that a device had exhausted its one-time-key pool, potentially causing problems decrypting events. ([\#10485](https://github.com/matrix-org/synapse/issues/10485))
- Fix reporting old R30 stats as R30v2 stats. Introduced in v1.39.0rc1. ([\#10486](https://github.com/matrix-org/synapse/issues/10486))

Internal Changes
----------------

- Fix an error which prevented the Github Actions workflow to build the docker images from running. ([\#10461](https://github.com/matrix-org/synapse/issues/10461))
- Fix release script to correctly version debian changelog when doing RCs. ([\#10465](https://github.com/matrix-org/synapse/issues/10465))
Diffstat (limited to 'tests/util/test_itertools.py')
-rw-r--r--tests/util/test_itertools.py18
1 files changed, 9 insertions, 9 deletions
diff --git a/tests/util/test_itertools.py b/tests/util/test_itertools.py

index e712eb42ea..3c0ddd4f18 100644 --- a/tests/util/test_itertools.py +++ b/tests/util/test_itertools.py
@@ -44,7 +44,7 @@ class ChunkSeqTests(TestCase): ) def test_empty_input(self): - parts = chunk_seq([], 5) # type: Iterable[Sequence] + parts: Iterable[Sequence] = chunk_seq([], 5) self.assertEqual( list(parts), @@ -56,13 +56,13 @@ class SortTopologically(TestCase): def test_empty(self): "Test that an empty graph works correctly" - graph = {} # type: Dict[int, List[int]] + graph: Dict[int, List[int]] = {} self.assertEqual(list(sorted_topologically([], graph)), []) def test_handle_empty_graph(self): "Test that a graph where a node doesn't have an entry is treated as empty" - graph = {} # type: Dict[int, List[int]] + graph: Dict[int, List[int]] = {} # For disconnected nodes the output is simply sorted. self.assertEqual(list(sorted_topologically([1, 2], graph)), [1, 2]) @@ -70,7 +70,7 @@ class SortTopologically(TestCase): def test_disconnected(self): "Test that a graph with no edges work" - graph = {1: [], 2: []} # type: Dict[int, List[int]] + graph: Dict[int, List[int]] = {1: [], 2: []} # For disconnected nodes the output is simply sorted. self.assertEqual(list(sorted_topologically([1, 2], graph)), [1, 2]) @@ -78,19 +78,19 @@ class SortTopologically(TestCase): def test_linear(self): "Test that a simple `4 -> 3 -> 2 -> 1` graph works" - graph = {1: [], 2: [1], 3: [2], 4: [3]} # type: Dict[int, List[int]] + graph: Dict[int, List[int]] = {1: [], 2: [1], 3: [2], 4: [3]} self.assertEqual(list(sorted_topologically([4, 3, 2, 1], graph)), [1, 2, 3, 4]) def test_subset(self): "Test that only sorting a subset of the graph works" - graph = {1: [], 2: [1], 3: [2], 4: [3]} # type: Dict[int, List[int]] + graph: Dict[int, List[int]] = {1: [], 2: [1], 3: [2], 4: [3]} self.assertEqual(list(sorted_topologically([4, 3], graph)), [3, 4]) def test_fork(self): "Test that a forked graph works" - graph = {1: [], 2: [1], 3: [1], 4: [2, 3]} # type: Dict[int, List[int]] + graph: Dict[int, List[int]] = {1: [], 2: [1], 3: [1], 4: [2, 3]} # Valid orderings are `[1, 3, 2, 4]` or `[1, 2, 3, 4]`, but we should # always get the same one. @@ -98,12 +98,12 @@ class SortTopologically(TestCase): def test_duplicates(self): "Test that a graph with duplicate edges work" - graph = {1: [], 2: [1, 1], 3: [2, 2], 4: [3]} # type: Dict[int, List[int]] + graph: Dict[int, List[int]] = {1: [], 2: [1, 1], 3: [2, 2], 4: [3]} self.assertEqual(list(sorted_topologically([4, 3, 2, 1], graph)), [1, 2, 3, 4]) def test_multiple_paths(self): "Test that a graph with multiple paths between two nodes work" - graph = {1: [], 2: [1], 3: [2], 4: [3, 2, 1]} # type: Dict[int, List[int]] + graph: Dict[int, List[int]] = {1: [], 2: [1], 3: [2], 4: [3, 2, 1]} self.assertEqual(list(sorted_topologically([4, 3, 2, 1], graph)), [1, 2, 3, 4])