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During the migration the automated script to update the copyright headers accidentally got rid of some of the existing copyright lines. Reinstate them.
190 lines
6.2 KiB
Python
190 lines
6.2 KiB
Python
#
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# This file is licensed under the Affero General Public License (AGPL) version 3.
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#
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# Copyright 2020 The Matrix.org Foundation C.I.C.
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# Copyright (C) 2023 New Vector, Ltd
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as
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# published by the Free Software Foundation, either version 3 of the
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# License, or (at your option) any later version.
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#
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# See the GNU Affero General Public License for more details:
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# <https://www.gnu.org/licenses/agpl-3.0.html>.
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#
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# Originally licensed under the Apache License, Version 2.0:
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# <http://www.apache.org/licenses/LICENSE-2.0>.
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#
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# [This file includes modifications made by New Vector Limited]
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#
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#
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from typing import Dict, Iterable, List, Sequence
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from synapse.util.iterutils import (
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chunk_seq,
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sorted_topologically,
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sorted_topologically_batched,
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)
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from tests.unittest import TestCase
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class ChunkSeqTests(TestCase):
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def test_short_seq(self) -> None:
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parts = chunk_seq("123", 8)
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self.assertEqual(
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list(parts),
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["123"],
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)
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def test_long_seq(self) -> None:
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parts = chunk_seq("abcdefghijklmnop", 8)
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self.assertEqual(
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list(parts),
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["abcdefgh", "ijklmnop"],
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)
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def test_uneven_parts(self) -> None:
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parts = chunk_seq("abcdefghijklmnop", 5)
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self.assertEqual(
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list(parts),
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["abcde", "fghij", "klmno", "p"],
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)
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def test_empty_input(self) -> None:
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parts: Iterable[Sequence] = chunk_seq([], 5)
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self.assertEqual(
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list(parts),
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[],
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)
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class SortTopologically(TestCase):
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def test_empty(self) -> None:
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"Test that an empty graph works correctly"
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graph: Dict[int, List[int]] = {}
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self.assertEqual(list(sorted_topologically([], graph)), [])
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def test_handle_empty_graph(self) -> None:
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"Test that a graph where a node doesn't have an entry is treated as empty"
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graph: Dict[int, List[int]] = {}
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# For disconnected nodes the output is simply sorted.
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self.assertEqual(list(sorted_topologically([1, 2], graph)), [1, 2])
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def test_disconnected(self) -> None:
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"Test that a graph with no edges work"
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graph: Dict[int, List[int]] = {1: [], 2: []}
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# For disconnected nodes the output is simply sorted.
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self.assertEqual(list(sorted_topologically([1, 2], graph)), [1, 2])
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def test_linear(self) -> None:
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"Test that a simple `4 -> 3 -> 2 -> 1` graph works"
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graph: Dict[int, List[int]] = {1: [], 2: [1], 3: [2], 4: [3]}
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self.assertEqual(list(sorted_topologically([4, 3, 2, 1], graph)), [1, 2, 3, 4])
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def test_subset(self) -> None:
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"Test that only sorting a subset of the graph works"
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graph: Dict[int, List[int]] = {1: [], 2: [1], 3: [2], 4: [3]}
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self.assertEqual(list(sorted_topologically([4, 3], graph)), [3, 4])
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def test_fork(self) -> None:
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"Test that a forked graph works"
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graph: Dict[int, List[int]] = {1: [], 2: [1], 3: [1], 4: [2, 3]}
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# Valid orderings are `[1, 3, 2, 4]` or `[1, 2, 3, 4]`, but we should
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# always get the same one.
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self.assertEqual(list(sorted_topologically([4, 3, 2, 1], graph)), [1, 2, 3, 4])
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def test_duplicates(self) -> None:
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"Test that a graph with duplicate edges work"
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graph: Dict[int, List[int]] = {1: [], 2: [1, 1], 3: [2, 2], 4: [3]}
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self.assertEqual(list(sorted_topologically([4, 3, 2, 1], graph)), [1, 2, 3, 4])
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def test_multiple_paths(self) -> None:
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"Test that a graph with multiple paths between two nodes work"
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graph: Dict[int, List[int]] = {1: [], 2: [1], 3: [2], 4: [3, 2, 1]}
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self.assertEqual(list(sorted_topologically([4, 3, 2, 1], graph)), [1, 2, 3, 4])
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class SortTopologicallyBatched(TestCase):
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"Test cases for `sorted_topologically_batched`"
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def test_empty(self) -> None:
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"Test that an empty graph works correctly"
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graph: Dict[int, List[int]] = {}
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self.assertEqual(list(sorted_topologically_batched([], graph)), [])
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def test_handle_empty_graph(self) -> None:
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"Test that a graph where a node doesn't have an entry is treated as empty"
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graph: Dict[int, List[int]] = {}
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# For disconnected nodes the output is simply sorted.
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self.assertEqual(list(sorted_topologically_batched([1, 2], graph)), [[1, 2]])
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def test_disconnected(self) -> None:
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"Test that a graph with no edges work"
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graph: Dict[int, List[int]] = {1: [], 2: []}
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# For disconnected nodes the output is simply sorted.
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self.assertEqual(list(sorted_topologically_batched([1, 2], graph)), [[1, 2]])
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def test_linear(self) -> None:
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"Test that a simple `4 -> 3 -> 2 -> 1` graph works"
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graph: Dict[int, List[int]] = {1: [], 2: [1], 3: [2], 4: [3]}
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self.assertEqual(
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list(sorted_topologically_batched([4, 3, 2, 1], graph)),
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[[1], [2], [3], [4]],
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)
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def test_subset(self) -> None:
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"Test that only sorting a subset of the graph works"
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graph: Dict[int, List[int]] = {1: [], 2: [1], 3: [2], 4: [3]}
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self.assertEqual(list(sorted_topologically_batched([4, 3], graph)), [[3], [4]])
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def test_fork(self) -> None:
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"Test that a forked graph works"
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graph: Dict[int, List[int]] = {1: [], 2: [1], 3: [1], 4: [2, 3]}
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# Valid orderings are `[1, 3, 2, 4]` or `[1, 2, 3, 4]`, but we should
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# always get the same one.
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self.assertEqual(
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list(sorted_topologically_batched([4, 3, 2, 1], graph)), [[1], [2, 3], [4]]
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)
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def test_duplicates(self) -> None:
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"Test that a graph with duplicate edges work"
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graph: Dict[int, List[int]] = {1: [], 2: [1, 1], 3: [2, 2], 4: [3]}
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self.assertEqual(
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list(sorted_topologically_batched([4, 3, 2, 1], graph)),
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[[1], [2], [3], [4]],
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)
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def test_multiple_paths(self) -> None:
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"Test that a graph with multiple paths between two nodes work"
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graph: Dict[int, List[int]] = {1: [], 2: [1], 3: [2], 4: [3, 2, 1]}
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self.assertEqual(
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list(sorted_topologically_batched([4, 3, 2, 1], graph)),
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[[1], [2], [3], [4]],
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)
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