test.util.test_itertools

tests/util/test_itertools.py

@@ -19,7 +19,7 @@ from tests.unittest import TestCase
 
 
 class ChunkSeqTests(TestCase):
-    def test_short_seq(self):
+    def test_short_seq(self) -> None:
         parts = chunk_seq("123", 8)
 
         self.assertEqual(
@@ -27,7 +27,7 @@ class ChunkSeqTests(TestCase):
             ["123"],
         )
 
-    def test_long_seq(self):
+    def test_long_seq(self) -> None:
         parts = chunk_seq("abcdefghijklmnop", 8)
 
         self.assertEqual(
@@ -35,7 +35,7 @@ class ChunkSeqTests(TestCase):
             ["abcdefgh", "ijklmnop"],
         )
 
-    def test_uneven_parts(self):
+    def test_uneven_parts(self) -> None:
         parts = chunk_seq("abcdefghijklmnop", 5)
 
         self.assertEqual(
@@ -43,7 +43,7 @@ class ChunkSeqTests(TestCase):
             ["abcde", "fghij", "klmno", "p"],
         )
 
-    def test_empty_input(self):
+    def test_empty_input(self) -> None:
         parts: Iterable[Sequence] = chunk_seq([], 5)
 
         self.assertEqual(
@@ -53,13 +53,13 @@ class ChunkSeqTests(TestCase):
 
 
 class SortTopologically(TestCase):
-    def test_empty(self):
+    def test_empty(self) -> None:
         "Test that an empty graph works correctly"
 
         graph: Dict[int, List[int]] = {}
         self.assertEqual(list(sorted_topologically([], graph)), [])
 
-    def test_handle_empty_graph(self):
+    def test_handle_empty_graph(self) -> None:
         "Test that a graph where a node doesn't have an entry is treated as empty"
 
         graph: Dict[int, List[int]] = {}
@@ -67,7 +67,7 @@ class SortTopologically(TestCase):
         # For disconnected nodes the output is simply sorted.
         self.assertEqual(list(sorted_topologically([1, 2], graph)), [1, 2])
 
-    def test_disconnected(self):
+    def test_disconnected(self) -> None:
         "Test that a graph with no edges work"
 
         graph: Dict[int, List[int]] = {1: [], 2: []}
@@ -75,20 +75,20 @@ class SortTopologically(TestCase):
         # For disconnected nodes the output is simply sorted.
         self.assertEqual(list(sorted_topologically([1, 2], graph)), [1, 2])
 
-    def test_linear(self):
+    def test_linear(self) -> None:
         "Test that a simple `4 -> 3 -> 2 -> 1` graph works"
 
         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):
+    def test_subset(self) -> None:
         "Test that only sorting a subset of the graph works"
         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):
+    def test_fork(self) -> None:
         "Test that a forked graph works"
         graph: Dict[int, List[int]] = {1: [], 2: [1], 3: [1], 4: [2, 3]}
 
@@ -96,13 +96,13 @@ class SortTopologically(TestCase):
         # always get the same one.
         self.assertEqual(list(sorted_topologically([4, 3, 2, 1], graph)), [1, 2, 3, 4])
 
-    def test_duplicates(self):
+    def test_duplicates(self) -> None:
         "Test that a graph with duplicate edges work"
         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):
+    def test_multiple_paths(self) -> None:
         "Test that a graph with multiple paths between two nodes work"
         graph: Dict[int, List[int]] = {1: [], 2: [1], 3: [2], 4: [3, 2, 1]}