Use inline type hints in `tests/` (#10350)

This PR is tantamount to running:

    python3.8 -m com2ann -v 6 tests/

(com2ann requires python 3.8 to run)

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])