Apply pyupgrade for Python 3.9+ syntax

This should have been included in 14b086b when Python 3.8 support was dropped.

Changes were automatically applied by running:
pre_commit run --all-files

Signed-off-by: James Butler <james.butler@revvity.com>

Author: jamesobutler

.pre-commit-config.yaml

@@ -37,7 +37,7 @@ repos:
     rev: v3.18.0
     hooks:
       - id: pyupgrade
-        args: [--py38-plus, --keep-runtime-typing]
+        args: [--py39-plus, --keep-runtime-typing]
         name: Upgrade code with exceptions
         exclude: |
           (?x)(

monai/apps/detection/networks/retinanet_network.py

@@ -42,7 +42,7 @@
 import math
 import warnings
 from collections.abc import Callable, Sequence
-from typing import Any, Dict
+from typing import Any
 
 import torch
 from torch import Tensor, nn
@@ -330,7 +330,7 @@ def forward(self, images: Tensor) -> Any:
         features = self.feature_extractor(images)
         if isinstance(features, Tensor):
             feature_maps = [features]
-        elif torch.jit.isinstance(features, Dict[str, Tensor]):
+        elif torch.jit.isinstance(features, dict[str, Tensor]):
             feature_maps = list(features.values())
         else:
             feature_maps = list(features)

monai/apps/detection/transforms/array.py

@@ -15,7 +15,9 @@
 
 from __future__ import annotations
 
-from typing import Any, Sequence
+from typing import Any
+
+from collections.abc import Sequence
 
 import numpy as np
 import torch

monai/apps/detection/utils/anchor_utils.py

@@ -39,7 +39,8 @@
 
 from __future__ import annotations
 
-from typing import List, Sequence
+
+from collections.abc import Sequence
 
 import torch
 from torch import Tensor, nn
@@ -106,7 +107,7 @@ class AnchorGenerator(nn.Module):
             anchor_generator = AnchorGenerator(sizes, aspect_ratios)
     """
 
-    __annotations__ = {"cell_anchors": List[torch.Tensor]}
+    __annotations__ = {"cell_anchors": list[torch.Tensor]}
 
     def __init__(
         self,
@@ -364,7 +365,7 @@ class AnchorGeneratorWithAnchorShape(AnchorGenerator):
             anchor_generator = AnchorGeneratorWithAnchorShape(feature_map_scales, base_anchor_shapes)
     """
 
-    __annotations__ = {"cell_anchors": List[torch.Tensor]}
+    __annotations__ = {"cell_anchors": list[torch.Tensor]}
 
     def __init__(
         self,

monai/apps/generation/maisi/networks/autoencoderkl_maisi.py

@@ -13,7 +13,7 @@
 
 import gc
 import logging
-from typing import Sequence
+from collections.abc import Sequence
 
 import torch
 import torch.nn as nn

monai/apps/generation/maisi/networks/controlnet_maisi.py

@@ -11,7 +11,7 @@
 
 from __future__ import annotations
 
-from typing import Sequence
+from collections.abc import Sequence
 
 import torch
 

monai/apps/pathology/engines/utils.py

@@ -11,7 +11,9 @@
 
 from __future__ import annotations
 
-from typing import Any, Sequence
+from typing import Any
+
+from collections.abc import Sequence
 
 import torch
 

monai/apps/pathology/inferers/inferer.py

@@ -11,7 +11,9 @@
 
 from __future__ import annotations
 
-from typing import Any, Callable, Sequence
+from typing import Any, Callable
+
+from collections.abc import Sequence
 
 import numpy as np
 import torch

monai/apps/pathology/metrics/lesion_froc.py

@@ -11,7 +11,9 @@
 
 from __future__ import annotations
 
-from typing import TYPE_CHECKING, Any, Iterable
+from typing import TYPE_CHECKING, Any
+
+from collections.abc import Iterable
 
 import numpy as np
 

monai/apps/pathology/transforms/post/array.py

@@ -12,7 +12,9 @@
 from __future__ import annotations
 
 import warnings
-from typing import Callable, Sequence
+from typing import Callable
+
+from collections.abc import Sequence
 
 import numpy as np
 import torch