ENH: Autoupdate hooks [pre-commit.ci]

.pre-commit-config.yaml

@@ -9,7 +9,7 @@ ci:
 
 repos:
 - repo: https://github.com/pre-commit/pre-commit-hooks
-  rev: v4.4.0
+  rev: v5.0.0
   hooks:
   - id: check-ast                  # Simply check whether the files parse as valid python
   - id: check-yaml                 # Attempts to load all yaml files to verify syntax
@@ -26,7 +26,7 @@ repos:
 # The structure of this was suggested by the author of pre-commit and maintainer of flake8
 # See https://stackoverflow.com/a/66485642/3956024
 - repo: https://github.com/PyCQA/flake8
-  rev: 6.0.0
+  rev: 7.1.1
   hooks:
   - id: flake8
     name: flake8 ./hi-ml/
@@ -50,7 +50,7 @@ repos:
     args: [--config, hi-ml-multimodal/.flake8]
 
 - repo: https://github.com/psf/black
-  rev: 23.3.0
+  rev: 24.10.0
   hooks:
   - id: black
     extend-exclude: ^docs/source/amulet/amulet_script.py

hi-ml-cpath/src/health_cpath/utils/report_utils.py

@@ -228,9 +228,11 @@ def get_best_epoch_metrics(
         containing only scalar values.
     """
     best_metrics = [
-        metrics_df.loc[metrics_list, k].apply(lambda values: values[epoch])
-        if epoch is not None
-        else metrics_df.loc[metrics_list, k]
+        (
+            metrics_df.loc[metrics_list, k].apply(lambda values: values[epoch])
+            if epoch is not None
+            else metrics_df.loc[metrics_list, k]
+        )
         for k, epoch in best_epochs.items()
     ]
     best_metrics_df = pd.DataFrame(best_metrics).T

hi-ml-cpath/testSSL/conftest.py

@@ -4,6 +4,7 @@
 DO NOT RENAME THIS FILE: (https://docs.pytest.org/en/latest/fixture.html#sharing-a-fixture-across-tests-in-a-module
 -or-class-session)
 """
+
 import shutil
 import uuid
 from pathlib import Path

hi-ml-multimodal/test_multimodal/image/model/test_encoder.py

@@ -47,9 +47,9 @@ def test_reload_resnet_with_dilation(replace_stride_with_dilation: Sequence[bool
 
     resnet50_kwargs = {
         "pretrained": True,
-        "replace_stride_with_dilation": replace_stride_with_dilation
-        if replace_stride_with_dilation
-        else DEFAULT_DILATION_VALUES_FOR_RESNET,
+        "replace_stride_with_dilation": (
+            replace_stride_with_dilation if replace_stride_with_dilation else DEFAULT_DILATION_VALUES_FOR_RESNET
+        ),
     }
     expected_model = resnet50(**resnet50_kwargs)
 

hi-ml/src/health_ml/utils/logging.py

@@ -374,9 +374,9 @@ def log_on_epoch(
     if name is not None:
         metrics[name] = value  # type: ignore
     metrics_as_tensors = {
-        key: torch.tensor(value, dtype=torch.float, device=module.device)
-        if isinstance(value, numbers.Number)
-        else value
+        key: (
+            torch.tensor(value, dtype=torch.float, device=module.device) if isinstance(value, numbers.Number) else value
+        )
         for key, value in metrics.items()
     }
     module.log_dict(metrics_as_tensors, on_epoch=True, on_step=False, sync_dist=is_sync_dist, reduce_fx=reduce_fx)