fix format

Signed-off-by: YunLiu <[email protected]>

Author: KumoLiu

monai/bundle/workflows.py

@@ -118,8 +118,10 @@ def __init__(
                     self.properties = properties[workflow_type]
                     if "meta" in properties:
                         self.properties.update(properties["meta"])
-                except:
-                    raise ValueError(f"{self.workflow_type} not find in property file {properties_path}")
+                except KeyError:
+                    raise ValueError(f"{workflow_type} not found in property file {properties_path}")
+                except json.JSONDecodeError:
+                    raise ValueError(f"Error decoding JSON from property file {properties_path}")
         else:
             if workflow_type == "train":
                 self.properties = {**TrainProperties, **MetaProperties}
@@ -278,10 +280,16 @@ def __init__(
         config_file: str | Sequence[str] | None = None,
         meta_file: str | Sequence[str] | None = None,
         logging_file: str | None = None,
-        **override: Any
+        **override: Any,
     ):
         meta_file = str(Path(os.getcwd()) / "metadata.json") if meta_file is None else meta_file
-        super().__init__(workflow_type=workflow_type, workflow=workflow, properties_path=properties_path, meta_file=meta_file, logging_file=logging_file)
+        super().__init__(
+            workflow_type=workflow_type,
+            workflow=workflow,
+            properties_path=properties_path,
+            meta_file=meta_file,
+            logging_file=logging_file,
+        )
         self._props = {}
         self._set_props = {}
         self.parser = ConfigParser()
@@ -328,7 +336,7 @@ def _get_property(self, name: str, property: dict) -> Any:
         """
         value = None
         id = self.properties.get(name, None).get(BundlePropertyConfig.ID, None)
-        print(self.parser.config.keys(), self.parser.config["_meta_"], '*********')
+        print(self.parser.config.keys(), self.parser.config["_meta_"], "*********")
         if name in self._set_props:
             value = self._set_props[name]
             self._props[name] = value

tests/nonconfig_workflow.py

@@ -28,7 +28,7 @@
     ScaleIntensityd,
     ScaleIntensityRanged,
 )
-from monai.utils import BundleProperty, set_determinism, CommonKeys
+from monai.utils import BundleProperty, CommonKeys, set_determinism
 
 
 class NonConfigWorkflow(BundleWorkflow):
@@ -184,8 +184,16 @@ class PythonicWorkflowImpl(PythonicWorkflow):
     Test class simulates the bundle workflow defined by Python script directly.
     """
 
-    def __init__(self, workflow_type: str = "inference", config_file: str | None = None, properties_path: str | None = None, meta_file: str | None = None):
-        super().__init__(workflow_type=workflow_type, properties_path=properties_path, config_file=config_file, meta_file=meta_file)
+    def __init__(
+        self,
+        workflow_type: str = "inference",
+        config_file: str | None = None,
+        properties_path: str | None = None,
+        meta_file: str | None = None,
+    ):
+        super().__init__(
+            workflow_type=workflow_type, properties_path=properties_path, config_file=config_file, meta_file=meta_file
+        )
         self.dataflow = {}
 
     def initialize(self):
@@ -204,16 +212,8 @@ def initialize(self):
                 ScaleIntensityRanged(keys="image", a_min=-57, a_max=164, b_min=0.0, b_max=1.0, clip=True),
             ]
         )
-        self.dataset = Dataset(
-            data=[self.dataflow],
-            transform=preprocessing,
-        )
-        self.postprocessing = Compose(
-            [
-                Activationsd(keys="pred", softmax=True),
-                AsDiscreted(keys="pred", argmax=True),
-            ]
-        )
+        self.dataset = Dataset(data=[self.dataflow], transform=preprocessing)
+        self.postprocessing = Compose([Activationsd(keys="pred", softmax=True), AsDiscreted(keys="pred", argmax=True)])
         self.inferer = SlidingWindowInferer(roi_size=self.parser.roi_size, sw_batch_size=1, overlap=0)
 
     def run(self):
@@ -232,6 +232,6 @@ def get_bundle_root(self):
 
     def get_device(self):
         return torch.device("cuda" if torch.cuda.is_available() else "cpu")
-    
+
     def get_inferer(self):
         return self.inferer