Black reformatting

Author: smlindauer

src/sasctl/pzmm/mlflow_model.py

@@ -39,14 +39,20 @@ def read_mlflow_model_file(cls, m_path=Path.cwd()):
             var_dict = {
                 "python_version": m_yml["flavors"]["python_function"]["python_version"],
                 "model_path": m_yml["flavors"]["python_function"]["model_path"],
-                "serialization_format": m_yml["flavors"]["sklearn"]["serialization_format"],
+                "serialization_format": m_yml["flavors"]["sklearn"][
+                    "serialization_format"
+                ],
                 "run_id": m_yml["run_id"],
-                "mlflowPath": m_path
+                "mlflowPath": m_path,
             }
         except KeyError:
-            raise ValueError("This MLFlow model type is not currently supported.") from None
+            raise ValueError(
+                "This MLFlow model type is not currently supported."
+            ) from None
         except TypeError:
-            raise ValueError("This MLFlow model type is not currently supported.") from None
+            raise ValueError(
+                "This MLFlow model type is not currently supported."
+            ) from None
 
         # Read in the input and output variables
         try:
@@ -57,5 +63,5 @@ def read_mlflow_model_file(cls, m_path=Path.cwd()):
                 "Improper or unset signature values for model. No input or output "
                 "dicts could be generated. "
             ) from None
-        
+
         return var_dict, inputs_dict, outputs_dict

src/sasctl/pzmm/write_json_files.py

@@ -510,7 +510,7 @@ def write_file_metadata_json(
             dict_list.append({"role": "scoreResource", "name": model_prefix + ".mojo"})
         elif is_tf_keras_model:
             dict_list.append({"role": "scoreResource", "name": model_prefix + ".h5"})
-        #conditions added for pytorch.
+        # conditions added for pytorch.
         elif is_pytorch_model:
             dict_list.append(({"role": "scoreResource", "name": model_prefix + ".pth"}))
         else:

src/sasctl/pzmm/write_score_code.py

@@ -563,7 +563,7 @@ def _viya35_model_load(
             )
         elif pytorch_model:
             cls.score_code += (
-                f"model = torch.load(\"/models/resources/viya/{model_id}/\" + "
+                f'model = torch.load("/models/resources/viya/{model_id}/" + '
                 f"{model_file_name})\n\n"
             )
             return (