fixing linter errors

xml_converter/generators/generate_cpp.py

@@ -368,7 +368,7 @@ def write_attribute(output_directory: str, data: Dict[str, Document]) -> None:
             proto_field_type = new_type
 
             new_prototype = get_proto_field_cpp_prototype(marker_type, metadata[filepath]["protobuf_field"])
-            if proto_field_prototype != None and proto_field_prototype != new_prototype:
+            if proto_field_prototype is not None and proto_field_prototype != new_prototype:
                 print("Proto Field prototype differes between different marker types for ", metadata[filepath]["protobuf_field"])
             proto_field_prototype = new_prototype
 

xml_converter/generators/protobuf_types.py

@@ -49,7 +49,7 @@
 # Define transformer
 class ProtoDictTransformer(Transformer):  # type: ignore
     def start(self, items: List):  # type: ignore
-        messages = {}
+        messages = {}  # type: ignore
         for item in items:
             if type(item) is dict:
                 for key, value in item.items():
@@ -167,6 +167,7 @@ def get_proto_field_type(message: str, field: str) -> str:
     "bytes": "std::string",
 }
 
+
 def get_proto_field_cpp_type(message: str, field: str) -> str:
     value = get_proto_field_type(message, field)
 
@@ -189,6 +190,7 @@ def get_proto_field_cpp_prototype(message: str, field: str) -> Optional[str]:
         proto_field_type=value,
     )
 
+
 def is_proto_field_scalar(message: str, field: str) -> bool:
     value = get_proto_field_type(message, field)
 
@@ -198,5 +200,4 @@ def is_proto_field_scalar(message: str, field: str) -> bool:
     if value in proto_field_types["_enums_"]:
         return True
 
-
     return False