checks

Author: mgumowsk

tools/model_converter/README.md

@@ -35,7 +35,7 @@ python model_converter.py config.json -o ./output_models
 
 ### Command-Line Options
 
-```
+```text
 positional arguments:
   config                Path to JSON configuration file
 

tools/model_converter/model_converter.py

@@ -91,7 +91,7 @@ def download_weights(self, url: str, filename: Optional[str] = None) -> Path:
         self.logger.info(f"Saving to: {cached_file}")
 
         try:
-            urllib.request.urlretrieve(url, cached_file)
+            urllib.request.urlretrieve(url, cached_file)  # nosemgrep: python.lang.security.audit.dynamic-urllib-use-detected.dynamic-urllib-use-detected
             self.logger.info("✓ Download complete")
             return cached_file
         except Exception as e:
@@ -111,7 +111,7 @@ def load_model_class(self, class_path: str) -> type:
         try:
             module_path, class_name = class_path.rsplit(".", 1)
             self.logger.debug(f"Importing module: {module_path}")
-            module = importlib.import_module(module_path)
+            module = importlib.import_module(module_path)  # nosemgrep: python.lang.security.audit.non-literal-import.non-literal-import
             model_class = getattr(module, class_name)
             self.logger.debug(f"Loaded class: {class_name}")
             return model_class
@@ -130,7 +130,7 @@ def load_checkpoint(self, checkpoint_path: Path) -> Dict[str, Any]:
             Checkpoint dictionary
         """
         try:
-            checkpoint = torch.load(checkpoint_path, map_location="cpu", weights_only=True)
+            checkpoint = torch.load(checkpoint_path, map_location="cpu", weights_only=True)  # nosemgrep: trailofbits.python.pickles-in-pytorch.pickles-in-pytorch
             self.logger.debug(f"Loaded checkpoint from: {checkpoint_path}")
             return checkpoint
         except Exception as e: