tensorrt_llm/bench/build/dataclasses.py (1)

275-276: ⚡ Quick win

Add explicit type annotations to from_hf.

This modified method should annotate inputs and return type for mypy/static checks.

Proposed fix

     `@classmethod`
-    def from_hf(cls, model_hf_name, hf_model_path):
+    def from_hf(cls, model_hf_name: str, hf_model_path: str | None) -> "Qwen3HybridConfig":

As per coding guidelines, "Always annotate functions; make the return type None if the function does not return anything".

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@tensorrt_llm/bench/build/dataclasses.py` around lines 275 - 276, Annotate the
classmethod signature for from_hf by adding explicit types: change def
from_hf(cls, model_hf_name, hf_model_path): to def from_hf(cls, model_hf_name:
str, hf_model_path: Optional[str]) -> Self (or -> "YourClassName" if not using
Python 3.11), and add the required imports (from typing import Optional and, if
available, Self; otherwise import typing and use typing.Any or the concrete
class name). Ensure the annotation matches other dataclasses in this module and
that mypy/static checks will accept the return type.