Goal

I will pass you a file <FILE>. In that file, make sure that:

• Callers pass required parameters by position and optional parameters by keyword
• Constants are assigned to an intermediate variable with the same name as the corresponding formal parameter

Conventions

• Follow ## Call Functions with Position Arguments for Required, Keywords for Optional in .claude/skills/coding.rules.md

Examples

• For a function with the signature

  def apply_llm_prompt_to_df(
      prompt: str,
      df: pd.DataFrame,
      extractor: Callable[[Union[str, pd.Series]], str],
      target_col: str,
      batch_mode: str,
      *,
      model: str,
      batch_size: int = 50,
      dump_every_batch: str = "",
      tag: str = "Processing",
      testing_functor: Optional[Callable[[str], str]] = None,
      use_sys_stderr: bool = False,
  ) -> Tuple[pd.DataFrame, Dict[str, int]]:
  

• Bad (required parameters passed by keyword, constant not named)

  df, stats = hllmcli.apply_llm_prompt_to_df(
      prompt=prompt,
      df=df,
      extractor=extract_person_industry_from_df,
      target_col="industry",
      batch_mode=batch_mode,
      batch_size=batch_size,
      model=model,
      tag=tag,
  )
  

• Good (required parameters positional, optional parameters by keyword, constant named)

  target_col = "industry"
  df, stats = hllmcli.apply_llm_prompt_to_df(
      prompt,
      df,
      extract_person_industry_from_df,
      target_col,
      batch_mode,
      batch_size=batch_size,
      model=model,
      tag=tag,
  )
  

Verification

• Confirm required parameters are passed positionally and optional parameters by keyword
• Confirm constants used at call sites are assigned to named intermediate variables
• Run the file's unit tests to confirm behavior is unchanged