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Fix function call sites to pass positional args by position and assign constants to intermediate variables
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Based on SOC occupation classification
Refactor unit test files by aligning strings, renaming methods, and factoring out common test code
Identify and refactor duplicated code blocks into shared functions across Python files
Find documentation files for a given dir, file, class, or function and summarize in 3 bullet points
Replace "from X import Y" style imports with "import X" and update usages throughout a file
Identify functions not called externally and rename them with a leading underscore to make them private
Rename files, functions, and variables across a codebase and update all references
| name | coding.fix_param_use |
| description | Fix function call sites to pass positional args by position and assign constants to intermediate variables |
I will pass you a file
In that file, make sure that:
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: Optional[str] = None,
tag: str = "Processing",
testing_functor: Optional[Callable[[str], str]] = None,
use_sys_stderr: bool = False,
) -> Tuple[pd.DataFrame, Dict[str, int]]:
Bad
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
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,
)