Suppose I want to do something simple like

combined_df = reduce(lambda left, right: pd.merge(left, right, on=keys, how='outer'), dfs)

in a Kedro node. What's the best way of passing the

dfs

parameter as an

inputs

override to

kedro.pipeline.modular_pipeline.pipeline

given the type hints for that parameter are constrained to

(parameter) inputs: str | set[str] | dict[str, str] | None

?

I actually have a example that is sort of like this in the node that calls the

joiner

function https://github.com/datajoely/modular-spaceflights/tree/main/src/modular_spaceflights/pipelines/feature_engineering