@parameterize_sources example. This will create

parameterize_sources_example.py

# functions.py - declare and link your transformations as functions....
import pandas as pd
from hamilton.function_modifiers import parameterize_sources

def a(input: pd.Series) -> pd.Series:
    return input % 7

def b(a: pd.Series) -> pd.Series:
    return a * 2

def c(a: pd.Series, b: pd.Series) -> pd.Series:
    return a * 3 + b * 2

def d(c: pd.Series) -> pd.Series:
    return c ** 3
    
# there are ways to make getting this list dynamic
# but I wont show them here
node_list = ["a", "b", "c", "d"]
   
@parameterize_sources(
 **{f"{n}_precision": {"val": n}
     for n in node_list
    }
)
def precision_func(val: pd.Series) -> float:
    """Precision calculation for {val}"""
    return val.sum()