## vectorized_lookup_ordered_v1()


Apply ordered regex matching to a Pandas Series.


Usage

``` python
vectorized_lookup_ordered_v1(
    series,
    mapping_df,
)
```


For each regex pattern in mapping_df, check if the value in series matches the pattern. The corresponding TARGET is assigned when a match is found, and later rules are skipped. Any cell that does not match any pattern retains its original value.


## Parameters


`series: pd.Series`  
The input data series (e.g., a DataFrame column).

`mapping_df: pd.DataFrame`  
A DataFrame with at least two columns:

- `SOURCE`: regex patterns (ordered by priority)
- `TARGET`: corresponding replacement values


## Returns


`pd.Series`  
A new series with values replaced according to the first matching

regex, or the original value if no match is found.