"""
Clustering-based k-anonymity implementation using Polars.
"""
from typing import List, Optional, Union
import polars as pl

def clustering_k_anonymity(
    df: Union[pl.DataFrame, pl.LazyFrame],
    quasi_identifiers: List[str],
    sensitive_column: str,
    k: int,
    categorical: Optional[List[str]] = None,
    method: str = "fcbg",
) -> pl.DataFrame:
    """
    Perform clustering-based k-anonymity using Polars.
    
    Args:
        df: Input DataFrame or LazyFrame
        quasi_identifiers: List of column names to use for clustering
        sensitive_column: Column containing sensitive information
        k: Minimum group size for k-anonymity
        categorical: List of categorical column names
        method: Clustering method ('fcbg', 'rsc', or 'random')
        
    Returns:
        Anonymized DataFrame with generalized quasi-identifiers
    """
    raise NotImplementedError("Clustering k-anonymity will be implemented soon")
