code: def pandas_get_duplicates(
      config: Settings, df: pd.DataFrame, supported_columns: Sequence
  ) -> Tuple[Dict[str, Any], Optional[pd.DataFrame]]:
      """Obtain the most occurring duplicate rows in the DataFrame.
  
      Args:
          config: report Settings object
          df: the Pandas DataFrame.
          supported_columns: the columns to consider
  
      Returns:
          A subset of the DataFrame, ordered by occurrence.
      """
      n_head = config.duplicates.head
  
      metrics: Dict[str, Any] = {}
      if n_head > 0:
          if supported_columns and len(df) > 0:
              duplicates_key = config.duplicates.key
              if duplicates_key in df.columns:
                  raise ValueError(
                      f"Duplicates key ({duplicates_key}) may not be part of the DataFrame. Either change the "
                      f" column name in the DataFrame or change the 'duplicates.key' parameter."
                  )
  
              duplicated_rows = df.duplicated(
                  subset=supported_columns, keep=False
              )
              duplicated_rows = (
                  df[duplicated_rows]
                  .groupby(
                      supported_columns, dropna=False, observed=True
                  )
                  .size()
                  .reset_index(name=duplicates_key)
              )
  
              metrics["n_duplicates"] = len(
                  duplicated_rows[duplicates_key]
              )
              metrics["p_duplicates"] = metrics["n_duplicates"] / len(
                  df
              )
  
              return (
                  metrics,
                  duplicated_rows.nlargest(n_head, duplicates_key),
              )
          else:
              metrics["n_duplicates"] = 0
              metrics["p_duplicates"] = 0.0
              return metrics, None
      else:
          return metrics, None
  
imports: from typing import Any, Dict, Optional, Sequence, Tuple
  import pandas
  from ydata_profiling.config import Settings
  from ydata_profiling.model.duplicates import get_duplicates
label_desc: Use image node_id 1 for calling a global function with example usage: pandas_get_duplicates(config, df, supported_columns) and returns: metrics,  None, metrics,  duplicated_rows, metrics,  None