code: def pandas_describe_generic(
      config: Settings, series: pd.Series, summary: dict
  ) -> Tuple[Settings, pd.Series, dict]:
      """Describe generic series.
  
      Args:
          config: report Settings object
          series: The Series to describe.
          summary: The dict containing the series description so far.
  
      Returns:
          A dict containing calculated series description values.
      """
  
      # number of observations in the Series
      length = len(series)
  
      summary.update(
          {
              "n": length,
              "p_missing": summary["n_missing"] / length
              if length > 0
              else 0,
              "count": length - summary["n_missing"],
              "memory_size": series.memory_usage(
                  deep=config.memory_deep
              ),
          }
      )
  
      return config, series, summary
  
imports: from typing import Tuple
  import pandas
  from ydata_profiling.config import Settings
  from ydata_profiling.model.summary_algorithms import describe_generic
label_desc: Use image node_id 1 for calling a global function with example usage: pandas_describe_generic(config, series, summary) and returns: config,  series,  summary