code: def convert_to_ten_digit_int(self, column: pd.Series) -> pd.Series:
          
          if isinstance(column.iloc[0], datetime.datetime):
              column = self.clip_to_seconds(column.astype(int))
          elif np.issubdtype(column.iloc[0], np.integer):
              if not len(column >= 0) == len(column):
                  raise RandomnessError("Values in integer columns must be greater than or equal to zero.")
              column = self.spread(column)
          elif np.issubdtype(column.iloc[0], np.floating):
              column = self.shift(column)
          else:
              raise RandomnessError(f"Unhashable column type {type(column.iloc[0])}. "
                                    "IndexMap accepts datetime like columns and numeric columns.")
          return column
docs: Converts a column of datetimes, integers, or floats into a column of 10 digit integers.
  
          Parameters
          ----------
          column :
              A series of datetimes, integers, or floats.
  
          Returns
          -------
          pd.Series
              A series of ten digit integers based on the input data.
  
          Raises
          ------
          RandomnessError :
              If the column contains data that is neither a datetime-like nor numeric.