code: def get_current_casename(self):
      if self.source == "hdf5":
          data_groups = self.get_data_groups()
          return (
              data_groups[0]
              .data_casenames[self.current_case][0]
              .decode("utf-8")
          )
      else:
          return self.current_case
  
imports: import os
  import csv
  import numpy
  import tables
  import copy
  from tqdm import tqdm
  from deepneuro.augmentation.augment import Copy
  from deepneuro.utilities.conversion import read_image_files
  from deepneuro.data.data_group import DataGroup
  from deepneuro.data.data_load import parse_directories, parse_filepaths, parse_hdf5, parse_csv, parse_numpy
  from deepneuro.utilities.util import add_parameter
label_desc: Use image node_id 11 for calling the DataCollection obj's underlying member method code with example usage: obj.get_current_casename() and returns: data_groups, self