code: def concate_parts(input_dict: Dict) -> Dict:
      for key in input_dict:
          input_dict[key] = list(itertools.chain(*input_dict[key]))
      return input_dict
  
imports: import itertools
  import warnings
  import torch
  import torch.nn
  from torch.utils.data import Dataset
  from typing import Union, List, Tuple, Dict, Optional
  from transformers.data.processors.utils import InputExample, InputFeatures
  from transformers.tokenization_utils import PreTrainedTokenizer
  from collections import defaultdict
  from openprompt.utils import round_list
  import numpy
label_desc: Use image node_id 9 for calling the TokenizerWrapper obj's underlying member method code with example usage: obj.concate_parts(input_dict) and returns: input_dict