code: def merge_on_common_items(lst):
      G = nx.Graph()
      for sublst in lst:
          for item in sublst:
              G.add_edge(sublst[0], item)
      return [list(c) for c in nx.connected_components(G)]
  
imports: import logging
  import math
  import os
  from typing import Any, DefaultDict, Dict, List, Optional, Tuple, Union, no_type_check
  import networkx
  import numpy
  import pandas
  import pyarrow.parquet
  import torch
  from sklearn.model_selection import GroupShuffleSplit, train_test_split
  from torch import distributed
  from torch.utils.data import DataLoader, Sampler, SequentialSampler
  from llm_studio.src.datasets.conversation_chain_handler import ConversationChainHandler
  from llm_studio.src.utils.exceptions import LLMDataException
  from llm_studio.src.utils.utils import PatchedAttribute, set_seed
label_desc: Use image node_id 8 for calling a global function with example usage: merge_on_common_items(lst) and returns: unknown