code: def sim_items(interactions, fitting):
      _, _, item_features, _ = interactions
      _, fitted_model = fitting
      return similar_items(
          item_id=TEST_ITEM_ID,
          item_features=item_features,
          model=fitted_model,
          N=5,
      )
  
file_path: recommenders/tests/unit/recommenders/models/test_lightfm_utils.py
imports: import pytest
  import itertools
  import numpy
  import pandas
  from lightfm.data import Dataset
  from lightfm import LightFM, cross_validation
  from recommenders.models.lightfm.lightfm_utils import track_model_metrics, similar_users, similar_items
label_desc: Use image node_id 6 for calling a global function with example usage: sim_items(interactions, fitting) and returns: similar_items