code: def model():
      return LightFM(
          loss="warp", random_state=np.random.RandomState(SEEDNO)
      )
  
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 3 for calling a global function with example usage: model() and returns: LightFM