code: def test_warp_few_items():
      no_users, no_items = (1000, 2)
  
      train = sp.rand(no_users, no_items, format="csr", random_state=42)
  
      model = LightFM(loss="warp", max_sampled=10)
  
      model.fit(train)
  
imports: import numpy
  import pytest
  import scipy.sparse
  from lightfm.lightfm import LightFM
label_desc: Use image node_id 18 for calling a global function with example usage: test_warp_few_items() without return types