code: def test_warp_loss(positive_scores, many_negative_scores):
      actual = warp_loss(
          positive_scores, many_negative_scores, num_items=4
      )
      expected = (11.366 + 72.385) / 4
  
      assert_almost_equal(actual.item(), expected, decimal=3)
  
file_path: collie/tests/test_losses.py
imports: from numpy.testing import assert_almost_equal, assert_array_equal
  import pytest
  import torch
  from collie.loss import adaptive_bpr_loss, adaptive_hinge_loss, bpr_loss, hinge_loss, ideal_difference_from_metadata, warp_loss
label_desc: Use image node_id 9 for calling a global function with example usage: test_warp_loss(positive_scores, many_negative_scores) without return types