code: def test_score_on_net_fit(self, loss_scoring_fn, net_fit, data):
      X, y = data
      score_value = loss_scoring_fn(net_fit, X, y)
      assert np.isscalar(score_value)
  
imports: import pytest
  import numpy
  import torch
label_desc: Use image node_id 15 for calling the TestLossScoring obj's underlying member method code with example usage: obj.test_score_on_net_fit(loss_scoring_fn, net_fit, data) without return types