code: def test_soft_log_loss(gt, probs):
      gt = np.array(gt, dtype=np.float32)
      probs = np.array(probs, dtype=np.float32)
      ag_loss = soft_log_loss(gt, probs)
      expected = -1.4691482
      np.testing.assert_allclose(ag_loss, expected)
  
imports: import numpy
  import pytest
  import sklearn
  from autogluon.core.metrics import confusion_matrix, log_loss, quadratic_kappa, roc_auc
  from autogluon.core.metrics.softclass_metrics import soft_log_loss
label_desc: Use image node_id 12 for calling a global function with example usage: test_soft_log_loss(gt, probs) without return types