code: def test_multiple_predictions():
      # Given
      input_target_values = [1.0, 2.0, 3.0]
      input_quantile_values = [[1.0, 1.1], [2.0, 1.9], [2.0, 4.0]]
      input_quantile_levels = [0.5, 0.75]
      expected_output = 0.425 / 3
  
      # When
      observed_output = pinball_loss(
          input_target_values,
          input_quantile_values,
          input_quantile_levels,
      )
  
      # Then
      assert np.isclose(expected_output, observed_output)
  
file_path: autogluon/core/tests/unittests/metrics/test_quantile_metrics.py
imports: import numpy
  import pytest
  from autogluon.core.metrics.quantile_metrics import pinball_loss
label_desc: Use image node_id 5 for calling a global function with example usage: test_multiple_predictions() without return types