code: def test_config_training_quantiles():
      checks = [
          ({}, [0.5]),
          ({"quantiles": None}, [0.5]),
          ({"quantiles": []}, [0.5]),
          ({"quantiles": [0.2]}, [0.5, 0.2]),
          ({"quantiles": [0.2, 0.8]}, [0.5, 0.2, 0.8]),
          ({"quantiles": [0.5, 0.8]}, [0.5, 0.8]),
      ]
  
      for overrides, expected in checks:
          config_train_params = generate_config_train_params(overrides)
          config = Train(**config_train_params)
          assert config.quantiles == expected
  
imports: import pytest
  from neuralprophet.configure import Train
label_desc: Use image node_id 2 for calling a global function with example usage: test_config_training_quantiles() without return types