code: def test_config_training_quantiles_error_invalid_type():
      config_train_params = generate_config_train_params()
      config_train_params["quantiles"] = "hello world"
      with pytest.raises(AssertionError) as err:
          Train(**config_train_params)
      assert (
          str(err.value)
          == "Quantiles must be in a list format, not None or scalar."
      )
  
imports: import pytest
  from neuralprophet.configure import Train
label_desc: Use image node_id 3 for calling a global function with example usage: test_config_training_quantiles_error_invalid_type() without return types