code: def test_config_training_quantiles_error_invalid_scale():
      config_train_params = generate_config_train_params()
      config_train_params["quantiles"] = [-1]
      with pytest.raises(Exception) as err:
          Train(**config_train_params)
      assert (
          str(err.value)
          == "The quantiles specified need to be floats in-between (0, 1)."
      )
  
imports: import pytest
  from neuralprophet.configure import Train
label_desc: Use image node_id 4 for calling a global function with example usage: test_config_training_quantiles_error_invalid_scale() without return types