code: def test_given_hyperparameter_spaces_to_init_when_fit_called_then_error_is_raised(
      model_class, temp_model_path
  ):
      model = model_class(
          path=temp_model_path,
          freq="H",
          quantile_levels=[0.1, 0.9],
          hyperparameters={
              "epochs": space.Int(3, 4),
          },
      )
      with pytest.raises(ValueError, match=".*hyperparameter_tune.*"):
          model.fit(
              train_data=DUMMY_TS_DATAFRAME,
          )
  
imports: import itertools
  import shutil
  import sys
  import tempfile
  from unittest import mock
  import numpy
  import pandas
  import pytest
  from flaky import flaky
  from autogluon.common import space
  from autogluon.core.hpo.constants import RAY_BACKEND
  from autogluon.timeseries import TimeSeriesDataFrame
  from autogluon.timeseries.dataset.ts_dataframe import ITEMID, TIMESTAMP
  from autogluon.timeseries.metrics import AVAILABLE_METRICS
  from autogluon.timeseries.models import DeepARModel, ETSModel
  from autogluon.timeseries.models.abstract import AbstractTimeSeriesModel
  from autogluon.timeseries.models.multi_window import MultiWindowBacktestingModel
  from ..common import DUMMY_TS_DATAFRAME, CustomMetric, dict_equal_primitive, get_data_frame_with_item_index
  from .test_gluonts import TESTABLE_MODELS
  from .test_local import TESTABLE_MODELS
  from .test_mlforecast import TESTABLE_MODELS
  from .test_multi_window_model import get_multi_window_deepar
label_desc: Use image node_id 9 for calling a global function with example usage: test_given_hyperparameter_spaces_to_init_when_fit_called_then_error_is_raised(model_class, temp_model_path) without return types