code: def test_models_can_be_initialized(model_class, temp_model_path):
      model = model_class(
          path=temp_model_path, freq="H", prediction_length=24
      )
      assert isinstance(model, AbstractTimeSeriesModel)
  
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 2 for calling a global function with example usage: test_models_can_be_initialized(model_class, temp_model_path) without return types