code: def test_fetch_dataset():
      """
      Test function `fetch_dataset`.
      """
  
      # Test fetching the 'h2o' dataset
      df = fetch_dataset(
          "h2o", version="latest", raw=False, verbose=False
      )
      assert isinstance(df, pd.DataFrame)
      assert df.shape == (204, 1)
      assert df.index.freq == "MS"
      assert df.index[0].strftime("%Y-%m-%d") == "1991-07-01"
      assert df.index[-1].strftime("%Y-%m-%d") == "2008-06-01"
  
      # Test fetching the 'items_sales' dataset
      df = fetch_dataset(
          "items_sales", version="latest", raw=False, verbose=True
      )
      assert isinstance(df, pd.DataFrame)
      assert df.shape == (1097, 3)
      assert df.index.freq == "D"
      assert df.index[0] == pd.Timestamp("2012-01-01")
      assert df.index[-1] == pd.Timestamp("2015-01-01")
  
      # Test fetching a non-existent dataset
      with pytest.raises(ValueError):
          fetch_dataset(
              "non_existent_dataset",
              version="latest",
              raw=False,
              verbose=False,
          )
  
      # Test fetching a dataset with a non-existent version
      with pytest.raises(ValueError):
          fetch_dataset(
              "h2o",
              version="non_existent_version",
              raw=False,
              verbose=False,
          )
  
imports: import re
  import pytest
  import pandas
  from skforecast.datasets import fetch_dataset
label_desc: Use image node_id 1 for calling a global function with example usage: test_fetch_dataset() without return types