code: def load_gasoline(as_series=False, dtype=DTYPE):
      """Weekly US finished motor gasoline products
  
      A weekly time series of US finished motor gasoline products supplied (in
      thousands of barrels per day) from February 1991 to May 2005.
  
      Parameters
      ----------
      as_series : bool, optional (default=False)
          Whether to return a Pandas series. If True, the index will be set to
          the observed years/months. If False, will return a 1d numpy array.
  
      dtype : type, optional (default=np.float64)
          The type to return for the array. Default is np.float64, which is used
          throughout the package as the default type.
  
      Notes
      -----
      The seasonal periodicity of this example is rather difficult, since it's
      not an integer. To be exact, the periodicity is ``365.25 / 7``
      (~=52.1785714285714). To fit the best possible model to this data, you'll
      need to explore using exogenous features
  
      See Also
      --------
      :class:`pmdarima.preprocessing.exog.FourierFeaturizer`
  
      Examples
      --------
      >>> from pmdarima.datasets import load_gasoline
      >>> load_gasoline()
      array([6621. , 6433. , 6582. , ..., 9024. , 9175. , 9269. ])
  
      >>> load_gasoline(True).head()
      0    6621.0
      1    6433.0
      2    6582.0
      3    7224.0
      4    6875.0
      dtype: float64
  
      References
      ----------
      .. [1] http://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=wgfupus2&f=W
      .. [2] https://robjhyndman.com/hyndsight/forecasting-weekly-data/
  
      Returns
      -------
      rslt : array-like, shape=(n_samples,)
          The gasoline dataset. There are 745 examples.
      """  # noqa
      rslt = fetch_from_web_or_disk(url, "gasoline", cache=True).astype(
          dtype
      )
      if not as_series:
          return rslt
  
      return pd.Series(rslt)
  
label_desc: Use image node_id 1 for calling a global function with example usage: load_gasoline(as_series, dtype) and returns: pd, rslt