code: def _naive_2_forecasts(
      dataset: Dataset, freq: str, prediction_length: int
  ) -> QuantileForecasts:
      naive_predictor = Naive2Predictor(freq, prediction_length)
      return generate_forecasts(naive_predictor, dataset)[0]
  
file_path: gluonts/src/gluonts/nursery/tsbench/src/tsbench/forecasts/owa.py
imports: from pathlib import Path
  from typing import cast, Dict, Hashable, List, Tuple, TypeVar
  import numpy
  from gluonts.dataset.common import Dataset, MetaData
  from gluonts.model.naive_2 import Naive2Predictor
  from gluonts.time_feature.seasonality import get_seasonality
  from tsbench.config.dataset import DatasetSplit
  from .metrics import mase, naive_error, smape
  from .prediction import generate_forecasts
  from .quantile import QuantileForecasts
label_desc: Use image node_id 2 for calling a global function with example usage: _naive_2_forecasts(dataset, freq, prediction_length) and returns: generate_forecasts