code: def load_setup(load_pos_and_neg_data):
      """Create a TSForecastingExperiment to test module functionalities"""
      exp = TSForecastingExperiment()
  
      fh = np.arange(1, 13)
      fold = 2
  
      return exp.setup(
          data=load_pos_and_neg_data,
          fh=fh,
          fold=fold,
          fold_strategy="sliding",
          verbose=False,
          session_id=42,
      )
  
imports: import numpy
  import pytest
  import pycaret.anomaly.functional
  import pycaret.classification.functional
  import pycaret.clustering.functional
  import pycaret.regression.functional
  import pycaret.time_series.forecasting.functional
  from pycaret.containers.models.time_series import get_all_model_containers
  from pycaret.datasets import get_data
  from pycaret.time_series import TSForecastingExperiment
label_desc: Use image node_id 12 for calling a global function with example usage: load_setup(load_pos_and_neg_data) and returns: exp