code: def reset_experiments():
      yield
      pycaret.classification.functional._CURRENT_EXPERIMENT = None
      pycaret.regression.functional._CURRENT_EXPERIMENT = None
      pycaret.anomaly.functional._CURRENT_EXPERIMENT = None
      pycaret.clustering.functional._CURRENT_EXPERIMENT = None
      pycaret.time_series.forecasting.functional._CURRENT_EXPERIMENT = (
          None
      )
  
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 2 for calling a global function with example usage: reset_experiments() without return types