code: def load_ts_models(load_setup):
      """Load all time series module models"""
      exp = load_setup
      model_containers = get_all_model_containers(exp)
  
      from time_series_test_utils import (  # TODO Put it back once preprocessing supports series as X
          _BLEND_TEST_MODELS,
      )
  
      ts_estimators = [
          exp.create_model(key)
          for key in model_containers.keys()
          if key in _BLEND_TEST_MODELS
      ]
  
      return ts_estimators
  
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 13 for calling a global function with example usage: load_ts_models(load_setup) and returns: ts_estimators