code: def setup_avocado() -> Context:
      train, test = avocado.load_data()
      model = avocado.load_fitted_model()
      context = Context(train, test, model)
      context.feature_importance  # calculating here to avoid first check being slower
      return context
  
file_path: deepchecks/benchmarks/tabular_bench.py
imports: import inspect
  from typing import Callable
  from deepchecks.core import DatasetKind
  from deepchecks.core.errors import DeepchecksBaseError
  from deepchecks.tabular import Context, SingleDatasetCheck, checks
  from deepchecks.tabular.datasets.classification import lending_club
  from deepchecks.tabular.datasets.regression import avocado
label_desc: Use image node_id 3 for calling a global function with example usage: setup_avocado() and returns: context