code: def _prepare_data():
      # prepare an all numeric data so that we don't need to clean labels and features
      data = [[1, 10], [2, 20], [3, 30]]
      df = pd.DataFrame(data, columns=["Number", "Age"])
      label = "Age"
      X = df.drop(columns=[label])
      y = df[label]
      return X, y
  
imports: import time
  import numpy
  import pandas
  import pytest
  from autogluon.core.hpo.executors import CustomHpoExecutor, RayHpoExecutor
  from autogluon.core.models.ensemble.bagged_ensemble_model import BaggedEnsembleModel
  from autogluon.core.models.ensemble.fold_fitting_strategy import ParallelLocalFoldFittingStrategy, SequentialLocalFoldFittingStrategy
  from autogluon.tabular.models import AbstractModel
label_desc: Use image node_id 2 for calling a global function with example usage: _prepare_data() and returns: X,  y