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
  
file_path: autogluon/core/tests/unittests/test_parallel_local_folding.py
imports: import math
  import time
  from unittest.mock import patch
  import numpy
  import pandas
  from autogluon.common import space
  from autogluon.common.utils.resource_utils import ResourceManager
  from autogluon.core.models import AbstractModel
  from autogluon.core.models.ensemble.bagged_ensemble_model import BaggedEnsembleModel
  from autogluon.core.models.ensemble.fold_fitting_strategy import ParallelLocalFoldFittingStrategy
  from autogluon.core.searcher import LocalRandomSearcher
label_desc: Use image node_id 1 for calling a global function with example usage: _prepare_data() and returns: X,  y