code: def get_holdout(data, target_column):
      return train_test_split(
          data, test_size=0.33, random_state=1, shuffle=False
      )
  
file_path: hyperparameter_hunter/tests/integration_tests/test_data_wranglers.py
imports: from hyperparameter_hunter import Environment, CVExperiment, FeatureEngineer
  from hyperparameter_hunter.callbacks.recipes import lambda_check_train_targets
  from hyperparameter_hunter.data.data_chunks.target_chunks import TrainTargetChunk
  from copy import deepcopy
  import pandas
  import pytest
  from sklearn.metrics import f1_score
  from sklearn.model_selection import train_test_split
  from sklearn.preprocessing import LabelEncoder
  from sklearn.svm import SVC
label_desc: Use image node_id 2 for calling a global function with example usage: get_holdout(data, target_column) and returns: train_test_split