code: def train_test_data():
      data = np.load(splited_data_file)
      return (
          data["x_train"],
          data["x_test"],
          data["y_train"],
          data["y_test"],
      )
  
imports: import os
  import math
  import random
  import argparse
  import numpy
  from scipy.io import wavfile
label_desc: Use image node_id 1 for calling a global function with example usage: train_test_data() and returns: data,  data,  data,  data