code: def random_data():
      batch_size = 4
      x = np.random.random((batch_size, 28, 28, 3))
      y = tf.keras.utils.to_categorical(
          np.random.randint(2, size=batch_size), num_classes=2
      ).astype("uint8")
  
      return x, y
  
file_path: tf-explain/tests/conftest.py
imports: import shutil
  from pathlib import Path
  import numpy
  import pytest
  import tensorflow
label_desc: Use image node_id 4 for calling a global function with example usage: random_data() and returns: x,  y