code: def data():
      X = np.random.normal(0, 1, (1000, 10))
      X = np.clip(X, -16, 15)
      return X
  
file_path: hls4ml/test/pytest/test_stream_multi_clone.py
imports: from pathlib import Path
  import numpy
  import pytest
  from keras.layers import Add, Dense
  from tensorflow import keras
  from hls4ml.converters import convert_from_keras_model
label_desc: Use image node_id 2 for calling a global function with example usage: data() and returns: X