code: def randX(batch_size, N):
      return np.random.rand(batch_size, N)
  
file_path: hls4ml/test/pytest/test_keras_nested_model.py
imports: from pathlib import Path
  import numpy
  import pytest
  from tensorflow.keras.layers import Dense, Input
  from tensorflow.keras.models import Model, Sequential
  import hls4ml
label_desc: Use image node_id 3 for calling a global function with example usage: randX(batch_size, N) and returns: np