code: def _random_vector(min, max, prng=DEFAULT_PRNG):
      """Construct a random vector between min and max.
      Args
          min: the minimum value for each component
          max: the maximum value for each component
      """
      min = np.array(min)
      max = np.array(max)
      assert min.shape == max.shape
      assert len(min.shape) == 1
      return prng.uniform(min, max)
  
file_path: ImageAI/imageai_tf_deprecated/Detection/keras_retinanet/utils/transform.py
imports: import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: _random_vector(min, max, prng) and returns: prng