code: def construct_representation_selector(
      representation_names,
      selection_strategy="multiweight",
      sample_freq=351,  # in number of steps
      update_freq=5,
  ):  # in number of epochs
      return STRATEGY_CLASSES[selection_strategy](
          representation_names, sample_freq, update_freq
      )
  
imports: import gin
  import tensorflow.compat.v2
label_desc: Use image node_id 2 for calling a global function with example usage: construct_representation_selector(representation_names, selection_strategy, sample_freq, update_freq) and returns: STRATEGY_CLASSES