code: def decoder(event_list, transpose_amount):
      """Translates a sequence generated by RLTuner to MonophonicMelody form.
  
      Args:
        event_list: Integer list of encoded notes.
        transpose_amount: Key to transpose to.
      Returns:
        Integer list of MIDI values.
      """
  
      def _decode_event(e):
          if e < NUM_SPECIAL_EVENTS:
              return e - NUM_SPECIAL_EVENTS
          else:
              return e + INITIAL_MIDI_VALUE - transpose_amount
  
      return [_decode_event(e) for e in event_list]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import random
  from magenta.contrib import training
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 8 for calling a global function with example usage: decoder(event_list, transpose_amount) and returns: unknown, unknown, unknown