class_docstr: Convert between performance event indices and (filenames of) MIDI files.
class_docstr_tok: ["Convert","between","performance","event","indices","and","(","filenames","of",")","MIDI","files","."]
docstr: Transform a sequence of event indices into a performance MIDI file.
  
  Args:
    ids: List of performance event indices.
  
  Returns:
    Single-element list containing path to the temporary file where the MIDI
    was saved.
code: def decode_list(self, ids):
      """Transform a sequence of event indices into a performance MIDI file.
  
      Args:
        ids: List of performance event indices.
  
      Returns:
        Single-element list containing path to the temporary file where the MIDI
        was saved.
      """
      return [self.decode(ids)]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tempfile
  import note_seq
  from note_seq import performance_lib
  import pygtrie
  from tensor2tensor.data_generators import text_encoder
label_desc: Use image node_id 7 for calling the MidiPerformanceEncoder obj's underlying member method code with example usage: obj.decode_list(ids) and returns: list