class_docstr: Encoder class for saving and loading waveforms.
class_docstr_tok: ["Encoder","class","for","saving","and","loading","waveforms","."]
docstr: Transform a sequence of int ids into a wavform file.
  
  Args:
    ids: list of integers to be converted.
  
  Returns:
    Singleton list: path to the temporary file where the wavfile was saved.
docstr_tok: ["Transform","a","sequence","of","int","ids","into","a","wavform","file",".","Args",":","ids",":","list","of","integers","to","be","converted",".","Returns",":","Singleton","list",":","path","to","the","temporary","file","where","the","wavfile","was","saved","."]
code: def decode_list(self, ids):
      """Transform a sequence of int ids into a wavform file.
  
      Args:
        ids: list of integers to be converted.
  
      Returns:
        Singleton list: path to the temporary file where the wavfile was saved.
      """
      return [self.decode(ids)]
  
file_path: tensor2tensor/tensor2tensor/data_generators/audio_encoder.py
imports: import os
  from subprocess import call
  import tempfile
  import numpy
  from scipy.io import wavfile
label_desc: Use image node_id 5 for calling the AudioEncoder obj's underlying member method code with example usage: obj.decode_list(ids) and returns: list