code: def pad_with_element(nested_list, max_lengths, element):
      """Pads a nested list of elements up to `max_lengths`.
  
      For example, `pad_with_element([[0, 1, 2], [3, 4]], [3, 4], 5)` produces
      `[[0, 1, 2, 5], [3, 4, 5, 5], [5, 5, 5, 5]]`.
  
      Args:
        nested_list: A (potentially nested) list.
        max_lengths: The maximum length at each level of the nested list to pad to.
        element: The element to pad with at the lowest level. If an object, a copy
          is not made, and the same instance will be used multiple times.
  
      Returns:
        `nested_list`, padded up to `max_lengths` with `element`.
  
      Raises:
        TooLongError: If any of the nested lists are already longer than the
          maximum length at that level given by `max_lengths`.
      """
      if not max_lengths:
          return nested_list
  
      max_length = max_lengths[0]
      delta = max_length - len(nested_list)
      if delta < 0:
          raise TooLongError
  
      if len(max_lengths) == 1:
          return nested_list + [element] * delta
      else:
          return [
              pad_with_element(l, max_lengths[1:], element)
              for l in nested_list + [[] for _ in range(delta)]
          ]
  
imports: import abc
  import random
  from magenta.models.music_vae import data
  from magenta.pipelines import performance_pipeline
  import note_seq
  from note_seq import chords_lib
  from note_seq import performance_lib
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling a global function with example usage: pad_with_element(nested_list, max_lengths, element) and returns: nested_list, unknown, unknown