code: def pad_with_value(array, length, pad_value):
      """Pad numpy array so that its first dimension is length.
  
      Args:
        array: A 2D numpy array.
        length: Desired length of the first dimension.
        pad_value: Value to pad with.
      Returns:
        array, padded to shape `[length, array.shape[1]]`.
      Raises:
        TooLongError: If the array is already longer than length.
      """
      if array.shape[0] > length:
          raise TooLongError
      return np.pad(
          array,
          ((0, length - array.shape[0]), (0, 0)),
          "constant",
          constant_values=pad_value,
      )
  
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 4 for calling a global function with example usage: pad_with_value(array, length, pad_value) and returns: np