code: def fill(array, l, val):
      result = array[:]
      for i in range(l - len(array)):
          result.append(val)
      return result
  
imports: import math
  import random
  import sys
  import numpy
  import tensorflow
  from .sentence_grouper import SentenceGrouper
  from ..tf2contrib import *
label_desc: Use image node_id 11 for calling the NerModel obj's underlying member method code with example usage: obj.fill(array, l, val) and returns: result