code: def sequence_superset(true_seq, pred_seq):
      """
      Boolean return value indicates whether or predicted seq is a superset of target
      """
      true_seq = strip_whitespace(true_seq)
      pred_seq = strip_whitespace(pred_seq)
      return (
          pred_seq["start"] <= true_seq["start"]
          and pred_seq["end"] >= true_seq["end"]
      )
  
imports: import os
  import copy
  from functools import partial
  from collections import defaultdict, OrderedDict
  import numpy
  from sklearn.metrics import confusion_matrix
  from tensorflow.python.platform import gfile
  from tensorflow.python.summary import summary_iterator
  import tabulate
  from finetune.encoding.input_encoder import get_spacy
label_desc: Use image node_id 19 for calling a global function with example usage: sequence_superset(true_seq, pred_seq) and returns: unknown