code: def interleave_keys(keys):
      r"""Interleave bits from two sort keys to form a joint sort key.
  
      Examples that are similar in both of the provided keys will have similar
      values for the key defined by this function. Useful for tasks with two
      text fields like machine translation or natural language inference.
      """
  
      def interleave(args):
          return "".join([x for t in zip(*args) for x in t])
  
      return int(
          "".join(interleave(format(x, "016b") for x in keys)), base=2
      )
  
imports: from __future__ import division
  import copy
  import logging
  import os
  import pdb
  from collections import Counter, defaultdict
  from timeit import default_timer
  import pandas
  import pyprind
  import six
  from sklearn.decomposition import TruncatedSVD
  import torch
  import torch.nn
  from torchtext.legacy import data
  from torchtext.legacy.data.example import Example
  from torchtext.utils import unicode_csv_reader
  from ..models.modules import NoMeta, Pool
  from .field import MatchingField
  from .iterator import MatchingIterator
label_desc: Use image node_id 2 for calling a global function with example usage: interleave_keys(keys) and returns: int, str