code: def _texts_process(self, texts):
      lod = [0]
      data = []
      for i, text in enumerate(texts):
          data += text["processed"]
          lod.append(len(text["processed"]) + lod[i])
      return np.array(data).astype("int64"), [lod], [lod[-1], 1]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import argparse
  import ast
  import json
  import math
  import os
  import numpy
  import six
  from paddle.inference import Config
  from paddle.inference import create_predictor
  from simnet_bow.processor import load_vocab
  from simnet_bow.processor import postprocess
  from simnet_bow.processor import preprocess
  import paddlehub
  from paddlehub.common.paddle_helper import add_vars_prefix
  from paddlehub.common.paddle_helper import get_variable_info
  from paddlehub.common.utils import sys_stdin_encoding
  from paddlehub.io.parser import txt_parser
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import runnable
  from paddlehub.module.module import serving
label_desc: Use image node_id 4 for calling the SimnetBow obj's underlying member method code with example usage: obj._texts_process(texts) and returns: np,  list,  list