class_docstr: Machine Comprehension API
class_docstr_tok: ["Machine","Comprehension","API"]
code: def get_paragraphs(self):
      ret = {
          "paragraphs": self.paragraphs(
              self.dev,
              [self.vocab_dict, self.vocab_rev],
              num_examples=5,
          ),
          "questions": self.questions(
              self.dev,
              [self.vocab_dict, self.vocab_rev],
              num_examples=5,
          ),
      }
      return ret
  
imports: from __future__ import division
  from __future__ import print_function
  import os
  import re
  import zipfile
  from os import makedirs
  from random import shuffle
  import numpy
  import tensorflow
  from nlp_architect import LIBRARY_OUT
  from nlp_architect.api.abstract_api import AbstractApi
  from nlp_architect.utils.generic import license_prompt
  from nlp_architect.utils.io import download_unlicensed_file
  from .matchlstm_ansptr import MatchLSTMAnswerPointer
  from .mrc_utils import create_squad_training, max_values_squad, get_data_array_squad
label_desc: Use image node_id 7 for calling the MachineComprehensionApi obj's underlying member method code with example usage: obj.get_paragraphs() and returns: ret