code: def no_answer_inference_result(bert_base_squad2, caplog=None):
      if caplog:
          caplog.set_level(logging.CRITICAL)
      obj_input = [
          QAInput(
              doc_text='The majority of the forest is contained within Brazil, with 60% of the rainforest, followed by Peru with 13%, Colombia with 10%, and with minor amounts in Venezuela, Ecuador, Bolivia, Guyana, Suriname and French Guiana. States or departments in four nations contain "Amazonas" in their names. The Amazon represents over half of the planet\'s remaining rainforests, and comprises the largest and most biodiverse tract of tropical rainforest in the world, with an estimated 390 billion individual trees divided into 16,000 species.',
              questions=Question(
                  "The Amazon represents less than half of the planets remaining what?",
                  uid="best_id_ever",
              ),
          )
      ]
      result = bert_base_squad2.inference_from_objects(
          obj_input, return_json=False
      )[0]
      return result
  
imports: import logging
  from pathlib import Path
  import pytest
  from math import isclose
  import numpy
  from farm.data_handler.processor import SquadProcessor
  from farm.modeling.adaptive_model import AdaptiveModel
  from farm.infer import QAInferencer
  from farm.data_handler.inputs import QAInput, Question
label_desc: Use image node_id 6 for calling a global function with example usage: no_answer_inference_result(bert_base_squad2, caplog) and returns: result