code: def _default_taxonomy_tests(
      self, data: Optional[Iterable[Tuple]], num_test_cases: int = 100
  ):
      template = _crossproduct(
          self.editor.template(
              {
                  "contexts": [
                      "{first_name} is {comp_pairs[0]} than {first_name1}.",
                      "{first_name1} is {comp_pairs[1]} than {first_name}.",
                  ],
                  "qas": [
                      (
                          "Who is {comp_pairs[1]}?",
                          "{first_name1}",
                      ),
                      (
                          "Who is {comp_pairs[0]}?",
                          "{first_name}",
                      ),
                  ],
              },
              remove_duplicates=True,
              nsamples=num_test_cases,
              save=True,
          )
      )
      test = MFT(
          **template,
          name="A is COMP than B. Who is antonym(COMP)? B",
          description='Eg. Context: "A is taller than B", Q: "Who is shorter?", A: "B"',
          capability="Taxonomy",
      )
      self.add_test(test)
  
imports: from typing import Optional, Iterable, Tuple, Union
  import itertools
  import numpy
  from checklist.editor import MunchWithAdd
  from checklist.test_suite import TestSuite
  from checklist.test_types import MFT
  from checklist.perturb import Perturb
  from allennlp.confidence_checks.task_checklists.task_suite import TaskSuite
  from allennlp.confidence_checks.task_checklists import utils
  from allennlp.predictors import Predictor
label_desc: Use image node_id 10 for calling the QuestionAnsweringSuite obj's underlying member method code with example usage: obj._default_taxonomy_tests(data, num_test_cases) without return types