code: def query(
      self, clf, dataset, indices_unlabeled, indices_labeled, y, n=10
  ):
      return super().query(
          clf, dataset, indices_unlabeled, indices_labeled, y, n=n
      )
  
imports: import unittest
  import scipy
  import numpy
  from small_text.classifiers.classification import SklearnClassifier, ConfidenceEnhancedLinearSVC
  from small_text.query_strategies.base import ClassificationType, constraints
  from small_text.query_strategies.strategies import RandomSampling
  from tests.utils.datasets import random_sklearn_dataset
label_desc: Use image node_id 1 for calling the FakeMultiLabelQueryStrategy obj's underlying member method code with example usage: obj.query(clf, dataset, indices_unlabeled, indices_labeled, y, n) and returns: super