code: def _get_query_strategy(self):
      return SubsamplingQueryStrategy(
          LeastConfidence(), subsample_size=10
      )
  
imports: import unittest
  import pytest
  import numpy
  from unittest.mock import Mock, patch
  from numpy.testing import assert_array_equal
  from sklearn.base import clone
  from sklearn.preprocessing import normalize
  from small_text.query_strategies.exceptions import EmptyPoolException
  from small_text.classifiers import ConfidenceEnhancedLinearSVC, SklearnClassifierFactory
  from small_text.query_strategies import BreakingTies, CategoryVectorInconsistencyAndRanking, ContrastiveActiveLearning, DiscriminativeActiveLearning, EmbeddingKMeans, GreedyCoreset, LeastConfidence, LightweightCoreset, SEALS, SubsamplingQueryStrategy
  from tests.unit.small_text.query_strategies.test_strategies import SamplingStrategiesTests, SklearnClassifierWithRandomEmbeddingsAndProba
  from tests.utils.datasets import random_sklearn_dataset, random_matrix_data
  from tests.utils.object_factory import get_initialized_active_learner
label_desc: Use image node_id 2 for calling the SubsamplingQueryStrategyTest obj's underlying member method code with example usage: obj._get_query_strategy() and returns: SubsamplingQueryStrategy