code: def _verify_analytics_tuning_ranges(tuner_analytics):
      analytics_tuning_ranges = tuner_analytics.tuning_ranges
      assert len(analytics_tuning_ranges) == 2
  
      expected_tuning_ranges_fm = {
          key: value.as_tuning_range(key)
          for key, value in HYPER_PARAMETER_RANGES_FM.items()
      }
      assert (
          expected_tuning_ranges_fm
          == analytics_tuning_ranges[ESTIMATOR_FM]
      )
  
      expected_tuning_ranges_knn = {
          key: value.as_tuning_range(key)
          for key, value in HYPER_PARAMETER_RANGES_KNN.items()
      }
      assert (
          expected_tuning_ranges_knn
          == analytics_tuning_ranges[ESTIMATOR_KNN]
      )
  
imports: from __future__ import absolute_import
  import json
  import os
  import pytest
  from sagemaker import image_uris, utils
  from sagemaker.analytics import HyperparameterTuningJobAnalytics
  from sagemaker.deserializers import JSONDeserializer
  from sagemaker.estimator import Estimator
  from sagemaker.serializers import SimpleBaseSerializer
  from sagemaker.tuner import ContinuousParameter, IntegerParameter, HyperparameterTuner
  from tests.integ import datasets, DATA_DIR, TUNING_DEFAULT_TIMEOUT_MINUTES
  from tests.integ.timeout import timeout, timeout_and_delete_endpoint_by_name
label_desc: Use image node_id 9 for calling a global function with example usage: _verify_analytics_tuning_ranges(tuner_analytics) without return types