code: def test_finetune_after_load(
      self,
      trained_policy: MemoizationPolicy,
      resource: Resource,
      model_storage: ModelStorage,
      execution_context: ExecutionContext,
      default_domain: Domain,
      stories_path: Text,
  ):
      execution_context = dataclasses.replace(
          execution_context, is_finetuning=True
      )
      loaded_policy = MemoizationPolicy.load(
          trained_policy.config,
          model_storage,
          resource,
          execution_context,
      )
  
      assert loaded_policy.finetune_mode
  
      new_story = TrackerWithCachedStates.from_events(
          "channel",
          domain=default_domain,
          slots=default_domain.slots,
          evts=[
              ActionExecuted(ACTION_LISTEN_NAME),
              UserUttered(intent={"name": "why"}),
              ActionExecuted("utter_channel"),
              ActionExecuted(ACTION_LISTEN_NAME),
          ],
      )
      original_train_data = train_trackers(
          default_domain, stories_path, augmentation_factor=20
      )
  
      loaded_policy.train(
          original_train_data + [new_story], default_domain
      )
  
      # Get the hash of the tracker state of new story
      (
          new_story_states,
          _,
      ) = loaded_policy.featurizer.training_states_and_labels(
          [new_story], default_domain
      )
  
      # Feature keys for each new state should be present in the lookup
      for states in new_story_states:
          state_key = loaded_policy._create_feature_key(states)
          assert state_key in loaded_policy.lookup
  
imports: import uuid
  from pathlib import Path
  from typing import Type, List, Text, Optional, Dict, Any
  import dataclasses
  import numpy
  import pytest
  from _pytest.tmpdir import TempPathFactory
  from rasa.engine.graph import ExecutionContext, GraphSchema
  from rasa.engine.storage.local_model_storage import LocalModelStorage
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.shared.constants import DEFAULT_SENDER_ID
  from rasa.shared.core.constants import ACTION_LISTEN_NAME, ACTION_UNLIKELY_INTENT_NAME
  from rasa.shared.core.domain import Domain
  from rasa.shared.core.events import ActionExecuted, Event, UserUttered, EntitiesAdded, SlotSet
  from rasa.core import training
  from rasa.core.constants import POLICY_MAX_HISTORY
  from rasa.core.featurizers.tracker_featurizers import TrackerFeaturizer, MaxHistoryTrackerFeaturizer, IntentMaxHistoryTrackerFeaturizer
  from rasa.core.featurizers.single_state_featurizer import SingleStateFeaturizer, IntentTokenizerSingleStateFeaturizer
  from rasa.core.policies.policy import SupportedData, InvalidPolicyConfig, Policy
  from rasa.core.policies.rule_policy import RulePolicy
  from rasa.core.policies.ted_policy import TEDPolicy
  from rasa.core.policies.memoization import AugmentedMemoizationPolicy, MemoizationPolicy
  from rasa.shared.core.trackers import DialogueStateTracker
  from rasa.shared.core.generator import TrackerWithCachedStates
  from tests.dialogues import TEST_DEFAULT_DIALOGUE
  from tests.core.utilities import get_tracker, tracker_from_dialogue
label_desc: Use image node_id 6 for calling the TestMemoizationPolicy obj's underlying member method code with example usage: obj.test_finetune_after_load(trained_policy, resource, model_storage, execution_context, default_domain, stories_path) without return types