code: def test_predict_next_with_tracker_full_model(
      trained_rasa_model: Text,
  ):
      processor = Agent.load(model_path=trained_rasa_model).processor
      tracker = DialogueStateTracker("some_id", [])
      tracker.followup_action = None
      result = processor.predict_next_with_tracker(tracker)
      assert result["policy"] == "MemoizationPolicy"
  
imports: import asyncio
  import datetime
  from http import HTTPStatus
  import os.path
  import shutil
  import textwrap
  from pathlib import Path
  import freezegun
  import pytest
  from unittest.mock import MagicMock
  from rasa.plugin import plugin_manager
  import time
  import uuid
  import json
  from _pytest.monkeypatch import MonkeyPatch
  from _pytest.logging import LogCaptureFixture
  from aioresponses import aioresponses
  from typing import Optional, Text, List, Callable, Type, Any
  from unittest import mock
  from rasa.core.lock_store import InMemoryLockStore
  from rasa.core.policies.ensemble import DefaultPolicyPredictionEnsemble
  from rasa.core.tracker_store import InMemoryTrackerStore
  import rasa.shared.utils.io
  from rasa.core.actions.action import ActionBotResponse, ActionListen, ActionExecutionRejection, ActionSendText, ActionUnlikelyIntent
  from rasa.core.nlg import NaturalLanguageGenerator, TemplatedNaturalLanguageGenerator
  from rasa.core.policies.policy import PolicyPrediction
  from tests.conftest import with_assistant_id, with_assistant_ids, with_model_id, with_model_ids
  import tests.utilities
  from rasa.core import jobs
  from rasa.core.agent import Agent, load_agent
  from rasa.core.channels.channel import CollectingOutputChannel, UserMessage, OutputChannel
  from rasa.engine.graph import ExecutionContext
  from rasa.engine.storage.storage import ModelStorage
  from rasa.exceptions import ActionLimitReached
  from rasa.nlu.tokenizers.whitespace_tokenizer import WhitespaceTokenizer
  from rasa.shared.constants import ASSISTANT_ID_KEY, LATEST_TRAINING_DATA_FORMAT_VERSION
  from rasa.shared.core.domain import SessionConfig, Domain, KEY_ACTIONS
  from rasa.shared.core.events import ActionExecuted, ActiveLoop, BotUttered, ReminderCancelled, ReminderScheduled, Restarted, UserUttered, SessionStarted, Event, SlotSet, DefinePrevUserUtteredFeaturization, ActionExecutionRejected, LoopInterrupted
  from rasa.core.http_interpreter import RasaNLUHttpInterpreter
  from rasa.core.processor import MessageProcessor
  from rasa.shared.core.trackers import DialogueStateTracker
  from rasa.shared.nlu.constants import INTENT_NAME_KEY, METADATA_MODEL_ID
  from rasa.shared.nlu.training_data.message import Message
  from rasa.utils.endpoints import EndpointConfig
  from rasa.shared.core.constants import ACTION_EXTRACT_SLOTS, ACTION_RESTART_NAME, ACTION_SEND_TEXT_NAME, ACTION_UNLIKELY_INTENT_NAME, DEFAULT_INTENTS, ACTION_LISTEN_NAME, ACTION_SESSION_START_NAME, EXTERNAL_MESSAGE_PREFIX, IS_EXTERNAL, SESSION_START_METADATA_SLOT
  import logging
label_desc: Use image node_id 4 for calling a global function with example usage: test_predict_next_with_tracker_full_model(trained_rasa_model) without return types