code: def train_with_schema(
      default_model_storage: ModelStorage,
      temp_cache: TrainingCache,
      tmp_path: Path,
      tmp_path_factory: TempPathFactory,
      local_cache_creator: Callable,
      domain_path: Path,
  ):
      def inner(
          train_schema: GraphSchema,
          cache: Optional[TrainingCache] = None,
          model_storage: Optional[ModelStorage] = None,
          path: Optional[Path] = None,
          force_retraining: bool = False,
      ) -> Path:
          if not path:
              path = tmp_path_factory.mktemp("model_storage_path")
          if not model_storage:
              model_storage = LocalModelStorage.create(path)
          if not cache:
              cache = local_cache_creator(path)
  
          graph_trainer = GraphTrainer(
              model_storage=model_storage,
              cache=cache,
              graph_runner_class=DaskGraphRunner,
          )
  
          output_filename = path / "model.tar.gz"
          graph_trainer.train(
              GraphModelConfiguration(
                  train_schema=train_schema,
                  predict_schema=GraphSchema({}),
                  assistant_id="test_assistant",
                  language=None,
                  core_target=None,
                  nlu_target="nlu",
                  training_type=TrainingType.BOTH,
              ),
              importer=TrainingDataImporter.load_from_dict(
                  domain_path=str(domain_path)
              ),
              output_filename=output_filename,
              force_retraining=force_retraining,
          )
  
          assert output_filename.is_file()
          return output_filename
  
      return inner
  
imports: import logging
  from pathlib import Path
  from typing import Callable, Dict, Optional, Text, Type, Any
  from unittest.mock import Mock
  from _pytest.logging import LogCaptureFixture
  from _pytest.monkeypatch import MonkeyPatch
  from _pytest.tmpdir import TempPathFactory
  import pytest
  from rasa.engine.caching import LocalTrainingCache, TrainingCache
  from rasa.engine.exceptions import GraphComponentException
  from rasa.engine.graph import GraphComponent, GraphSchema, SchemaNode, GraphModelConfiguration, GraphNode, ExecutionContext, GraphNodeHook
  from rasa.engine.runner.dask import DaskGraphRunner
  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.engine.training.graph_trainer import GraphTrainer
  from rasa.shared.core.domain import Domain
  from rasa.shared.data import TrainingType
  from rasa.shared.importers.importer import TrainingDataImporter
  from tests.engine.graph_components_test_classes import AddInputs, AssertComponent, FileReader, PersistableTestComponent, ProvideX, SubtractByX, CacheableComponent
label_desc: Use image node_id 6 for calling a global function with example usage: train_with_schema(default_model_storage, temp_cache, tmp_path, tmp_path_factory, local_cache_creator, domain_path) and returns: inner, output_filename