code: def test_validate_after_removing_node_from_schema(
      get_validation_method: Callable[..., ValidationMethodType],
      nlu: bool,
      core: bool,
  ):
      # training
      schema1 = _get_example_schema(num_epochs=5)
      validate = get_validation_method(
          finetuning=False,
          load=False,
          nlu=nlu,
          core=core,
          graph_schema=schema1,
      )
      validate(importer=EmptyDataImporter())
  
      # change schema - remove a node
      schema2 = copy.deepcopy(schema1)
      schema2.nodes.pop(next(iter(schema2.nodes.keys())))
  
      # finetuning raises - doesn't matter if it's nlu/core/both
      loaded_validate = get_validation_method(
          finetuning=True,
          load=True,
          nlu=nlu,
          core=core,
          graph_schema=schema2,
      )
      with pytest.raises(InvalidConfigException):
          loaded_validate(importer=EmptyDataImporter())
  
imports: import os
  from pathlib import Path
  import copy
  from typing import Callable, List, Optional, Text, Dict, Any
  from _pytest.monkeypatch import MonkeyPatch
  import pytest
  from rasa.engine.graph import ExecutionContext, GraphComponent, GraphSchema, SchemaNode
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.graph_components.validators.finetuning_validator import FinetuningValidator
  from rasa.nlu.tokenizers.whitespace_tokenizer import WhitespaceTokenizer
  from rasa.core.policies.rule_policy import RulePolicy
  from rasa.shared.constants import DEFAULT_CONFIG_PATH, DEFAULT_DATA_PATH, DEFAULT_DOMAIN_PATH
  from rasa.shared.core.domain import KEY_RESPONSES, Domain
  from rasa.shared.importers.rasa import RasaFileImporter
  from rasa.shared.importers.importer import NluDataImporter, TrainingDataImporter
  import rasa.shared.utils.io
  from rasa.shared.exceptions import InvalidConfigException
  from rasa.shared.nlu.constants import ACTION_NAME, INTENT, TEXT
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.nlu.training_data.training_data import TrainingData
label_desc: Use image node_id 10 for calling a global function with example usage: test_validate_after_removing_node_from_schema(get_validation_method, nlu, core) without return types