code: def test_raises_wrong_flows(self):
      with pytest.raises(ValidationError):
          conf = VAE_LinNF_Config(
              input_dim=(1, 28),
              latent_dim=5,
              flows=["Planar", "WrongFlow"],
          )
  
imports: import os
  from copy import deepcopy
  import pytest
  import torch
  from pydantic import ValidationError
  from pythae.customexception import BadInheritanceError
  from pythae.models import AutoModel, VAE_LinNF, VAE_LinNF_Config
  from pythae.models.base.base_utils import ModelOutput
  from pythae.pipelines import GenerationPipeline, TrainingPipeline
  from pythae.samplers import GaussianMixtureSamplerConfig, IAFSamplerConfig, MAFSamplerConfig, NormalSamplerConfig, TwoStageVAESamplerConfig
  from pythae.trainers import BaseTrainer, BaseTrainerConfig
  from tests.data.custom_architectures import Decoder_AE_Conv, Encoder_VAE_Conv, NetBadInheritance
label_desc: Use image node_id 2 for calling the Test_Model_Building obj's underlying member method code with example usage: obj.test_raises_wrong_flows() without return types