code: def test_raises_missing_files(
      self, tmpdir, model_configs, custom_encoder, custom_decoder
  ):
      tmpdir.mkdir("dummy_folder")
      dir_path = dir_path = os.path.join(tmpdir, "dummy_folder")
  
      model = PIWAE(
          model_configs, encoder=custom_encoder, decoder=custom_decoder
      )
  
      model.state_dict()["encoder.layers.0.0.weight"][0] = 0
  
      model.save(dir_path=dir_path)
  
      os.remove(os.path.join(dir_path, "decoder.pkl"))
  
      # check raises decoder.pkl is missing
      with pytest.raises(FileNotFoundError):
          model_rec = AutoModel.load_from_folder(dir_path)
  
      os.remove(os.path.join(dir_path, "encoder.pkl"))
  
      # check raises encoder.pkl is missing
      with pytest.raises(FileNotFoundError):
          model_rec = AutoModel.load_from_folder(dir_path)
  
      os.remove(os.path.join(dir_path, "model.pt"))
  
      # check raises encoder.pkl is missing
      with pytest.raises(FileNotFoundError):
          model_rec = AutoModel.load_from_folder(dir_path)
  
      os.remove(os.path.join(dir_path, "model_config.json"))
  
      # check raises encoder.pkl is missing
      with pytest.raises(FileNotFoundError):
          model_rec = AutoModel.load_from_folder(dir_path)
  
imports: import os
  from copy import deepcopy
  import pytest
  import torch
  from pythae.customexception import BadInheritanceError
  from pythae.models import PIWAE, AutoModel, PIWAEConfig
  from pythae.models.base.base_utils import ModelOutput
  from pythae.pipelines import GenerationPipeline, TrainingPipeline
  from pythae.samplers import GaussianMixtureSamplerConfig, IAFSamplerConfig, MAFSamplerConfig, NormalSamplerConfig
  from pythae.trainers import BaseTrainerConfig, CoupledOptimizerTrainer, CoupledOptimizerTrainerConfig
  from tests.data.custom_architectures import Decoder_AE_Conv, Encoder_VAE_Conv, NetBadInheritance
label_desc: Use image node_id 5 for calling the Test_Model_Saving obj's underlying member method code with example usage: obj.test_raises_missing_files(tmpdir, model_configs, custom_encoder, custom_decoder) without return types