code: def test_get_model(
      expected: Union[float, dict, bool], load_mnist_model
  ):
      model = PyTorchModel(load_mnist_model, channel_first=True)
      out = model.get_model()
      assert isinstance(out, expected), "Test failed."
  
file_path: Quantus/tests/functions/test_pytorch_model.py
imports: from collections import OrderedDict
  from typing import Union
  import numpy
  import pytest
  import torch
  from pytest_lazyfixture import lazy_fixture
  from scipy.special import softmax
  from quantus.helpers.model.pytorch_model import PyTorchModel
label_desc: Use image node_id 5 for calling a global function with example usage: test_get_model(expected, load_mnist_model) without return types