code: def mocked_model():
      model = RawFormatModelSpace(None, None)
      with Evaluator.mock_runtime(model):
          yield model
  
imports: import pytest
  import pytorch_lightning
  import torch
  import torch.nn
  import torch.nn.functional
  from sklearn.datasets import load_diabetes
  from torch.utils.data import Dataset
  from torchvision import transforms
  from torchvision.datasets import MNIST
  import nni
  import nni.nas.evaluator.pytorch.lightning
  from nni.nas.evaluator import FunctionalEvaluator, Evaluator
  from nni.nas.space import RawFormatModelSpace
label_desc: Use image node_id 1 for calling a global function with example usage: mocked_model() without return types