code: def test_test(tmpdir):
      """Tests that the model can be tested on our ``DummyDataset``."""
      model = TemplateSKLearnClassifier(
          num_features=DummyDataset.num_features,
          num_classes=DummyDataset.num_classes,
      )
      test_dl = torch.utils.data.DataLoader(
          DummyDataset(), batch_size=4
      )
      trainer = Trainer(default_root_dir=tmpdir, fast_dev_run=True)
      trainer.test(model, test_dl)
  
imports: import os
  import numpy
  import pytest
  import torch
  from flash import Trainer
  from flash.core.data.io.input import DataKeys
  from flash.core.utilities.imports import _SKLEARN_AVAILABLE, _TOPIC_CORE_AVAILABLE
  from flash.template import TemplateSKLearnClassifier
  from flash.template.classification.data import TemplateData
  from torch import Tensor
label_desc: Use image node_id 5 for calling a global function with example usage: test_test(tmpdir) without return types