code: def test_predict():
      class SomeModel(Model):
          def _predict(self, item):
              return item
  
      m = SomeModel()
      assert m.predict({}) == {}
  
      class SomeModelBatch(Model):
          def _predict_batch(self, items):
              return items
  
      m = SomeModelBatch()
      assert m.predict({}) == {}
  
imports: import asyncio
  import os
  import pytest
  from modelkit.assets.errors import AssetDoesNotExistError, InvalidAssetSpecError
  from modelkit.core import errors
  from modelkit.core.library import ConfigurationNotFoundException, ModelLibrary, download_assets, load_model
  from modelkit.core.model import Asset, AsyncModel, Model
  from modelkit.core.model_configuration import ModelConfiguration, _configurations_from_objects, configure, list_assets
  from modelkit.core.settings import LibrarySettings
  from tests import TEST_DIR, testmodels
  from tests.assets.test_versioning import test_versioning
label_desc: Use image node_id 1 for calling a global function with example usage: test_predict() and returns: item, items