code: def test_bias_clone():
      algo = Bias()
      algo.fit(simple_df)
  
      params = algo.get_params()
      assert sorted(params.keys()) == ["damping", "items", "users"]
  
      a2 = lku.clone(algo)
      assert a2 is not algo
      assert getattr(a2, "mean_", None) is None
      assert getattr(a2, "item_offsets_", None) is None
      assert getattr(a2, "user_offsets_", None) is None
  
imports: from lenskit.algorithms.bias import Bias
  from lenskit import util
  import logging
  import pickle
  import binpickle
  import pandas
  import numpy
  from pytest import approx, raises, mark
  from lenskit.util.test import ml_test
label_desc: Use image node_id 3 for calling a global function with example usage: test_bias_clone() without return types