code: def test_transform_user_without_user_bias():
      user = 12
      algo = Bias()
      algo.fit(simple_df)
  
      new_ratings = pd.Series(
          [-0.5, 1.5], index=[2, 3]
      )  # items as index and ratings as values
  
      v = algo.inverse_transform_user(user, new_ratings)
  
      assert (
          v[2]
          == new_ratings[2]
          + algo.user_offsets_.loc[user]
          + algo.item_offsets_.loc[2]
          + algo.mean_
      )
      assert (
          v[3]
          == new_ratings[3]
          + algo.user_offsets_.loc[user]
          + algo.item_offsets_.loc[3]
          + algo.mean_
      )
  
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 23 for calling a global function with example usage: test_transform_user_without_user_bias() without return types