code: def test_debiasing_l1(bin_dense_train_data, warm_debiasing):
      bin_dense, bin_target = bin_dense_train_data
      clf = CDClassifier(
          penalty="l1",
          debiasing=True,
          warm_debiasing=warm_debiasing,
          C=0.05,
          Cd=1.0,
          max_iter=10,
          random_state=0,
      )
      clf.fit(bin_dense, bin_target)
      assert clf.n_nonzero() == 22
      np.testing.assert_almost_equal(
          clf.score(bin_dense, bin_target), 0.955, 3
      )
  
imports: import numpy
  import pytest
  from sklearn.datasets import load_digits
  from sklearn.preprocessing import LabelBinarizer
  from lightning.impl.primal_cd import CDClassifier, CDRegressor
  from lightning.impl.tests.utils import check_predict_proba
label_desc: Use image node_id 15 for calling a global function with example usage: test_debiasing_l1(bin_dense_train_data, warm_debiasing) without return types