code: def test_warm_start(bin_dense_train_data, C):
      bin_dense, bin_target = bin_dense_train_data
      clf = LinearSVC(
          warm_start=True, loss="l1", random_state=0, max_iter=100
      )
      clf.C = C
      clf.fit(bin_dense, bin_target)
      acc = clf.score(bin_dense, bin_target)
      assert acc > 0.99
  
file_path: lightning/lightning/impl/tests/test_dual_cd.py
imports: import numpy
  import pytest
  from sklearn.metrics.pairwise import linear_kernel
  from sklearn.datasets import make_regression
  from lightning.impl.dual_cd import LinearSVC
  from lightning.impl.dual_cd import LinearSVR
  from lightning.impl.dual_cd_fast import sparse_dot
  from lightning.impl.dataset_fast import get_dataset
label_desc: Use image node_id 6 for calling a global function with example usage: test_warm_start(bin_dense_train_data, C) without return types