code: def test_linear_svr_warm_start(reg_train_data, C, warm_start):
      reg_dense, reg_target = reg_train_data
      reg = LinearSVR(C=C, random_state=0, warm_start=warm_start)
      reg.fit(reg_dense, reg_target)
      target_score = 0.99 if C == 1 else 0.96
      assert reg.score(reg_dense, reg_target) > target_score
  
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 8 for calling a global function with example usage: test_linear_svr_warm_start(reg_train_data, C, warm_start) without return types