code: def reg_train_data():
      reg_dense, reg_target = make_regression(
          n_samples=200, n_features=100, n_informative=5, random_state=0
      )
      return reg_dense, reg_target
  
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 1 for calling a global function with example usage: reg_train_data() and returns: reg_dense,  reg_target