code: def test_contiguous_get_row(test_data):
      X = test_data["X"]
      cds = test_data["contiguous_dataset"]
      ind = np.arange(X.shape[1])
      for i in range(X.shape[0]):
          indices, data, n_nz = cds.get_row(i)
          np.testing.assert_array_equal(indices, ind)
          np.testing.assert_array_equal(data, X[i])
          assert n_nz == X.shape[1]
  
file_path: lightning/lightning/impl/tests/test_dataset.py
imports: import pickle
  import numpy
  import pytest
  import scipy.sparse
  from sklearn.datasets import make_classification
  from sklearn.utils import check_random_state
  from lightning.impl.dataset_fast import ContiguousDataset
  from lightning.impl.dataset_fast import FortranDataset
  from lightning.impl.dataset_fast import CSRDataset
  from lightning.impl.dataset_fast import CSCDataset
label_desc: Use image node_id 2 for calling a global function with example usage: test_contiguous_get_row(test_data) without return types