code: def data_nearest_neighbor_censored(self):
      kind = "nearest"
      time, status = self.time_and_event
  
      expected = self._create_expected()
      expected[0, 0] = -1
      expected[0, 1] = 1
      expected[1, 1] = -1
      expected[1, 2] = 1
      expected[2, 1] = -1
      expected[2, 3] = 1
      expected[3, 3] = -1
      expected[3, 4] = 1
      expected[4, 3] = -1
      expected[4, 5] = 1
  
      return time, status.astype(np.uint8), kind, expected, None
  
imports: import numpy
  from numpy.testing import assert_array_almost_equal, assert_array_equal
  import pytest
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.preprocessing import scale
  from sksurv.column import encode_categorical
  from sksurv.datasets import load_gbsg2
  from sksurv.exceptions import NoComparablePairException
  from sksurv.svm._minlip import create_difference_matrix
  from sksurv.svm.minlip import HingeLossSurvivalSVM, MinlipSurvivalAnalysis
  from sksurv.testing import FixtureParameterFactory, assert_cindex_almost_equal
  from sksurv.util import Surv
label_desc: Use image node_id 7 for calling the DifferenceMatrixToyDataCases obj's underlying member method code with example usage: obj.data_nearest_neighbor_censored() and returns: time,  status,  kind,  expected,  None