new_contents: import unittest
  import nose.tools
  from sklearn import manifold, datasets
  
  from mia.coranking import trustworthiness, continuity, LCMC, coranking_matrix
  from mia.utils import *
  
  
  class CorankingTest(unittest.TestCase):
  
      def setUp(self):
          self._high_data, color \
              = datasets.samples_generator.make_swiss_roll(n_samples=300,
                                                           random_state=1)
  
          isomap = manifold.Isomap(n_neighbors=12, n_components=2)
          self._low_data = isomap.fit_transform(self._high_data)
  
      def test_coranking_matrix(self):
          Q = coranking_matrix(self._high_data, self._low_data)
  
          n, _ = self._high_data.shape
          nose.tools.assert_equal(Q.shape, (n-1, n-1))
  
      def test_trustworthiness(self):
          Q = coranking_matrix(self._high_data, self._low_data)
          t = trustworthiness(Q, 5)
          nose.tools.assert_true(isinstance(t, float))
          nose.tools.assert_almost_equal(t, 0.895582191)
  
      def test_continuity(self):
          Q = coranking_matrix(self._high_data, self._low_data)
          c = continuity(Q, 5)
          nose.tools.assert_true(isinstance(c, float))
          nose.tools.assert_almost_equal(c, 0.982385844)
  
          c2 = trustworthiness(Q, 5)
          nose.tools.assert_true(c, c2)
  
      def test_LCMC(self):
          Q = coranking_matrix(self._high_data, self._low_data)
          l = LCMC(Q, 5)
          nose.tools.assert_true(isinstance(l, float))
          nose.tools.assert_almost_equal(l, 0.474110925)
  
subject: Add test to source folder.