old_contents: """OVK learning, unit tests.
  
  The :mod:`sklearn.tests.test_semisuo` tests semisup module.
  """
  
  import operalib as ovk
  import numpy as np
  
  
  def test_semisup_linop():
      """Test ovk.semisup.SemisupLinop."""
      np.random.seed()
  
      n = 100
      p = 5
      lbda2 = .1
  
      # supervised indices
      B = np.random.randint(2, size=(n), dtype=np.bool)
  
      # Graph Laplcian
      n_unsup = np.sum(~B)
      L = np.random.randn(n_unsup, n_unsup)
      L = np.dot(L, L.T)
  
      U, J = ovk.ridge._SemisupLinop(lbda2, B, L, p).gen()
  
      y = np.random.randn(n, p)
      # lbda2 * np.dot(L, y[~B, :]).ravel()
      # print(np.concatenate((y[B, :].ravel(),
      #                       lbda2 * np.dot(L, y[~B, :]).ravel())))
  
      res = np.empty((n, p))
      res[B, :] = y[B, :]
      res[~B] = 0
      assert np.allclose(J * y.ravel(), res.ravel())
  
      res = np.empty((n, p))
      res[B, :] = y[B, :]
      res[~B] = lbda2 * np.dot(L, y[~B, :])
      assert np.allclose(U * y.ravel(), res.ravel())
  
new_contents: """OVK learning, unit tests.
  
  The :mod:`sklearn.tests.test_semisuo` tests semisup module.
  """
  
  import operalib as ovk
  import numpy as np
  
  
  def test_semisup_linop():
      """Test ovk.semisup.SemisupLinop."""
      np.random.seed()
  
      n = 100
      p = 5
      lbda2 = .1
  
      # supervised indices
      B = np.random.randint(2, size=(n)).astype(np.bool)
  
      # Graph Laplcian
      n_unsup = np.sum(~B)
      L = np.random.randn(n_unsup, n_unsup)
      L = np.dot(L, L.T)
  
      U, J = ovk.ridge._SemisupLinop(lbda2, B, L, p).gen()
  
      y = np.random.randn(n, p)
      # lbda2 * np.dot(L, y[~B, :]).ravel()
      # print(np.concatenate((y[B, :].ravel(),
      #                       lbda2 * np.dot(L, y[~B, :]).ravel())))
  
      res = np.empty((n, p))
      res[B, :] = y[B, :]
      res[~B] = 0
      assert np.allclose(J * y.ravel(), res.ravel())
  
      res = np.empty((n, p))
      res[B, :] = y[B, :]
      res[~B] = lbda2 * np.dot(L, y[~B, :])
      assert np.allclose(U * y.ravel(), res.ravel())
  
subject: Fix type error in test for python 2.7