old_contents: """ Test functions for linalg module
  """
  
  from numpy.testing import *
  set_package_path()
  from numpy import linalg, arange, float64, array
  restore_path()
  
  rlevel = 1
  
  class TestRegression(NumpyTestCase):
      def test_eig_build(self, level = rlevel):
          """Ticket #652"""
          rva = [1.03221168e+02 +0.j, 
                 -1.91843603e+01 +0.j,
                 -6.04004526e-01+15.84422474j, 
                 -6.04004526e-01-15.84422474j,
                 -1.13692929e+01 +0.j,
                 -6.57612485e-01+10.41755503j,
                 -6.57612485e-01-10.41755503j,
                 1.82126812e+01 +0.j,
                 1.06011014e+01 +0.j ,
                 7.80732773e+00 +0.j ,
                 -7.65390898e-01 +0.j,
                 1.51971555e-15 +0.j ,
                 -1.51308713e-15 +0.j]        
          a = arange(13*13, dtype = float64)
          a.shape = (13,13)
          a = a%17
          va, ve = linalg.eig(a)
          assert_array_almost_equal(va, rva)
  
      def test_eigh_build(self, level = rlevel):
          """Ticket 662."""
          rvals = [68.60568999, 89.57756725, 106.67185574]
  
          cov = array([[ 77.70273908,   3.51489954,  15.64602427],
                       [3.51489954,  88.97013878,  -1.07431931],
                       [15.64602427,  -1.07431931,  98.18223512]])
           
          vals, vecs = linalg.eigh(cov)
          assert_array_almost_equal(vals, rvals)
  
  if __name__ == '__main__':
      NumpyTest().run()
  
new_contents: """ Test functions for linalg module
  """
  
  from numpy.testing import *
  set_package_path()
  import numpy as np
  from numpy import linalg, arange, float64, array, dot, transpose
  restore_path()
  
  rlevel = 1
  
  class TestRegression(NumpyTestCase):
      def test_eig_build(self, level = rlevel):
          """Ticket #652"""
          rva = [1.03221168e+02 +0.j, 
                 -1.91843603e+01 +0.j,
                 -6.04004526e-01+15.84422474j, 
                 -6.04004526e-01-15.84422474j,
                 -1.13692929e+01 +0.j,
                 -6.57612485e-01+10.41755503j,
                 -6.57612485e-01-10.41755503j,
                 1.82126812e+01 +0.j,
                 1.06011014e+01 +0.j ,
                 7.80732773e+00 +0.j ,
                 -7.65390898e-01 +0.j,
                 1.51971555e-15 +0.j ,
                 -1.51308713e-15 +0.j]        
          a = arange(13*13, dtype = float64)
          a.shape = (13,13)
          a = a%17
          va, ve = linalg.eig(a)
          assert_array_almost_equal(va, rva)
  
      def test_eigh_build(self, level = rlevel):
          """Ticket 662."""
          rvals = [68.60568999, 89.57756725, 106.67185574]
  
          cov = array([[ 77.70273908,   3.51489954,  15.64602427],
                       [3.51489954,  88.97013878,  -1.07431931],
                       [15.64602427,  -1.07431931,  98.18223512]])
           
          vals, vecs = linalg.eigh(cov)
          assert_array_almost_equal(vals, rvals)
  
      def test_svd_build(self, level = rlevel):
          """Ticket 627."""
          a = array([[ 0., 1.], [ 1., 1.], [ 2., 1.], [ 3., 1.]])
          m, n = a.shape
          u, s, vh = linalg.svd(a)
  
          b = dot(transpose(u[:, n:]), a)
  
          assert_array_almost_equal(b, np.zeros((2, 2)))
  
  if __name__ == '__main__':
      NumpyTest().run()
  
subject: Add regression for #627.