old_contents: #this program corresponds to special.py
  
  from numpy.testing import *
  set_package_path()
  import scipy.signal as signal
  restore_path()
  
  from numpy import array
  
  class test_convolve(ScipyTestCase):
      def check_basic(self):
          a = [3,4,5,6,5,4]
          b = [1,2,3]
          c = signal.convolve(a,b)
          assert_array_equal(c,array([3,10,22,28,32,32,23,12]))
  
  class test_medfilt(ScipyTestCase):
      def check_basic(self):
          f = [[3,4,5],[2,3,4],[1,2,5]]
          d = signal.medfilt(f)
          assert_array_equal(d, [[0,3,0],[2,3,3],[0,2,0]])
  
  class test_wiener(ScipyTestCase):
      def check_basic(self):
          g = array([[5,6,4,3],[3,5,6,2],[2,3,5,6],[1,6,9,7]],'d')
          correct = array([[2.16374269,3.2222222222, 2.8888888889, 1.6666666667],[2.666666667, 4.33333333333, 4.44444444444, 2.8888888888],[2.222222222, 4.4444444444, 5.4444444444, 4.801066874837],[1.33333333333, 3.92735042735, 6.0712560386, 5.0404040404]])
          h = signal.wiener(g)
          assert_array_almost_equal(h,correct,decimal=6)
  
  if __name__ == "__main__":
      ScipyTest().run()
  
  
  
  
  
new_contents: #this program corresponds to special.py
  
  from numpy.testing import *
  set_package_path()
  import scipy.signal as signal
  restore_path()
  
  from numpy import array, arange
  
  class test_convolve(ScipyTestCase):
      def check_basic(self):
          a = [3,4,5,6,5,4]
          b = [1,2,3]
          c = signal.convolve(a,b)
          assert_array_equal(c,array([3,10,22,28,32,32,23,12]))
  
  class test_medfilt(ScipyTestCase):
      def check_basic(self):
          f = [[3,4,5],[2,3,4],[1,2,5]]
          d = signal.medfilt(f)
          assert_array_equal(d, [[0,3,0],[2,3,3],[0,2,0]])
  
  class test_wiener(ScipyTestCase):
      def check_basic(self):
          g = array([[5,6,4,3],[3,5,6,2],[2,3,5,6],[1,6,9,7]],'d')
          correct = array([[2.16374269,3.2222222222, 2.8888888889, 1.6666666667],[2.666666667, 4.33333333333, 4.44444444444, 2.8888888888],[2.222222222, 4.4444444444, 5.4444444444, 4.801066874837],[1.33333333333, 3.92735042735, 6.0712560386, 5.0404040404]])
          h = signal.wiener(g)
          assert_array_almost_equal(h,correct,decimal=6)
  
  class test_cspline1d_eval(ScipyTestCase):
      def check_basic(self):
          y=array([1,2,3,4,3,2,1,2,3.0])
          x=arange(len(y)) 
          dx=x[1]-x[0]
          cj = signal.cspline1d(y)
  
          x2=arange(len(y)*10.0)/10.0
          y2=signal.cspline1d_eval(cj, x2, dx=dx,x0=x[0])
          
          # make sure interpolated values are on knot points
          assert_array_almost_equal(y2[::10], y, decimal=5)
  
  
  if __name__ == "__main__":
      ScipyTest().run()
  
  
  
  
  
subject: Add test for cspline1d_eval.