old_contents: """
  This test is for testing the NanGuardMode.
  """
  from pylearn2.devtools.nan_guard import NanGuardMode
  import numpy
  import theano
  import theano.tensor as T
  
  
  def test_NanGuardMode():
      """
      Tests if NanGuardMode is working by feeding in numpy.inf and numpy.nans
      intentionally. A working implementation should be able to capture all
      the abnormalties.
      """
      x = T.matrix()
      w = theano.shared(numpy.random.randn(5, 7).astype(theano.config.floatX))
      y = T.dot(x, w)
  
      fun = theano.function(
          [x], y,
          mode=NanGuardMode(nan_is_error=True, inf_is_error=True)
      )
      a = numpy.random.randn(3, 5).astype(theano.config.floatX)
      infa = numpy.tile(
          (numpy.asarray(100.) ** 1000000).astype(theano.config.floatX), (3, 5))
      nana = numpy.tile(
          numpy.asarray(numpy.nan).astype(theano.config.floatX), (3, 5))
      biga = numpy.tile(
          numpy.asarray(1e20).astype(theano.config.floatX), (3, 5))
  
      work = [False, False, False]
  
      fun(a)  # normal values
      try:
          fun(infa)  # INFs
      except AssertionError:
          work[0] = True
      try:
          fun(nana)  # NANs
      except AssertionError:
          work[1] = True
      try:
          fun(biga)  # big values
      except AssertionError:
          work[2] = True
  
      if not reduce(lambda x, y: x and y, work):
          raise AssertionError("NanGuardMode not working.")
  
new_contents: """
  This test is for testing the NanGuardMode.
  """
  from pylearn2.devtools.nan_guard import NanGuardMode
  import numpy
  import theano
  import theano.tensor as T
  
  
  def test_NanGuardMode():
      """
      Tests if NanGuardMode is working by feeding in numpy.inf and numpy.nans
      intentionally. A working implementation should be able to capture all
      the abnormalties.
      """
      x = T.matrix()
      w = theano.shared(numpy.random.randn(5, 7).astype(theano.config.floatX))
      y = T.dot(x, w)
  
      fun = theano.function(
          [x], y,
          mode=NanGuardMode(nan_is_error=True, inf_is_error=True)
      )
      a = numpy.random.randn(3, 5).astype(theano.config.floatX)
      infa = numpy.tile(
          (numpy.asarray(100.) ** 1000000).astype(theano.config.floatX), (3, 5))
      nana = numpy.tile(
          numpy.asarray(numpy.nan).astype(theano.config.floatX), (3, 5))
      biga = numpy.tile(
          numpy.asarray(1e20).astype(theano.config.floatX), (3, 5))
  
      work = [False, False, False]
  
      fun(a)  # normal values
      try:
          fun(infa)  # INFs
      except AssertionError:
          work[0] = True
      try:
          fun(nana)  # NANs
      except AssertionError:
          work[1] = True
      try:
          fun(biga)  # big values
      except AssertionError:
          work[2] = True
  
      if not (work[0] and work[1] and work[2]):
          raise AssertionError("NanGuardMode not working.")
  
subject: remove reduce() in test code