old_contents: import os.path
  import glob
  import numpy as N
  
  from scipy.testing import *
  
  try:
      import PIL.Image
  except ImportError:
      _have_PIL = False
  else:
      _have_PIL = True
  TestCase.__test__ = _have_PIL
  
  import scipy.misc.pilutil as pilutil
  
  datapath = os.path.dirname(__file__)
  
  class TestPILUtil(TestCase):
      def test_imresize(self):
          im = N.random.random((10,20))
          for T in N.sctypes['float'] + [float]:
              im1 = pilutil.imresize(im,T(1.1))
              assert_equal(im1.shape,(11,22))
  
      def test_bytescale(self):
          x = N.array([0,1,2],N.uint8)
          y = N.array([0,1,2])
          assert_equal(pilutil.bytescale(x),x)
          assert_equal(pilutil.bytescale(y),[0,127,255])
  
  
  def tst_fromimage(filename, irange):
      img = pilutil.fromimage(PIL.Image.open(filename))
      imin,imax = irange
      assert img.min() >= imin
      assert img.max() <= imax
  
  @dec.setastest(_have_PIL)
  def test_fromimage():
      ''' Test generator for parametric tests '''
      data = {'icon.png':(0,255),
              'icon_mono.png':(0,2),
              'icon_mono_flat.png':(0,1)}
      for fn, irange in data.iteritems():
          yield tst_fromimage, os.path.join(datapath,'data',fn), irange
  
  if __name__ == "__main__":
      nose.run(argv=['', __file__])
  
new_contents: import os.path
  import glob
  import numpy as N
  
  from scipy.testing import *
  
  try:
      import PIL.Image
  except ImportError:
      _have_PIL = False
  else:
      _have_PIL = True
      import scipy.misc.pilutil as pilutil
  TestCase.__test__ = _have_PIL
  
  datapath = os.path.dirname(__file__)
  
  class TestPILUtil(TestCase):
      def test_imresize(self):
          im = N.random.random((10,20))
          for T in N.sctypes['float'] + [float]:
              im1 = pilutil.imresize(im,T(1.1))
              assert_equal(im1.shape,(11,22))
  
      def test_bytescale(self):
          x = N.array([0,1,2],N.uint8)
          y = N.array([0,1,2])
          assert_equal(pilutil.bytescale(x),x)
          assert_equal(pilutil.bytescale(y),[0,127,255])
  
  
  def tst_fromimage(filename, irange):
      img = pilutil.fromimage(PIL.Image.open(filename))
      imin,imax = irange
      assert img.min() >= imin
      assert img.max() <= imax
  
  @dec.setastest(_have_PIL)
  def test_fromimage():
      ''' Test generator for parametric tests '''
      data = {'icon.png':(0,255),
              'icon_mono.png':(0,2),
              'icon_mono_flat.png':(0,1)}
      for fn, irange in data.iteritems():
          yield tst_fromimage, os.path.join(datapath,'data',fn), irange
  
  if __name__ == "__main__":
      nose.run(argv=['', __file__])
  
subject: Fix import error for PIL tests when PIL not present