old_contents: import os
  import skimage as si
  import skimage.io as sio
  import numpy as np
  
  from numpy.testing import (
      assert_array_equal, assert_array_almost_equal, run_module_suite)
  
  from tempfile import NamedTemporaryFile
  
  _plugins = sio.plugin_order()
  sio.use_plugin('tifffile')
  
  
  np.random.seed(0)
  
  
  def teardown():
      sio.reset_plugins()
  
  
  def test_imread_uint16():
      expected = np.load(os.path.join(si.data_dir, 'chessboard_GRAY_U8.npy'))
      img = sio.imread(os.path.join(si.data_dir, 'chessboard_GRAY_U16.tif'))
      assert img.dtype == np.uint16
      assert_array_almost_equal(img, expected)
  
  
  def test_imread_uint16_big_endian():
      expected = np.load(os.path.join(si.data_dir, 'chessboard_GRAY_U8.npy'))
      img = sio.imread(os.path.join(si.data_dir, 'chessboard_GRAY_U16B.tif'))
      assert img.dtype == np.uint16
      assert_array_almost_equal(img, expected)
  
  
  class TestSave:
      def roundtrip(self, dtype, x):
          f = NamedTemporaryFile(suffix='.tif')
          fname = f.name
          f.close()
          sio.imsave(fname, x)
          y = sio.imread(fname)
          assert_array_equal(x, y)
  
      def test_imsave_roundtrip(self):
          for shape in [(10, 10), (10, 10, 3), (10, 10, 4)]:
              for dtype in (np.uint8, np.uint16, np.float32, np.int16,
                            np.float64):
                  x = np.random.rand(*shape)
  
                  if not np.issubdtype(dtype, float):
                      x = (x * np.iinfo(dtype).max).astype(dtype)
                  else:
                      x = x.astype(dtype)
                  yield self.roundtrip, dtype, x
  
  
  if __name__ == "__main__":
      run_module_suite()
  
new_contents: import os
  from ... import data_dir
  from .. import imread, imsave, use_plugin, reset_plugins
  import numpy as np
  
  from numpy.testing import (
      assert_array_equal, assert_array_almost_equal, run_module_suite)
  
  from tempfile import NamedTemporaryFile
  
  
  def setup():
      use_plugin('tifffile')
      np.random.seed(0)
  
  
  def teardown():
      reset_plugins()
  
  
  def test_imread_uint16():
      expected = np.load(os.path.join(data_dir, 'chessboard_GRAY_U8.npy'))
      img = imread(os.path.join(data_dir, 'chessboard_GRAY_U16.tif'))
      assert img.dtype == np.uint16
      assert_array_almost_equal(img, expected)
  
  
  def test_imread_uint16_big_endian():
      expected = np.load(os.path.join(data_dir, 'chessboard_GRAY_U8.npy'))
      img = imread(os.path.join(data_dir, 'chessboard_GRAY_U16B.tif'))
      assert img.dtype == np.uint16
      assert_array_almost_equal(img, expected)
  
  
  def test_imread_multipage_rgb_tif():
      img = imread(os.path.join(data_dir, 'multipage_rgb.tif'))
      assert img.shape == (2, 10, 10, 3), img.shape
  
  
  class TestSave:
      def roundtrip(self, dtype, x):
          f = NamedTemporaryFile(suffix='.tif')
          fname = f.name
          f.close()
          imsave(fname, x)
          y = imread(fname)
          assert_array_equal(x, y)
  
      def test_imsave_roundtrip(self):
          for shape in [(10, 10), (10, 10, 3), (10, 10, 4)]:
              for dtype in (np.uint8, np.uint16, np.float32, np.int16,
                            np.float64):
                  x = np.random.rand(*shape)
  
                  if not np.issubdtype(dtype, float):
                      x = (x * np.iinfo(dtype).max).astype(dtype)
                  else:
                      x = x.astype(dtype)
                  yield self.roundtrip, dtype, x
  
  
  if __name__ == "__main__":
      run_module_suite()
  
subject: Add a multipage tiff test and cleanup test_tifffile