From 8396d59268834eda91ce74ec129a1882386f7754 Mon Sep 17 00:00:00 2001
From: Steven Silvester <steven.silvester@ieee.org>
Date: Tue, 7 Oct 2014 07:13:43 -0500
Subject: [PATCH] Reinstate tifffile test

---
 skimage/io/tests/test_tifffile.py | 62 +++++++++++++++++++++++++++++++
 1 file changed, 62 insertions(+)
 create mode 100644 skimage/io/tests/test_tifffile.py

diff --git a/skimage/io/tests/test_tifffile.py b/skimage/io/tests/test_tifffile.py
new file mode 100644
index 00000000..7019f0c6
--- /dev/null
+++ b/skimage/io/tests/test_tifffile.py
@@ -0,0 +1,62 @@
+import os
+import skimage as si
+import skimage.io as sio
+import numpy as np
+
+from numpy.testing import *
+from numpy.testing.decorators import skipif
+from tempfile import NamedTemporaryFile
+
+try:
+    import skimage.io._plugins.tifffile_plugin as tf
+    _plugins = sio.plugin_order()
+    TF_available = True
+    sio.use_plugin('tifffile')
+except ImportError:
+    TF_available = False
+
+np.random.seed(0)
+
+
+def teardown():
+    sio.reset_plugins()
+
+
+@skipif(not TF_available)
+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)
+
+
+@skipif(not TF_available)
+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)
+
+    @skipif(not TF_available)
+    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.float64):
+                x = np.ones(shape, dtype=dtype) * np.random.rand(*shape)
+
+                if not np.issubdtype(dtype, float):
+                    x = (x * 255).astype(dtype)
+                yield self.roundtrip, dtype, x
+
+
+if __name__ == "__main__":
+    run_module_suite()