Fixed database typo and removed unnecessary class identifier.

venv/Lib/site-packages/skimage/io/tests/test_simpleitk.py

@@ -0,0 +1,87 @@
+import os.path
+import numpy as np
+import unittest
+
+from tempfile import NamedTemporaryFile
+
+from skimage import data
+from skimage.io import imread, imsave, use_plugin, reset_plugins
+from skimage._shared import testing
+
+from pytest import importorskip
+
+importorskip('SimpleITK')
+
+np.random.seed(0)
+
+def teardown():
+    reset_plugins()
+
+
+def setup_module(self):
+    """The effect of the `plugin.use` call may be overridden by later imports.
+    Call `use_plugin` directly before the tests to ensure that SimpleITK is
+    used.
+
+    """
+    use_plugin('simpleitk')
+
+
+def test_imread_as_gray():
+    img = imread(testing.fetch('data/color.png'), as_gray=True)
+    assert img.ndim == 2
+    assert img.dtype == np.float64
+    img = imread(testing.fetch('data/camera.png'), as_gray=True)
+    # check that conversion does not happen for a gray image
+    assert np.sctype2char(img.dtype) in np.typecodes['AllInteger']
+
+
+def test_bilevel():
+    expected = np.zeros((10, 10))
+    expected[::2] = 255
+
+    img = imread(testing.fetch('data/checker_bilevel.png'))
+    np.testing.assert_array_equal(img, expected)
+
+"""
+#TODO: This test causes a Segmentation fault
+def test_imread_truncated_jpg():
+    assert_raises((RuntimeError, ValueError),
+                  imread,
+                  testing.fetch('data/truncated.jpg'))
+"""
+
+
+def test_imread_uint16():
+    expected = np.load(testing.fetch('data/chessboard_GRAY_U8.npy'))
+    img = imread(testing.fetch('data/chessboard_GRAY_U16.tif'))
+    assert np.issubdtype(img.dtype, np.uint16)
+    np.testing.assert_array_almost_equal(img, expected)
+
+
+def test_imread_uint16_big_endian():
+    expected = np.load(testing.fetch('data/chessboard_GRAY_U8.npy'))
+    img = imread(testing.fetch('data/chessboard_GRAY_U16B.tif'))
+    np.testing.assert_array_almost_equal(img, expected)
+
+
+class TestSave(unittest.TestCase):
+    def roundtrip(self, dtype, x):
+        f = NamedTemporaryFile(suffix='.mha')
+        fname = f.name
+        f.close()
+        imsave(fname, x)
+        y = imread(fname)
+
+        np.testing.assert_array_almost_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.float64):
+                x = np.ones(shape, dtype=dtype) * np.random.rand(*shape)
+
+                if np.issubdtype(dtype, np.floating):
+                    yield self.roundtrip, dtype, x
+                else:
+                    x = (x * 255).astype(dtype)
+                    yield self.roundtrip, dtype, x