update

.CondaPkg/env/Lib/site-packages/skimage/io/tests/test_simpleitk.py

@@ -1,83 +0,0 @@
-import numpy as np
-import unittest
-
-from tempfile import NamedTemporaryFile
-
-from skimage.io import imread, imsave, use_plugin, reset_plugins
-from skimage._shared import testing
-
-from pytest import importorskip, raises, fixture
-
-importorskip('SimpleITK')
-
-np.random.seed(0)
-
-
-def teardown():
-    reset_plugins()
-
-
-@fixture(autouse=True)
-def setup_plugin():
-    """This ensures that `use_plugin` is directly called before all tests to
-    ensure that SimpleITK is used.
-    """
-    use_plugin('simpleitk')
-    yield
-
-
-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)
-
-
-def test_imread_truncated_jpg():
-    with raises(RuntimeError):
-        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):
-        with NamedTemporaryFile(suffix='.mha') as f:
-            fname = f.name
-
-        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