Fixed database typo and removed unnecessary class identifier.

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

@@ -0,0 +1,75 @@
+import itertools
+from tempfile import NamedTemporaryFile
+from skimage.io import imread, imsave, use_plugin, reset_plugins
+import numpy as np
+
+from skimage._shared.testing import (assert_array_equal,
+                                     assert_array_almost_equal,
+                                     parametrize, fetch)
+from skimage._shared import testing
+
+
+def setup():
+    use_plugin('tifffile')
+    np.random.seed(0)
+
+
+def teardown():
+    reset_plugins()
+
+
+def test_imread_uint16():
+    expected = np.load(fetch('data/chessboard_GRAY_U8.npy'))
+    img = imread(fetch('data/chessboard_GRAY_U16.tif'))
+    assert img.dtype == np.uint16
+    assert_array_almost_equal(img, expected)
+
+
+def test_imread_uint16_big_endian():
+    expected = np.load(fetch('data/chessboard_GRAY_U8.npy'))
+    img = imread(fetch('data/chessboard_GRAY_U16B.tif'))
+    assert img.dtype == np.uint16
+    assert_array_almost_equal(img, expected)
+
+
+def test_imread_multipage_rgb_tif():
+    img = imread(fetch('data/multipage_rgb.tif'))
+    assert img.shape == (2, 10, 10, 3), img.shape
+
+
+def test_tifffile_kwarg_passthrough ():
+    img = imread(fetch('data/multipage.tif'), key=[1],
+                 multifile=False, multifile_close=True, fastij=True,
+                 is_ome=True)
+    assert img.shape == (15, 10), img.shape
+
+
+def test_imread_handle():
+    expected = np.load(fetch('data/chessboard_GRAY_U8.npy'))
+    with open(fetch('data/chessboard_GRAY_U16.tif'), 'rb') as fh:
+        img = imread(fh)
+    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()
+        imsave(fname, x, check_contrast=False)
+        y = imread(fname)
+        assert_array_equal(x, y)
+
+    shapes = ((10, 10), (10, 10, 3), (10, 10, 4))
+    dtypes = (np.uint8, np.uint16, np.float32, np.int16, np.float64)
+
+    @parametrize("shape, dtype", itertools.product(shapes, dtypes))
+    def test_imsave_roundtrip(self, shape, dtype):
+        x = np.random.rand(*shape)
+
+        if not np.issubdtype(dtype, np.floating):
+            x = (x * np.iinfo(dtype).max).astype(dtype)
+        else:
+            x = x.astype(dtype)
+        self.roundtrip(dtype, x)