Fixed database typo and removed unnecessary class identifier.

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

@@ -0,0 +1,79 @@
+from tempfile import NamedTemporaryFile
+
+import pytest
+import numpy as np
+from skimage.io import imread, imsave, use_plugin, reset_plugins
+
+from skimage._shared import testing
+from skimage._shared.testing import assert_array_almost_equal, TestCase, fetch
+from skimage._shared._warnings import expected_warnings
+
+
+def setup():
+    use_plugin('imageio')
+
+
+def teardown():
+    reset_plugins()
+
+
+def test_imageio_as_gray():
+
+    img = imread(fetch('data/color.png'), as_gray=True)
+    assert img.ndim == 2
+    assert img.dtype == np.float64
+    img = imread(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_imageio_palette():
+    img = imread(fetch('data/palette_color.png'))
+    assert img.ndim == 3
+
+
+def test_imageio_truncated_jpg():
+    # imageio>2.0 uses Pillow / PIL to try and load the file.
+    # Oddly, PIL explicitly raises a SyntaxError when the file read fails.
+    with testing.raises(SyntaxError):
+        imread(fetch('data/truncated.jpg'))
+
+
+class TestSave(TestCase):
+
+    def roundtrip(self, x, scaling=1):
+        f = NamedTemporaryFile(suffix='.png')
+        fname = f.name
+        f.close()
+        imsave(fname, x)
+        y = imread(fname)
+
+        assert_array_almost_equal((x * scaling).astype(np.int32), y)
+
+    def test_imsave_roundtrip(self):
+        dtype = np.uint8
+        np.random.seed(0)
+        for shape in [(10, 10), (10, 10, 3), (10, 10, 4)]:
+            x = np.ones(shape, dtype=dtype) * np.random.rand(*shape)
+
+            if np.issubdtype(dtype, np.floating):
+                yield self.roundtrip, x, 255
+            else:
+                x = (x * 255).astype(dtype)
+                yield self.roundtrip, x
+
+    def test_bool_array_save(self):
+        f = NamedTemporaryFile(suffix='.png')
+        fname = f.name
+        f.close()
+        with expected_warnings(['.* is a boolean image']):
+            a = np.zeros((5, 5), bool)
+            a[2, 2] = True
+            imsave(fname, a)
+
+
+def test_return_class():
+    testing.assert_equal(
+        type(imread(fetch('data/color.png'))),
+        np.ndarray
+    )