Fixed database typo and removed unnecessary class identifier.

venv/Lib/site-packages/skimage/util/tests/test_compare.py

@@ -0,0 +1,64 @@
+import numpy as np
+
+from skimage._shared.testing import assert_array_equal
+from skimage._shared import testing
+
+from skimage.util.compare import compare_images
+
+
+def test_compate_images_ValueError_shape():
+    img1 = np.zeros((10, 10), dtype=np.uint8)
+    img2 = np.zeros((10, 1), dtype=np.uint8)
+    with testing.raises(ValueError):
+        compare_images(img1, img2)
+
+
+def test_compare_images_diff():
+    img1 = np.zeros((10, 10), dtype=np.uint8)
+    img1[3:8, 3:8] = 255
+    img2 = np.zeros_like(img1)
+    img2[3:8, 0:8] = 255
+    expected_result = np.zeros_like(img1, dtype=np.float64)
+    expected_result[3:8, 0:3] = 1
+    result = compare_images(img1, img2, method='diff')
+    assert_array_equal(result, expected_result)
+
+
+def test_compare_images_blend():
+    img1 = np.zeros((10, 10), dtype=np.uint8)
+    img1[3:8, 3:8] = 255
+    img2 = np.zeros_like(img1)
+    img2[3:8, 0:8] = 255
+    expected_result = np.zeros_like(img1, dtype=np.float64)
+    expected_result[3:8, 3:8] = 1
+    expected_result[3:8, 0:3] = 0.5
+    result = compare_images(img1, img2, method='blend')
+    assert_array_equal(result, expected_result)
+
+
+def test_compare_images_checkerboard_default():
+    img1 = np.zeros((2**4, 2**4), dtype=np.uint8)
+    img2 = np.full(img1.shape, fill_value=255, dtype=np.uint8)
+    res = compare_images(img1, img2, method='checkerboard')
+    exp_row1 = np.array([0., 0., 1., 1., 0., 0., 1., 1., 0., 0., 1., 1., 0., 0., 1., 1.])
+    exp_row2 = np.array([1., 1., 0., 0., 1., 1., 0., 0., 1., 1., 0., 0., 1., 1., 0., 0.])
+    for i in (0, 1, 4, 5, 8, 9, 12, 13):
+        assert_array_equal(res[i, :], exp_row1)
+    for i in (2, 3, 6, 7, 10, 11, 14, 15):
+        assert_array_equal(res[i, :], exp_row2)
+
+
+def test_compare_images_checkerboard_tuple():
+    img1 = np.zeros((2**4, 2**4), dtype=np.uint8)
+    img2 = np.full(img1.shape, fill_value=255, dtype=np.uint8)
+    res = compare_images(img1, img2, method='checkerboard', n_tiles=(4, 8))
+    exp_row1 = np.array(
+        [0., 0., 1., 1., 0., 0., 1., 1., 0., 0., 1., 1., 0., 0., 1., 1.]
+    )
+    exp_row2 = np.array(
+        [1., 1., 0., 0., 1., 1., 0., 0., 1., 1., 0., 0., 1., 1., 0., 0.]
+    )
+    for i in (0, 1, 2, 3, 8, 9, 10, 11):
+        assert_array_equal(res[i, :], exp_row1)
+    for i in (4, 5, 6, 7, 12, 13, 14, 15):
+        assert_array_equal(res[i, :], exp_row2)