1 files changed, 0 insertions, 73 deletions
diff --git a/sci-libs/scikits_image/files/scikits_image-0.11.3-adapthist-backport.patch1 b/sci-libs/scikits_image/files/scikits_image-0.11.3-adapthist-backport.patch1
deleted file mode 100644
index 9d8036c2a1d4..000000000000
--- a/sci-libs/scikits_image/files/scikits_image-0.11.3-adapthist-backport.patch1
+++ /dev/null
@@ -1,73 +0,0 @@
- skimage/exposure/_adapthist.py          |  8 +++++---
- skimage/exposure/tests/test_exposure.py | 14 +++++++-------
- 2 files changed, 12 insertions(+), 10 deletions(-)
-
-diff --git a/skimage/exposure/_adapthist.py b/skimage/exposure/_adapthist.py
-index b71916f..e878bfb 100644
---- a/skimage/exposure/_adapthist.py
-+++ b/skimage/exposure/_adapthist.py
-@@ -255,12 +255,14 @@ def clip_histogram(hist, clip_limit):
-     while n_excess > 0:  # Redistribute remaining excess
-         index = 0
-         while n_excess > 0 and index < hist.size:
-+            under_mask = hist < 0
-             step_size = int(hist[hist < clip_limit].size / n_excess)
-             step_size = max(step_size, 1)
-             indices = np.arange(index, hist.size, step_size)
--            under = hist[indices] < clip_limit
--            hist[under] += 1
--            n_excess -= hist[under].size
-+            under_mask[indices] = True
-+            under_mask = (under_mask) & (hist < clip_limit)
-+            hist[under_mask] += 1
-+            n_excess -= under_mask.sum()
-             index += 1
- 
-     return hist
-diff --git a/skimage/exposure/tests/test_exposure.py b/skimage/exposure/tests/test_exposure.py
-index 265ce24..83bb551 100644
---- a/skimage/exposure/tests/test_exposure.py
-+++ b/skimage/exposure/tests/test_exposure.py
-@@ -199,9 +199,9 @@ def test_adapthist_scalar():
-     full_scale = skimage.exposure.rescale_intensity(skimage.img_as_float(img))
- 
-     assert_almost_equal = np.testing.assert_almost_equal
--    assert_almost_equal(peak_snr(full_scale, adapted), 101.2295, 3)
-+    assert_almost_equal(peak_snr(full_scale, adapted), 102.066, 3)
-     assert_almost_equal(norm_brightness_err(full_scale, adapted),
--                        0.041, 3)
-+                        0.038, 3)
-     return img, adapted
- 
- 
-@@ -216,8 +216,8 @@ def test_adapthist_grayscale():
-                                               nbins=128)
-     assert_almost_equal = np.testing.assert_almost_equal
-     assert img.shape == adapted.shape
--    assert_almost_equal(peak_snr(img, adapted), 97.6876, 3)
--    assert_almost_equal(norm_brightness_err(img, adapted), 0.0591, 3)
-+    assert_almost_equal(peak_snr(img, adapted), 102.078, 3)
-+    assert_almost_equal(norm_brightness_err(img, adapted), 0.0529, 3)
-     return data, adapted
- 
- 
-@@ -237,7 +237,7 @@ def test_adapthist_color():
-     assert adapted.max() == 1.0
-     assert img.shape == adapted.shape
-     full_scale = skimage.exposure.rescale_intensity(img)
--    assert_almost_equal(peak_snr(full_scale, adapted), 109.6, 1)
-+    assert_almost_equal(peak_snr(full_scale, adapted), 109.393, 1)
-     assert_almost_equal(norm_brightness_err(full_scale, adapted), 0.02, 2)
-     return data, adapted
- 
-@@ -255,8 +255,8 @@ def test_adapthist_alpha():
-     full_scale = skimage.exposure.rescale_intensity(img)
-     assert img.shape == adapted.shape
-     assert_almost_equal = np.testing.assert_almost_equal
--    assert_almost_equal(peak_snr(full_scale, adapted), 109.60, 2)
--    assert_almost_equal(norm_brightness_err(full_scale, adapted), 0.0235, 3)
-+    assert_almost_equal(peak_snr(full_scale, adapted), 109.393, 2)
-+    assert_almost_equal(norm_brightness_err(full_scale, adapted), 0.0248, 3)
- 
- 
- def peak_snr(img1, img2):