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From: Sandro Tosi <morph@debian.org>
Date: Wed, 18 Jan 2017 20:05:24 -0500
Subject: Increase test tollerance
Patch taken from Fedora packaging:
http://pkgs.fedoraproject.org/cgit/rpms/python-matplotlib.git/plain/python-matplotlib-increase-tests-tolerance.patch
---
lib/matplotlib/testing/decorators.py | 2 +-
lib/matplotlib/tests/test_mathtext.py | 5 ++---
lib/matplotlib/tests/test_patheffects.py | 2 +-
3 files changed, 4 insertions(+), 5 deletions(-)
--- a/lib/matplotlib/testing/decorators.py
+++ b/lib/matplotlib/testing/decorators.py
@@ -256,7 +256,7 @@
return decorator
-def image_comparison(baseline_images, extensions=None, tol=0,
+def image_comparison(baseline_images, extensions=None, tol=0.306,
freetype_version=None, remove_text=False,
savefig_kwarg=None,
# Default of mpl_test_settings fixture and cleanup too.
--- a/lib/matplotlib/tests/test_mathtext.py
+++ b/lib/matplotlib/tests/test_mathtext.py
@@ -214,7 +214,7 @@
'fontset', ['cm', 'stix', 'stixsans', 'dejavusans', 'dejavuserif'])
@pytest.mark.parametrize('baseline_images', ['mathtext'], indirect=True)
@image_comparison(baseline_images=None,
- tol=0.011 if platform.machine() in ('ppc64le', 's390x') else 0)
+ tol=0.310)
def test_mathtext_rendering(baseline_images, fontset, index, text):
mpl.rcParams['mathtext.fontset'] = fontset
fig = plt.figure(figsize=(5.25, 0.75))
@@ -256,7 +256,7 @@
'fontset', ['cm', 'stix', 'stixsans', 'dejavusans', 'dejavuserif'])
@pytest.mark.parametrize('baseline_images', ['mathfont'], indirect=True)
@image_comparison(baseline_images=None, extensions=['png'],
- tol=0.011 if platform.machine() in ('ppc64le', 's390x') else 0)
+ tol=0.310)
def test_mathfont_rendering(baseline_images, fontset, index, text):
mpl.rcParams['mathtext.fontset'] = fontset
fig = plt.figure(figsize=(5.25, 0.75))
--- a/lib/matplotlib/tests/test_patheffects.py
+++ b/lib/matplotlib/tests/test_patheffects.py
@@ -120,7 +120,7 @@
assert pe._offset == (4, 5)
-@image_comparison(['collection'], tol=0.03, style='mpl20')
+@image_comparison(['collection'], tol=0.083, style='mpl20')
def test_collection():
x, y = np.meshgrid(np.linspace(0, 10, 150), np.linspace(-5, 5, 100))
data = np.sin(x) + np.cos(y)
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