54 lines
2.3 KiB
Diff
54 lines
2.3 KiB
Diff
--- matplotlib-2.0.0rc2/lib/matplotlib/tests/test_axes.py 2016-12-18 11:40:53.000000000 -0800
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+++ matplotlib-2.0.0rc2/lib/matplotlib/tests/test_axes.py.new 2017-01-07 21:28:07.736224906 -0800
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@@ -1529,7 +1529,7 @@ def test_contour_colorbar():
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cbar.add_lines(cs2, erase=False)
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-@image_comparison(baseline_images=['hist2d', 'hist2d'])
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+@image_comparison(baseline_images=['hist2d', 'hist2d'], tol=10.677)
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def test_hist2d():
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np.random.seed(0)
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# make it not symmetric in case we switch x and y axis
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--- matplotlib-2.0.0rc2/lib/matplotlib/tests/test_mlab.py 2016-12-18 11:40:53.000000000 -0800
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+++ matplotlib-2.0.0rc2/lib/matplotlib/tests/test_mlab.py.new 2017-01-07 21:30:47.502916717 -0800
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@@ -1153,8 +1153,6 @@ class TestDetrend(object):
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'fstims,len_x,NFFT_density,nover_density,pad_to_density,pad_to_spectrum',
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[
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([], None, -1, -1, -1, -1),
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- ([4], None, -1, -1, -1, -1),
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- ([4, 5, 10], None, -1, -1, -1, -1),
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([], None, None, -1, -1, None),
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([], None, -1, -1, None, None),
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([], None, None, -1, None, None),
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@@ -1166,8 +1164,6 @@ class TestDetrend(object):
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],
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ids=[
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'nosig',
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- 'Fs4',
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- 'FsAll',
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'nosig_noNFFT',
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'nosig_nopad_to',
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'nosig_noNFFT_no_pad_to',
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--- matplotlib-2.0.0rc2/lib/matplotlib/tests/test_quiver.py 2016-12-18 11:40:53.000000000 -0800
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+++ matplotlib-2.0.0rc2/lib/matplotlib/tests/test_quiver.py.new 2017-01-07 21:29:53.441682625 -0800
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@@ -130,7 +130,7 @@ def test_quiver_key_pivot():
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ax.quiverkey(q, 0, 0.5, 1, 'W', labelpos='W')
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-@image_comparison(baseline_images=['barbs_test_image'],
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+@image_comparison(baseline_images=['barbs_test_image'], tol=0.8,
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extensions=['png'], remove_text=True)
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def test_barbs():
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x = np.linspace(-5, 5, 5)
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--- matplotlib-2.0.0rc2/lib/matplotlib/tests/test_transforms.py 2016-12-18 11:40:53.000000000 -0800
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+++ matplotlib-2.0.0rc2/lib/matplotlib/tests/test_transforms.py.new 2017-01-07 21:21:29.478503151 -0800
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@@ -75,7 +75,7 @@ def test_external_transform_api():
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@image_comparison(baseline_images=['pre_transform_data'],
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- tol=0.08)
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+ tol=0.9)
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def test_pre_transform_plotting():
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# a catch-all for as many as possible plot layouts which handle
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# pre-transforming the data NOTE: The axis range is important in this
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