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TST: Increase some tolerances for Windows.
The problem arises in some other location that is more difficult to determine than the previous one.
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lib/matplotlib/tests/test_streamplot.py

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from __future__ import absolute_import, division, print_function
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import sys
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import numpy as np
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from numpy.testing import assert_array_almost_equal
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import matplotlib.pyplot as plt
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from matplotlib.testing.decorators import image_comparison
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import matplotlib.transforms as mtransforms
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on_win = (sys.platform == 'win32')
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def velocity_field():
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Y, X = np.mgrid[-3:3:100j, -3:3:100j]
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U = -1 - X**2 + Y
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linewidth=lw)
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@image_comparison(baseline_images=['streamplot_masks_and_nans'])
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@image_comparison(baseline_images=['streamplot_masks_and_nans'],
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tol=0.04 if on_win else 0)
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def test_masks_and_nans():
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X, Y, U, V = velocity_field()
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mask = np.zeros(U.shape, dtype=bool)

lib/matplotlib/tests/test_triangulation.py

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@@ -784,7 +784,7 @@ def z(x, y):
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@image_comparison(baseline_images=['tri_smooth_gradient'],
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extensions=['png'], remove_text=True, tol=0.035)
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extensions=['png'], remove_text=True, tol=0.092)
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def test_tri_smooth_gradient():
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# Image comparison based on example trigradient_demo.
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