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@@ -1,4 +1,4 @@
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- From 7d114c59042314c1478ed5fad061c998a1f31b19 Mon Sep 17 00:00:00 2001
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+ From 4b3c9145a4c247197a40c5314151566e437f7bbe Mon Sep 17 00:00:00 2001
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From: Elliott Sales de Andrade <quantum.analyst@gmail.com>
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Date: Sat, 31 Mar 2018 00:15:14 -0400
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Subject: [PATCH 3/3] Increase some tolerances for 32-bit systems.
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@@ -57,10 +57,10 @@
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exterior = mpath.Path.unit_rectangle().deepcopy()
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exterior.vertices *= 4
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diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
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- index 629517406..edb7b5ed7 100644
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+ index c0e0e560d..6e88c167c 100644
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--- a/lib/matplotlib/tests/test_axes.py
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+++ b/lib/matplotlib/tests/test_axes.py
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- @@ -553,7 +553,7 @@ def test_single_point():
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+ @@ -554,7 +554,7 @@ def test_single_point():
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@image_comparison(baseline_images=['single_date'], extensions=['png'],
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@@ -69,7 +69,7 @@
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def test_single_date():
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time1 = [721964.0]
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data1 = [-65.54]
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- @@ -1027,7 +1027,7 @@ def test_fill_between_interpolate():
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+ @@ -1028,7 +1028,7 @@ def test_fill_between_interpolate():
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@image_comparison(baseline_images=['fill_between_interpolate_decreasing'],
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@@ -78,7 +78,7 @@
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def test_fill_between_interpolate_decreasing():
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p = np.array([724.3, 700, 655])
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t = np.array([9.4, 7, 2.2])
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- @@ -1109,7 +1109,8 @@ def test_pcolormesh():
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+ @@ -1110,7 +1110,8 @@ def test_pcolormesh():
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@image_comparison(baseline_images=['pcolormesh_datetime_axis'],
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@@ -88,7 +88,7 @@
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def test_pcolormesh_datetime_axis():
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fig = plt.figure()
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fig.subplots_adjust(hspace=0.4, top=0.98, bottom=.15)
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- @@ -1135,7 +1136,8 @@ def test_pcolormesh_datetime_axis():
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+ @@ -1136,7 +1137,8 @@ def test_pcolormesh_datetime_axis():
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@image_comparison(baseline_images=['pcolor_datetime_axis'],
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@@ -98,7 +98,7 @@
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def test_pcolor_datetime_axis():
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fig = plt.figure()
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fig.subplots_adjust(hspace=0.4, top=0.98, bottom=.15)
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- @@ -1192,7 +1194,7 @@ def test_canonical():
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+ @@ -1193,7 +1195,7 @@ def test_canonical():
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@image_comparison(baseline_images=['arc_angles'], remove_text=True,
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@@ -107,7 +107,7 @@
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def test_arc_angles():
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from matplotlib import patches
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# Ellipse parameters
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- @@ -2539,7 +2541,7 @@ def test_boxplot_mod_artist_after_plotting():
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+ @@ -2540,7 +2542,7 @@ def test_boxplot_mod_artist_after_plotting():
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@image_comparison(baseline_images=['violinplot_vert_baseline',
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'violinplot_vert_baseline'],
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@@ -116,7 +116,7 @@
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def test_vert_violinplot_baseline():
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# First 9 digits of frac(sqrt(2))
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np.random.seed(414213562)
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- @@ -2557,7 +2559,7 @@ def test_vert_violinplot_baseline():
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+ @@ -2558,7 +2560,7 @@ def test_vert_violinplot_baseline():
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@image_comparison(baseline_images=['violinplot_vert_showmeans'],
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@@ -125,7 +125,7 @@
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def test_vert_violinplot_showmeans():
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ax = plt.axes()
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# First 9 digits of frac(sqrt(3))
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- @@ -2568,7 +2570,7 @@ def test_vert_violinplot_showmeans():
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+ @@ -2569,7 +2571,7 @@ def test_vert_violinplot_showmeans():
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@image_comparison(baseline_images=['violinplot_vert_showextrema'],
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@@ -134,7 +134,7 @@
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def test_vert_violinplot_showextrema():
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ax = plt.axes()
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# First 9 digits of frac(sqrt(5))
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- @@ -2579,7 +2581,7 @@ def test_vert_violinplot_showextrema():
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+ @@ -2580,7 +2582,7 @@ def test_vert_violinplot_showextrema():
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@image_comparison(baseline_images=['violinplot_vert_showmedians'],
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@@ -143,7 +143,7 @@
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def test_vert_violinplot_showmedians():
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ax = plt.axes()
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# First 9 digits of frac(sqrt(7))
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- @@ -2590,7 +2592,7 @@ def test_vert_violinplot_showmedians():
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+ @@ -2591,7 +2593,7 @@ def test_vert_violinplot_showmedians():
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@image_comparison(baseline_images=['violinplot_vert_showall'],
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@@ -152,7 +152,7 @@
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def test_vert_violinplot_showall():
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ax = plt.axes()
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# First 9 digits of frac(sqrt(11))
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- @@ -2601,7 +2603,7 @@ def test_vert_violinplot_showall():
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+ @@ -2602,7 +2604,7 @@ def test_vert_violinplot_showall():
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@image_comparison(baseline_images=['violinplot_vert_custompoints_10'],
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@@ -161,7 +161,7 @@
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def test_vert_violinplot_custompoints_10():
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ax = plt.axes()
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# First 9 digits of frac(sqrt(13))
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- @@ -2612,7 +2614,7 @@ def test_vert_violinplot_custompoints_10():
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+ @@ -2613,7 +2615,7 @@ def test_vert_violinplot_custompoints_10():
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@image_comparison(baseline_images=['violinplot_vert_custompoints_200'],
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@@ -170,7 +170,7 @@
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def test_vert_violinplot_custompoints_200():
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ax = plt.axes()
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# First 9 digits of frac(sqrt(17))
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- @@ -2623,7 +2625,7 @@ def test_vert_violinplot_custompoints_200():
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+ @@ -2624,7 +2626,7 @@ def test_vert_violinplot_custompoints_200():
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@image_comparison(baseline_images=['violinplot_horiz_baseline'],
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@@ -179,7 +179,7 @@
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def test_horiz_violinplot_baseline():
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ax = plt.axes()
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# First 9 digits of frac(sqrt(19))
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- @@ -2634,7 +2636,7 @@ def test_horiz_violinplot_baseline():
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+ @@ -2635,7 +2637,7 @@ def test_horiz_violinplot_baseline():
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@image_comparison(baseline_images=['violinplot_horiz_showmedians'],
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@@ -188,7 +188,7 @@
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def test_horiz_violinplot_showmedians():
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ax = plt.axes()
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# First 9 digits of frac(sqrt(23))
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- @@ -2645,7 +2647,7 @@ def test_horiz_violinplot_showmedians():
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+ @@ -2646,7 +2648,7 @@ def test_horiz_violinplot_showmedians():
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@image_comparison(baseline_images=['violinplot_horiz_showmeans'],
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@@ -197,7 +197,7 @@
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def test_horiz_violinplot_showmeans():
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ax = plt.axes()
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# First 9 digits of frac(sqrt(29))
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- @@ -2656,7 +2658,7 @@ def test_horiz_violinplot_showmeans():
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+ @@ -2657,7 +2659,7 @@ def test_horiz_violinplot_showmeans():
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@image_comparison(baseline_images=['violinplot_horiz_showextrema'],
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@@ -206,7 +206,7 @@
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def test_horiz_violinplot_showextrema():
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ax = plt.axes()
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# First 9 digits of frac(sqrt(31))
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- @@ -2667,7 +2669,7 @@ def test_horiz_violinplot_showextrema():
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+ @@ -2668,7 +2670,7 @@ def test_horiz_violinplot_showextrema():
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@image_comparison(baseline_images=['violinplot_horiz_showall'],
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@@ -215,7 +215,7 @@
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def test_horiz_violinplot_showall():
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ax = plt.axes()
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# First 9 digits of frac(sqrt(37))
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- @@ -2678,7 +2680,7 @@ def test_horiz_violinplot_showall():
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+ @@ -2679,7 +2681,7 @@ def test_horiz_violinplot_showall():
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@image_comparison(baseline_images=['violinplot_horiz_custompoints_10'],
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@@ -224,7 +224,7 @@
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def test_horiz_violinplot_custompoints_10():
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ax = plt.axes()
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# First 9 digits of frac(sqrt(41))
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- @@ -2689,7 +2691,7 @@ def test_horiz_violinplot_custompoints_10():
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+ @@ -2690,7 +2692,7 @@ def test_horiz_violinplot_custompoints_10():
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@image_comparison(baseline_images=['violinplot_horiz_custompoints_200'],
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@@ -233,7 +233,7 @@
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def test_horiz_violinplot_custompoints_200():
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ax = plt.axes()
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# First 9 digits of frac(sqrt(43))
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- @@ -3368,8 +3370,7 @@ def test_vertex_markers():
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+ @@ -3369,8 +3371,7 @@ def test_vertex_markers():
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@image_comparison(baseline_images=['vline_hline_zorder',
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@@ -243,7 +243,7 @@
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def test_eb_line_zorder():
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x = list(range(10))
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- @@ -4049,7 +4050,7 @@ def test_psd_noise():
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+ @@ -4050,7 +4051,7 @@ def test_psd_noise():
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@image_comparison(baseline_images=['csd_freqs'], remove_text=True,
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@@ -252,7 +252,7 @@
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def test_csd_freqs():
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'''test axes.csd with sinusoidal stimuli'''
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n = 10000
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- @@ -4942,7 +4943,7 @@ def test_rc_spines():
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+ @@ -4943,7 +4944,7 @@ def test_rc_spines():
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@image_comparison(baseline_images=['rc_grid'], extensions=['png'],
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@@ -261,7 +261,7 @@
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def test_rc_grid():
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fig = plt.figure()
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rc_dict0 = {
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- @@ -5461,7 +5462,7 @@ def test_date_timezone_y():
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+ @@ -5462,7 +5463,7 @@ def test_date_timezone_y():
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@image_comparison(baseline_images=['date_timezone_x_and_y'],
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@@ -408,7 +408,7 @@
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def test_linestylecycle_basic():
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fig, ax = plt.subplots()
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diff --git a/lib/matplotlib/tests/test_figure.py b/lib/matplotlib/tests/test_figure.py
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- index 7cb5af621..d7d5ba2f0 100644
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+ index 4c688eb05..826b44869 100644
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--- a/lib/matplotlib/tests/test_figure.py
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+++ b/lib/matplotlib/tests/test_figure.py
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@@ -13,8 +13,7 @@ import numpy as np
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@@ -422,10 +422,10 @@
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# Check the figure.align_labels() command
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fig = plt.figure(tight_layout=True)
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diff --git a/lib/matplotlib/tests/test_image.py b/lib/matplotlib/tests/test_image.py
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- index 893108258..b409e9453 100644
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+ index c0ffc061a..ace55c2f5 100644
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--- a/lib/matplotlib/tests/test_image.py
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+++ b/lib/matplotlib/tests/test_image.py
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- @@ -757,7 +757,7 @@ def test_imshow_endianess():
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+ @@ -766,7 +766,7 @@ def test_imshow_endianess():
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@image_comparison(baseline_images=['imshow_masked_interpolation'],
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@@ -654,5 +654,5 @@
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def test_xyz(self):
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fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
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--
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- 2.17.1
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+ 2.20.1
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