Accept some baseline changes.

In particular, the ones for mplot3d seem correct (the contours are now
drawn from bottom to top).

Author: anntzer

lib/matplotlib/tests/baseline_images/test_axes/contour_colorbar.pdf

@@ -2348,7 +2348,7 @@ def contour_dat():
     return x, y, z
 
 
-@image_comparison(['contour_hatching'], remove_text=True, style='mpl20', tol=0.06)
+@image_comparison(['contour_hatching'], remove_text=True, style='mpl20')
 def test_contour_hatching():
     x, y, z = contour_dat()
     fig, ax = plt.subplots()
@@ -2357,7 +2357,9 @@ def test_contour_hatching():
                 extend='both', alpha=0.5)
 
 
-@image_comparison(['contour_colorbar'], style='mpl20', tol=1.6)
+@image_comparison(
+    ['contour_colorbar'], style='mpl20',
+    tol=0.02 if platform.machine() in ('aarch64', 'ppc64le', 's390x') else 0)
 def test_contour_colorbar():
     x, y, z = contour_dat()
 

lib/matplotlib/tests/baseline_images/test_axes/contour_colorbar.svg

@@ -186,7 +186,7 @@ def test_set_drawstyle():
 
 @image_comparison(
     ['line_collection_dashes'], remove_text=True, style='mpl20',
-    tol=0.65 if platform.machine() in ('aarch64', 'ppc64le', 's390x') else 0.23)
+    tol=0.65 if platform.machine() in ('aarch64', 'ppc64le', 's390x') else 0)
 def test_set_line_coll_dash_image():
     fig, ax = plt.subplots()
     np.random.seed(0)

lib/matplotlib/tests/baseline_images/test_axes/contour_hatching.svg

@@ -25,7 +25,7 @@ def test_patheffect1():
     ax1.grid(True, linestyle="-", path_effects=pe)
 
 
-@image_comparison(['patheffect2'], remove_text=True, style='mpl20', tol=0.03)
+@image_comparison(['patheffect2'], remove_text=True, style='mpl20')
 def test_patheffect2():
 
     ax2 = plt.subplot()
@@ -114,7 +114,7 @@ def test_SimplePatchShadow_offset():
     assert pe._offset == (4, 5)
 
 
-@image_comparison(['collection'], tol=5.1, style='mpl20')
+@image_comparison(['collection'], tol=0.03, 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)

lib/matplotlib/tests/baseline_images/test_lines/line_collection_dashes.png

@@ -58,11 +58,8 @@ def test_Axes():
 
 
 @image_comparison(['ParasiteAxesAuxTrans_meshplot.png'],
-                  remove_text=True, style='default', tol=0.31)
+                  remove_text=True, style='default', tol=0.075)
 def test_ParasiteAxesAuxTrans():
-    # Remove this line when this test image is regenerated.
-    plt.rcParams['pcolormesh.snap'] = False
-
     data = np.ones((6, 6))
     data[2, 2] = 2
     data[0, :] = 0

lib/matplotlib/tests/baseline_images/test_lines/line_collection_dashes.svg

@@ -205,7 +205,7 @@ def test_bar3d_lightsource():
     np.testing.assert_array_max_ulp(color, collection._facecolor3d[1::6], 4)
 
 
-@mpl3d_image_comparison(['contour3d.png'], style='mpl20', tol=1.7)
+@mpl3d_image_comparison(['contour3d.png'], style='mpl20')
 def test_contour3d():
     fig = plt.figure()
     ax = fig.add_subplot(projection='3d')
@@ -285,7 +285,7 @@ def test_contourf3d_extend(fig_test, fig_ref, extend, levels):
         ax.set_zlim(-10, 10)
 
 
-@mpl3d_image_comparison(['tricontour.png'], tol=0.9, style='mpl20')
+@mpl3d_image_comparison(['tricontour.png'], tol=0.02, style='mpl20')
 def test_tricontour():
     fig = plt.figure()