diff --git a/extern/agg24-svn/include/agg_image_filters.h b/extern/agg24-svn/include/agg_image_filters.h index 8e1bc8f0dba4..f3984a9faa9d 100644 --- a/extern/agg24-svn/include/agg_image_filters.h +++ b/extern/agg24-svn/include/agg_image_filters.h @@ -20,6 +20,8 @@ #ifndef AGG_IMAGE_FILTERS_INCLUDED #define AGG_IMAGE_FILTERS_INCLUDED +#define MPL_FIX_IMAGE_FILTER_LUT_BUGS + #include "agg_array.h" #include "agg_math.h" @@ -53,6 +55,7 @@ namespace agg double r = filter.radius(); realloc_lut(r); unsigned i; +#ifndef MPL_FIX_IMAGE_FILTER_LUT_BUGS unsigned pivot = diameter() << (image_subpixel_shift - 1); for(i = 0; i < pivot; i++) { @@ -63,6 +66,17 @@ namespace agg } unsigned end = (diameter() << image_subpixel_shift) - 1; m_weight_array[0] = m_weight_array[end]; +#else + unsigned pivot = (diameter() << (image_subpixel_shift - 1)) - 1; + for(i = 0; i <= pivot + 1; i++) + { + double x = double(i) / double(image_subpixel_scale); + double y = filter.calc_weight(x); + int16 value = iround(y * image_filter_scale); + m_weight_array[pivot + i] = value; + if(i <= pivot) m_weight_array[pivot - i] = value; + } +#endif if(normalization) { normalize(); diff --git a/extern/agg24-svn/src/agg_image_filters.cpp b/extern/agg24-svn/src/agg_image_filters.cpp index 549d9adbf5af..93a6ae260d4b 100644 --- a/extern/agg24-svn/src/agg_image_filters.cpp +++ b/extern/agg24-svn/src/agg_image_filters.cpp @@ -88,6 +88,7 @@ namespace agg } } +#ifndef MPL_FIX_IMAGE_FILTER_LUT_BUGS unsigned pivot = m_diameter << (image_subpixel_shift - 1); for(i = 0; i < pivot; i++) @@ -96,6 +97,7 @@ namespace agg } unsigned end = (diameter() << image_subpixel_shift) - 1; m_weight_array[0] = m_weight_array[end]; +#endif } diff --git a/lib/matplotlib/tests/baseline_images/test_axes/fill_units.png b/lib/matplotlib/tests/baseline_images/test_axes/fill_units.png index 497154993f93..d101aec7a5b9 100644 Binary files a/lib/matplotlib/tests/baseline_images/test_axes/fill_units.png and 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c9e9f343c5db..8158cae3b1c3 100644 Binary files a/lib/matplotlib/tests/baseline_images/test_image/image_composite_alpha.png and b/lib/matplotlib/tests/baseline_images/test_image/image_composite_alpha.png differ diff --git a/lib/matplotlib/tests/baseline_images/test_image/image_composite_alpha.svg b/lib/matplotlib/tests/baseline_images/test_image/image_composite_alpha.svg index 7f1678715ba3..89b6db375e62 100644 --- a/lib/matplotlib/tests/baseline_images/test_image/image_composite_alpha.svg +++ b/lib/matplotlib/tests/baseline_images/test_image/image_composite_alpha.svg @@ -1,12 +1,23 @@ - - + + + + + + 2025-06-18T20:53:42.514906 + image/svg+xml + + + Matplotlib v3.11.0.dev981+gea2fd64a3f, https://matplotlib.org/ + + + + + - + @@ -15,7 +26,7 @@ L 576 432 L 576 0 L 0 0 z -" style="fill:#ffffff;"/> +" style="fill: #ffffff"/> @@ -24,112 +35,112 @@ L 468 388.8 L 468 43.2 L 122.4 43.2 z -" style="fill:#008000;"/> +" style="fill: #008000"/> - - + + +" style="fill: none; stroke: #000000; stroke-linejoin: miter; stroke-linecap: square"/> +" style="fill: none; stroke: #000000; stroke-linejoin: miter; stroke-linecap: square"/> +" style="fill: none; stroke: #000000; stroke-linejoin: miter; stroke-linecap: square"/> +" style="fill: none; stroke: #000000; stroke-linejoin: miter; stroke-linecap: square"/> - +" style="stroke: #000000; stroke-width: 0.5"/> - + - +" style="stroke: #000000; stroke-width: 0.5"/> - + - + - + - + - + - + - + - + - + - + - + @@ -138,82 +149,82 @@ L 0 4 - +" style="stroke: #000000; stroke-width: 0.5"/> - + - +" style="stroke: #000000; stroke-width: 0.5"/> - + - + - + - + - + - + - + - + - + - + - + @@ -221,8 +232,8 @@ L -4 0 - - + + diff --git a/lib/matplotlib/tests/baseline_images/test_image/imshow_masked_interpolation.pdf b/lib/matplotlib/tests/baseline_images/test_image/imshow_masked_interpolation.pdf index 0342a2baa4b2..78ac7bb90ce1 100644 Binary files a/lib/matplotlib/tests/baseline_images/test_image/imshow_masked_interpolation.pdf and b/lib/matplotlib/tests/baseline_images/test_image/imshow_masked_interpolation.pdf differ diff --git a/lib/matplotlib/tests/baseline_images/test_image/imshow_masked_interpolation.png b/lib/matplotlib/tests/baseline_images/test_image/imshow_masked_interpolation.png index 9e68784cff4f..2a98fe37dfa4 100644 Binary files a/lib/matplotlib/tests/baseline_images/test_image/imshow_masked_interpolation.png and b/lib/matplotlib/tests/baseline_images/test_image/imshow_masked_interpolation.png differ diff --git a/lib/matplotlib/tests/baseline_images/test_image/imshow_masked_interpolation.svg b/lib/matplotlib/tests/baseline_images/test_image/imshow_masked_interpolation.svg index c0385c18467c..1044bf63e644 100644 --- a/lib/matplotlib/tests/baseline_images/test_image/imshow_masked_interpolation.svg +++ b/lib/matplotlib/tests/baseline_images/test_image/imshow_masked_interpolation.svg @@ -6,11 +6,11 @@ - 2024-04-23T11:45:45.434641 + 2025-06-18T20:53:49.642534 image/svg+xml - Matplotlib v3.9.0.dev1543+gdd88cca65b.d20240423, https://matplotlib.org/ + Matplotlib v3.11.0.dev981+gea2fd64a3f, https://matplotlib.org/ @@ -29,167 +29,167 @@ z " style="fill: #ffffff"/> - + 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99bab74390b8..1f4efa2236d9 100644 Binary files a/lib/matplotlib/tests/baseline_images/test_usetex/rotation.png and b/lib/matplotlib/tests/baseline_images/test_usetex/rotation.png differ diff --git a/lib/matplotlib/tests/test_image.py b/lib/matplotlib/tests/test_image.py index 1c89bc5e7912..5a91d0a9008d 100644 --- a/lib/matplotlib/tests/test_image.py +++ b/lib/matplotlib/tests/test_image.py @@ -1645,19 +1645,26 @@ def test__resample_valid_output(): [(np.array([[0.1, 0.3, 0.2]]), mimage.NEAREST, np.array([[0.1, 0.1, 0.1, 0.3, 0.3, 0.3, 0.3, 0.2, 0.2, 0.2]])), (np.array([[0.1, 0.3, 0.2]]), mimage.BILINEAR, - np.array([[0.1, 0.1, 0.15078125, 0.21096191, 0.27033691, - 0.28476562, 0.2546875, 0.22460938, 0.20002441, 0.20002441]])), + np.array([[0.1, 0.1, 0.15, 0.21, 0.27, 0.285, 0.255, 0.225, 0.2, 0.2]])), + (np.array([[0.1, 0.9]]), mimage.BILINEAR, + np.array([[0.1, 0.1, 0.1, 0.1, 0.1, 0.14, 0.22, 0.3, 0.38, 0.46, + 0.54, 0.62, 0.7, 0.78, 0.86, 0.9, 0.9, 0.9, 0.9, 0.9]])), + (np.array([[0.1, 0.1]]), mimage.BILINEAR, np.full((1, 10), 0.1)), ] ) def test_resample_nonaffine(data, interpolation, expected): - # Test that equivalent affine and nonaffine transforms resample the same + # Test that both affine and nonaffine transforms resample to the correct answer + + # If the array is constant, the tolerance can be tight + # Otherwise, the tolerance is limited by the subpixel approach in the agg backend + atol = 0 if np.all(data == data.ravel()[0]) else 2e-3 # Create a simple affine transform for scaling the input array affine_transform = Affine2D().scale(sx=expected.shape[1] / data.shape[1], sy=1) affine_result = np.empty_like(expected) mimage.resample(data, affine_result, affine_transform, interpolation=interpolation) - assert_allclose(affine_result, expected) + assert_allclose(affine_result, expected, atol=atol) # Create a nonaffine version of the same transform # by compositing with a nonaffine identity transform @@ -1666,13 +1673,13 @@ class NonAffineIdentityTransform(Transform): output_dims = 2 def inverted(self): - return self + return self nonaffine_transform = NonAffineIdentityTransform() + affine_transform nonaffine_result = np.empty_like(expected) mimage.resample(data, nonaffine_result, nonaffine_transform, interpolation=interpolation) - assert_allclose(nonaffine_result, expected, atol=5e-3) + assert_allclose(nonaffine_result, expected, atol=atol) def test_axesimage_get_shape(): diff --git a/lib/matplotlib/tests/test_multivariate_colormaps.py b/lib/matplotlib/tests/test_multivariate_colormaps.py index 81a2e6adeb35..b8c2f22ebcb4 100644 --- a/lib/matplotlib/tests/test_multivariate_colormaps.py +++ b/lib/matplotlib/tests/test_multivariate_colormaps.py @@ -315,14 +315,14 @@ def test_bivar_cmap_call(): # test origin cmap = mpl.bivar_colormaps['BiOrangeBlue'].with_extremes(origin=(0.5, 0.5)) assert_allclose(cmap[0](0.5), - (0.50244140625, 0.5024222412109375, 0.50244140625, 1)) + (0.501953125, 0.501937744140625, 0.501953125, 1)) assert_allclose(cmap[1](0.5), - (0.50244140625, 0.5024222412109375, 0.50244140625, 1)) + (0.501953125, 0.501937744140625, 0.501953125, 1)) cmap = mpl.bivar_colormaps['BiOrangeBlue'].with_extremes(origin=(1, 1)) assert_allclose(cmap[0](1.), - (0.99853515625, 0.9985467529296875, 0.99853515625, 1.0)) + (0.998046875, 0.998062255859375, 0.998046875, 1.0)) assert_allclose(cmap[1](1.), - (0.99853515625, 0.9985467529296875, 0.99853515625, 1.0)) + (0.998046875, 0.998062255859375, 0.998046875, 1.0)) with pytest.raises(KeyError, match="only 0 or 1 are valid keys"): cs = cmap[2] diff --git a/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axis_artist/axis_artist.png b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axis_artist/axis_artist.png index 29ddf31eb664..fdca5d293a67 100644 Binary files a/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axis_artist/axis_artist.png and b/lib/mpl_toolkits/axisartist/tests/baseline_images/test_axis_artist/axis_artist.png 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agg::image_subpixel_scale + 0.5); // round } } }