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author | Craig Andrews <candrews@gentoo.org> | 2018-11-09 16:27:39 -0500 |
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committer | Craig Andrews <candrews@gentoo.org> | 2018-11-19 15:13:07 -0500 |
commit | e2caaa6f7abb46ec70732b82a5bdd7bb00f058dd (patch) | |
tree | 56fbd6505d70652557980948dacc1c777f00b1a2 /media-libs/vigra/files | |
parent | app-admin/puppet: fix post_install for 5.7.7 (diff) | |
download | gentoo-e2caaa6f7abb46ec70732b82a5bdd7bb00f058dd.tar.gz gentoo-e2caaa6f7abb46ec70732b82a5bdd7bb00f058dd.tar.bz2 gentoo-e2caaa6f7abb46ec70732b82a5bdd7bb00f058dd.zip |
media-libs/vigra: Fix compilation error and add -9999
Closes: https://bugs.gentoo.org/664720
Package-Manager: Portage-2.3.51, Repoman-2.3.12
Signed-off-by: Craig Andrews <candrews@gentoo.org>
Diffstat (limited to 'media-libs/vigra/files')
-rw-r--r-- | media-libs/vigra/files/vigra-1.11.1-fix-incorrect-template-parameter-type.patch | 139 |
1 files changed, 139 insertions, 0 deletions
diff --git a/media-libs/vigra/files/vigra-1.11.1-fix-incorrect-template-parameter-type.patch b/media-libs/vigra/files/vigra-1.11.1-fix-incorrect-template-parameter-type.patch new file mode 100644 index 000000000000..88ed61ee374c --- /dev/null +++ b/media-libs/vigra/files/vigra-1.11.1-fix-incorrect-template-parameter-type.patch @@ -0,0 +1,139 @@ +From 81958d302494e137f98a8b1d7869841532f90388 Mon Sep 17 00:00:00 2001 +From: JaimeIvanCervantes <jimmycc80@hotmail.com> +Date: Fri, 16 Jun 2017 13:21:45 -0700 +Subject: [PATCH] multi_convolution: Fix for incorrect template parameter type + when using unsigned int N for TinyVector SIZE. (Fixes #414) + +--- + include/vigra/multi_convolution.hxx | 28 ++++++++++++++-------------- + 1 file changed, 14 insertions(+), 14 deletions(-) + +diff --git a/include/vigra/multi_convolution.hxx b/include/vigra/multi_convolution.hxx +index 1b5efa740..ec89bcf58 100644 +--- a/include/vigra/multi_convolution.hxx ++++ b/include/vigra/multi_convolution.hxx +@@ -1426,7 +1426,7 @@ gaussianSmoothMultiArray(MultiArrayView<N, T1, S1> const & source, + class T2, class S2> + void + gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source, +- MultiArrayView<N, TinyVector<T2, N>, S2> dest, ++ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest, + double sigma, + ConvolutionOptions<N> opt = ConvolutionOptions<N>()); + +@@ -1435,7 +1435,7 @@ gaussianSmoothMultiArray(MultiArrayView<N, T1, S1> const & source, + class T2, class S2> + void + gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source, +- MultiArrayView<N, TinyVector<T2, N>, S2> dest, ++ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest, + ConvolutionOptions<N> opt); + + // likewise, but execute algorithm in parallel +@@ -1443,7 +1443,7 @@ gaussianSmoothMultiArray(MultiArrayView<N, T1, S1> const & source, + class T2, class S2> + void + gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source, +- MultiArrayView<N, TinyVector<T2, N>, S2> dest, ++ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest, + BlockwiseConvolutionOptions<N> opt); + } + \endcode +@@ -1590,7 +1590,7 @@ template <unsigned int N, class T1, class S1, + class T2, class S2> + inline void + gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source, +- MultiArrayView<N, TinyVector<T2, N>, S2> dest, ++ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest, + ConvolutionOptions<N> opt ) + { + if(opt.to_point != typename MultiArrayShape<N>::type()) +@@ -1614,7 +1614,7 @@ template <unsigned int N, class T1, class S1, + class T2, class S2> + inline void + gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source, +- MultiArrayView<N, TinyVector<T2, N>, S2> dest, ++ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest, + double sigma, + ConvolutionOptions<N> opt = ConvolutionOptions<N>()) + { +@@ -1653,7 +1653,7 @@ gaussianGradientMagnitudeImpl(MultiArrayView<N+1, T1, S1> const & src, + dest.init(0.0); + + typedef typename NumericTraits<T1>::RealPromote TmpType; +- MultiArray<N, TinyVector<TmpType, N> > grad(dest.shape()); ++ MultiArray<N, TinyVector<TmpType, int(N)> > grad(dest.shape()); + + using namespace multi_math; + +@@ -1771,7 +1771,7 @@ gaussianGradientMagnitude(MultiArrayView<N+1, Multiband<T1>, S1> const & src, + class T2, class S2> + void + symmetricGradientMultiArray(MultiArrayView<N, T1, S1> const & source, +- MultiArrayView<N, TinyVector<T2, N>, S2> dest, ++ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest, + ConvolutionOptions<N> opt = ConvolutionOptions<N>()); + + // execute algorithm in parallel +@@ -1779,7 +1779,7 @@ gaussianGradientMagnitude(MultiArrayView<N+1, Multiband<T1>, S1> const & src, + class T2, class S2> + void + symmetricGradientMultiArray(MultiArrayView<N, T1, S1> const & source, +- MultiArrayView<N, TinyVector<T2, N>, S2> dest, ++ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest, + BlockwiseConvolutionOptions<N> opt); + } + \endcode +@@ -1895,7 +1895,7 @@ template <unsigned int N, class T1, class S1, + class T2, class S2> + inline void + symmetricGradientMultiArray(MultiArrayView<N, T1, S1> const & source, +- MultiArrayView<N, TinyVector<T2, N>, S2> dest, ++ MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest, + ConvolutionOptions<N> opt = ConvolutionOptions<N>()) + { + if(opt.to_point != typename MultiArrayShape<N>::type()) +@@ -2214,14 +2214,14 @@ laplacianOfGaussianMultiArray(MultiArrayView<N, T1, S1> const & source, + template <unsigned int N, class T1, class S1, + class T2, class S2> + void +- gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField, ++ gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField, + MultiArrayView<N, T2, S2> divergence, + ConvolutionOptions<N> const & opt); + + template <unsigned int N, class T1, class S1, + class T2, class S2> + void +- gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField, ++ gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField, + MultiArrayView<N, T2, S2> divergence, + double sigma, + ConvolutionOptions<N> opt = ConvolutionOptions<N>()); +@@ -2231,7 +2231,7 @@ laplacianOfGaussianMultiArray(MultiArrayView<N, T1, S1> const & source, + template <unsigned int N, class T1, class S1, + class T2, class S2> + void +- gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField, ++ gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField, + MultiArrayView<N, T2, S2> divergence, + BlockwiseConvolutionOptions<N> const & opt); + } +@@ -2324,7 +2324,7 @@ gaussianDivergenceMultiArray(Iterator vectorField, Iterator vectorFieldEnd, + template <unsigned int N, class T1, class S1, + class T2, class S2> + inline void +-gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField, ++gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField, + MultiArrayView<N, T2, S2> divergence, + ConvolutionOptions<N> const & opt) + { +@@ -2338,7 +2338,7 @@ gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & ve + template <unsigned int N, class T1, class S1, + class T2, class S2> + inline void +-gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField, ++gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField, + MultiArrayView<N, T2, S2> divergence, + double sigma, + ConvolutionOptions<N> opt = ConvolutionOptions<N>()) |