From d2e43768d0e4e80a9ca7830ac339f5af91e905b6 Mon Sep 17 00:00:00 2001
From: Rmys <muscnsl@hotmail.com>
Date: Mon, 3 Sep 2018 17:50:28 +0300
Subject: [PATCH] vigra:ver.bump

---
 ...ix-incorrect-template-parameter-type.patch | 139 ++++++++++++++++++
 programming/misc/vigra/pspec.xml              |  10 +-
 2 files changed, 148 insertions(+), 1 deletion(-)
 create mode 100644 programming/misc/vigra/files/fix-incorrect-template-parameter-type.patch

diff --git a/programming/misc/vigra/files/fix-incorrect-template-parameter-type.patch b/programming/misc/vigra/files/fix-incorrect-template-parameter-type.patch
new file mode 100644
index 0000000000..88ed61ee37
--- /dev/null
+++ b/programming/misc/vigra/files/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>())
diff --git a/programming/misc/vigra/pspec.xml b/programming/misc/vigra/pspec.xml
index 4c0805cbe4..25bac49a34 100644
--- a/programming/misc/vigra/pspec.xml
+++ b/programming/misc/vigra/pspec.xml
@@ -12,7 +12,7 @@
         <IsA>library</IsA>
         <Summary>Generic programming library for computer vision</Summary>
         <Description>vigra stands for "Vision with Generic Algorithms". It's a novel computer vision library that puts its main emphasis on customizable algorithms and data structures.</Description>
-        <Archive sha1sum="67788d181e759e625769bf0678887718d3dc02e2" type="targz">https://github.com/ukoethe/vigra/archive/Version-1-11-0.tar.gz</Archive>
+        <Archive sha1sum="518c7a9ef0e26e39563aeebf22bcee55a7d257c8" type="targz">https://github.com/ukoethe/vigra/archive/Version-1-11-1.tar.gz</Archive>
         <BuildDependencies>
             <Dependency>cmake</Dependency>
             <Dependency>doxygen</Dependency>
@@ -37,6 +37,7 @@
         </BuildDependencies>
         <Patches>
             <Patch level="1">disable-doc.patch</Patch>
+            <Patch level="1">fix-incorrect-template-parameter-type.patch</Patch>
         </Patches>
     </Source>
 
@@ -74,6 +75,13 @@
     </Package>
 
     <History>
+        <Update release="7">
+            <Date>2018-09-03</Date>
+            <Version>1.11.1</Version>
+            <Comment>Version Bump.</Comment>
+            <Name>Mustafa Cinasal</Name>
+            <Email>muscnsl@gmail.com</Email>
+        </Update>
         <Update release="6">
             <Date>2018-09-01</Date>
             <Version>1.11.0</Version>