Accepting request 1226959 from KDE:Extra

Automatic submission by obs-autosubmit

OBS-URL: https://build.opensuse.org/request/show/1226959
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/kst?expand=0&rev=55

0001-Fix-build-with-CMake-3.20.patch

@@ -1,29 +0,0 @@
-From c1b7769c37c70d189d09d8dc104d0541433b58b6 Mon Sep 17 00:00:00 2001
-From: Christophe Giboudeaux <christophe@krop.fr>
-Date: Wed, 12 May 2021 07:27:48 +0200
-Subject: [PATCH] Fix build with CMake 3.20
-
----
- CMakeLists.txt | 4 ++--
- 1 file changed, 2 insertions(+), 2 deletions(-)
-
-diff --git a/CMakeLists.txt b/CMakeLists.txt
-index dfb3bf8..b7c75f0 100644
---- a/CMakeLists.txt
-+++ b/CMakeLists.txt
-@@ -112,10 +112,10 @@ elseif(kst_3rdparty_download)
-         elseif(GCC_VERSION VERSION_EQUAL 4.7 OR GCC_VERSION VERSION_GREATER 4.7)
-             set(ver 4.7)
-             set(md5 de6e8dbab1bb17eee6057941fddc93e3)
--        else(GCC_VERSION VERSION_EQUAL 4.6 OR GCC_VERSION VERSION_GREATER 4.6)
-+        elseif(GCC_VERSION VERSION_EQUAL 4.6 OR GCC_VERSION VERSION_GREATER 4.6)
-             set(ver 4.6)
-             set(md5 70d8670af9c21eb8fb466654c95d8e4d)
--        else(GCC_VERSION VERSION_GREATER 4.4)
-+        elseif(GCC_VERSION VERSION_GREATER 4.4)
-             set(ver 4.4)
-             set(md5 999248fb40a44543af4dd4cd1be0ceeb)
-         else()
--- 
-2.31.1
-

Fix-build-with-Qt-511.patch

@@ -1,33 +0,0 @@
-commit b438fb0d1c831cb8c024eb4dc644aeb5114074e6
-Author: Christophe Giboudeaux <christophe@krop.fr>
-Date:   Sun Jun 3 19:43:34 2018 +0200
-
-    Fix build with Qt 5.11
-    
-    qt5_use_modules was removed in Qt 5.11. use target_link_libraries instead.
-
-diff --git a/cmake/modules/KstMacros.cmake b/cmake/modules/KstMacros.cmake
-index 4ff9c151..bc3d8a6c 100644
---- a/cmake/modules/KstMacros.cmake
-+++ b/cmake/modules/KstMacros.cmake
-@@ -240,7 +240,7 @@ endmacro()
- macro(kst_link)
- 	target_link_libraries(${kst_name} ${ARGV})
- 	if(kst_qt5)
--		qt5_use_modules(${kst_name} Widgets Xml Network PrintSupport)
-+		target_link_libraries(${kst_name} Qt5::Widgets Qt5::Xml Qt5::Network Qt5::PrintSupport)
- 	else()
- 		target_link_libraries(${kst_name}
- 		${QT_QTCORE_LIBRARY} ${QT_QTGUI_LIBRARY} ${QT_QTXML_LIBRARY} ${QT_QTSVG_LIBRARY} ${QT_QTNETWORK_LIBRARY})
-diff --git a/src/libkstapp/view.h b/src/libkstapp/view.h
-index 95c8c6a5..2af53938 100644
---- a/src/libkstapp/view.h
-+++ b/src/libkstapp/view.h
-@@ -14,6 +14,7 @@
- #define VIEW_H
- 
- #include <QGraphicsView>
-+#include <QMenu>
- 
- #include "kst_export.h"
- 

Kst-2.0.8.tar.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:cefbfd3e3710771985e08f02a397ef8ab407168fa8415d2c3c5740c031af18c6
-size 14527129

gsl2-support.patch

@@ -1,204 +0,0 @@
-From a9d24f91057441bbd2e3ed9e7536b071121526cb Mon Sep 17 00:00:00 2001
-From: "D. V. Wiebe" <dvw@ketiltrout.net>
-Date: Thu, 10 Mar 2016 14:09:26 -0800
-Subject: [PATCH] GSL-2.x support.
-
----
- src/plugins/fits/non_linear.h          | 67 +++++++++++++++++++++-------------
- src/plugins/fits/non_linear_weighted.h | 66 ++++++++++++++++++++-------------
- 2 files changed, 82 insertions(+), 51 deletions(-)
-
-diff --git a/src/plugins/fits/non_linear.h b/src/plugins/fits/non_linear.h
-index 4506704..74e82e7 100644
---- a/src/plugins/fits/non_linear.h
-+++ b/src/plugins/fits/non_linear.h
-@@ -18,6 +18,7 @@
- #include <gsl/gsl_blas.h>
- #include <gsl/gsl_multifit_nlin.h>
- #include <gsl/gsl_statistics.h>
-+#include <gsl/gsl_version.h>
- #include "common.h"
- 
- struct data {
-@@ -100,6 +101,7 @@ bool kstfit_nonlinear(
-   gsl_multifit_function_fdf	function;
-   gsl_vector_view vectorViewInitial;
-   gsl_matrix* pMatrixCovariance;
-+  gsl_matrix *pMatrixJacobian;
-   struct data d;  
-   double dXInitial[NUM_PARAMS];
-   double* pInputX;
-@@ -177,37 +179,50 @@ bool kstfit_nonlinear(
-             }
-             iIterations++;
-           } while( iStatus == GSL_CONTINUE && iIterations < MAX_NUM_ITERATIONS );
--          gsl_multifit_covar( pSolver->J, 0.0, pMatrixCovariance );
--
--          //
--          // determine the fitted values...
--          //
--          for( i=0; i<NUM_PARAMS; i++ ) {
--            dXInitial[i] = gsl_vector_get( pSolver->x, i );
--          }
--
--          for( i=0; i<iLength; i++ ) {
--            vectorOutYFitted->value()[i] = function_calculate( pInputX[i], dXInitial );
--            vectorOutYResiduals->value()[i] = pInputY[i] - vectorOutYFitted->value()[i];
--          }
-+#if GSL_MAJOR_VERSION >= 2
-+          pMatrixJacobian = gsl_matrix_alloc( iLength, NUM_PARAMS );
-+#else
-+          pMatrixJacobian = pSolver->J;
-+#endif
-+          if ( pMatrixJacobian != NULL) {
-+#if GSL_MAJOR_VERSION >= 2
-+            gsl_multifit_fdfsolver_jac( pSolver, pMatrixJacobian );
-+#endif
-+            gsl_multifit_covar( pMatrixJacobian, 0.0, pMatrixCovariance );
-+
-+            //
-+            // determine the fitted values...
-+            //
-+            for( i=0; i<NUM_PARAMS; i++ ) {
-+              dXInitial[i] = gsl_vector_get( pSolver->x, i );
-+            }
- 
--          //
--          // fill in the parameter values and covariance matrix...
--          //
--          for( i=0; i<NUM_PARAMS; i++ ) {
--            vectorOutYParameters->value()[i] = gsl_vector_get( pSolver->x, i );
--            for( j=0; j<NUM_PARAMS; j++ ) {
--              vectorOutYCovariance->value()[(i*NUM_PARAMS)+j] = gsl_matrix_get( pMatrixCovariance, i, j );
-+            for( i=0; i<iLength; i++ ) {
-+              vectorOutYFitted->value()[i] = function_calculate( pInputX[i], dXInitial );
-+              vectorOutYResiduals->value()[i] = pInputY[i] - vectorOutYFitted->value()[i];
-             }
--          }
- 
--          //
--          // determine the value of chi^2/nu
--          //
--          scalarOutChi->setValue(gsl_blas_dnrm2( pSolver->f ));
-+            //
-+            // fill in the parameter values and covariance matrix...
-+            //
-+            for( i=0; i<NUM_PARAMS; i++ ) {
-+              vectorOutYParameters->value()[i] = gsl_vector_get( pSolver->x, i );
-+              for( j=0; j<NUM_PARAMS; j++ ) {
-+                vectorOutYCovariance->value()[(i*NUM_PARAMS)+j] = gsl_matrix_get( pMatrixCovariance, i, j );
-+              }
-+            }
- 
--          bReturn = true;
-+            //
-+            // determine the value of chi^2/nu
-+            //
-+            scalarOutChi->setValue(gsl_blas_dnrm2( pSolver->f ));
- 
-+            bReturn = true;
-+            
-+#if GSL_MAJOR_VERSION >= 2
-+            gsl_matrix_free( pMatrixJacobian );
-+#endif
-+          }
-           gsl_matrix_free( pMatrixCovariance );
-         }
-         gsl_multifit_fdfsolver_free( pSolver );
-diff --git a/src/plugins/fits/non_linear_weighted.h b/src/plugins/fits/non_linear_weighted.h
-index 6ca7d6f..347ae9d 100644
---- a/src/plugins/fits/non_linear_weighted.h
-+++ b/src/plugins/fits/non_linear_weighted.h
-@@ -18,6 +18,7 @@
- #include <gsl/gsl_blas.h>
- #include <gsl/gsl_multifit_nlin.h>
- #include <gsl/gsl_statistics.h>
-+#include <gsl/gsl_version.h>
- #include "common.h"
- 
- struct data {
-@@ -101,6 +102,7 @@ bool kstfit_nonlinear_weighted(
-   gsl_multifit_function_fdf	function;
-   gsl_vector_view vectorViewInitial;
-   gsl_matrix* pMatrixCovariance;
-+  gsl_matrix *pMatrixJacobian;
-   struct data d;  
-   double dXInitial[NUM_PARAMS];
-   double* pInputs[3];
-@@ -193,37 +195,51 @@ bool kstfit_nonlinear_weighted(
-           }
-           while( iStatus == GSL_CONTINUE && iIterations < MAX_NUM_ITERATIONS );
- 
--          gsl_multifit_covar( pSolver->J, 0.0, pMatrixCovariance );
--
--          //
--          // determine the fitted values...
--          //
--          for( i=0; i<NUM_PARAMS; i++ ) {
--            dXInitial[i] = gsl_vector_get( pSolver->x, i );
--          }
-+#if GSL_MAJOR_VERSION >= 2
-+          pMatrixJacobian = gsl_matrix_alloc( iLength, NUM_PARAMS );
-+#else
-+          pMatrixJacobian = pSolver->J;
-+#endif
-+
-+          if ( pMatrixJacobian != NULL) {
-+#if GSL_MAJOR_VERSION >= 2
-+            gsl_multifit_fdfsolver_jac( pSolver, pMatrixJacobian );
-+#endif
-+            gsl_multifit_covar( pMatrixJacobian, 0.0, pMatrixCovariance );
-+
-+            //
-+            // determine the fitted values...
-+            //
-+            for( i=0; i<NUM_PARAMS; i++ ) {
-+              dXInitial[i] = gsl_vector_get( pSolver->x, i );
-+            }
- 
--          for( i=0; i<iLength; i++ ) {
--            vectorOutYFitted->value()[i] = function_calculate( pInputs[XVALUES][i], dXInitial );
--            vectorOutYResiduals->value()[i] = pInputs[YVALUES][i] - vectorOutYFitted->value()[i];
--          }
-+            for( i=0; i<iLength; i++ ) {
-+              vectorOutYFitted->value()[i] = function_calculate( pInputs[XVALUES][i], dXInitial );
-+              vectorOutYResiduals->value()[i] = pInputs[YVALUES][i] - vectorOutYFitted->value()[i];
-+            }
- 
--          //
--          // fill in the parameter values and covariance matrix...
--          //
--          for( i=0; i<NUM_PARAMS; i++ ) {
--            vectorOutYParameters->value()[i] = gsl_vector_get( pSolver->x, i );
--            for( j=0; j<NUM_PARAMS; j++ ) {
--              vectorOutYCovariance->value()[(i*NUM_PARAMS)+j] = gsl_matrix_get( pMatrixCovariance, i, j );
-+            //
-+            // fill in the parameter values and covariance matrix...
-+            //
-+            for( i=0; i<NUM_PARAMS; i++ ) {
-+              vectorOutYParameters->value()[i] = gsl_vector_get( pSolver->x, i );
-+              for( j=0; j<NUM_PARAMS; j++ ) {
-+                vectorOutYCovariance->value()[(i*NUM_PARAMS)+j] = gsl_matrix_get( pMatrixCovariance, i, j );
-+              }
-             }
--          }
- 
--          //
--          // determine the value of chi^2/nu
--          //
--          scalarOutChi->setValue(gsl_blas_dnrm2( pSolver->f ));
-+            //
-+            // determine the value of chi^2/nu
-+            //
-+            scalarOutChi->setValue(gsl_blas_dnrm2( pSolver->f ));
- 
--          bReturn = true;
-+            bReturn = true;
- 
-+#if GSL_MAJOR_VERSION >= 2
-+            gsl_matrix_free( pMatrixJacobian );
-+#endif
-+          }
-           gsl_matrix_free( pMatrixCovariance );
-         }
-         gsl_multifit_fdfsolver_free( pSolver );