automatic version update by autodist [release 2.42-1mamba;Sun Feb 07 2021]
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# liblinear
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# liblinear
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liblinear is a simple package for solving large-scale regularized linear classification and regression.
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It currently supports:
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- L2-regularized logistic regression/L2-loss support vector classification/L1-loss support vector classification
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- L1-regularized L2-loss support vector classification/L1-regularized logistic regression
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- L2-regularized L2-loss support vector regression/L1-loss support vector regression.
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53
liblinear-1.96.makefile.patch
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53
liblinear-1.96.makefile.patch
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--- liblinear-1.96/Makefile 2015-03-22 00:49:07.000000000 +0100
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+++ liblinear-1.96/Makefile.linux 2015-03-22 09:29:55.001697676 +0100
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@@ -1,37 +1,26 @@
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CXX ?= g++
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-CC ?= gcc
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-CFLAGS = -Wall -Wconversion -O3 -fPIC
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-LIBS = blas/blas.a
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+CFLAGS_ADD = -Wall -Wconversion -O3 -fPIC
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+LIBS = -lblas
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SHVER = 2
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-OS = $(shell uname)
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-#LIBS = -lblas
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+SHARED_LIB_FLAGS= -shared -Wl,-soname,liblinear.so.$(SHVER)
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all: train predict
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-lib: linear.o tron.o blas/blas.a
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- if [ "$(OS)" = "Darwin" ]; then \
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- SHARED_LIB_FLAG="-dynamiclib -Wl,-install_name,liblinear.so.$(SHVER)"; \
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- else \
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- SHARED_LIB_FLAG="-shared -Wl,-soname,liblinear.so.$(SHVER)"; \
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- fi; \
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- $(CXX) $${SHARED_LIB_FLAG} linear.o tron.o blas/blas.a -o liblinear.so.$(SHVER)
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+lib: linear.o tron.o
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+ $(CXX) $(SHARED_LIB_FLAGS) $(LDFLAGS) $(LIBS) linear.o tron.o -o liblinear.so.$(SHVER)
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+ ln -fs liblinear.so.$(SHVER) liblinear.so
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-train: tron.o linear.o train.c blas/blas.a
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- $(CXX) $(CFLAGS) -o train train.c tron.o linear.o $(LIBS)
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+train: lib train.c
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+ $(CXX) $(CFLAGS_ADD) $(CFLAGS) -o train train.c -L. -llinear
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-predict: tron.o linear.o predict.c blas/blas.a
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- $(CXX) $(CFLAGS) -o predict predict.c tron.o linear.o $(LIBS)
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+predict: lib predict.c
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+ $(CXX) $(CFLAGS_ADD) $(CFLAGS) -o predict predict.c -L. -llinear
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tron.o: tron.cpp tron.h
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- $(CXX) $(CFLAGS) -c -o tron.o tron.cpp
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+ $(CXX) $(CFLAGS_ADD) $(CFLAGS) -c -o tron.o tron.cpp
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linear.o: linear.cpp linear.h
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- $(CXX) $(CFLAGS) -c -o linear.o linear.cpp
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-
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-blas/blas.a: blas/*.c blas/*.h
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- make -C blas OPTFLAGS='$(CFLAGS)' CC='$(CC)';
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+ $(CXX) $(CFLAGS_ADD) $(CFLAGS) -c -o linear.o linear.cpp
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clean:
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- make -C blas clean
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- make -C matlab clean
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- rm -f *~ tron.o linear.o train predict liblinear.so.$(SHVER)
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+ rm -f *~ tron.o linear.o train predict liblinear.so*
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135
liblinear.spec
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liblinear.spec
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Name: liblinear
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Version: 2.42
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Release: 1mamba
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Summary: Development/Libraries
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Group: System/Libraries
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Vendor: openmamba
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Distribution: openmamba
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Packager: Davide Madrisan <davide.madrisan@gmail.com>
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URL: https://www.csie.ntu.edu.tw/~cjlin/liblinear
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## GITSOURCE https://github.com/cjlin1/liblinear.git v196
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Source: https://github.com/cjlin1/liblinear.git/v196/liblinear-%{version}.tar.bz2
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Patch0: liblinear-1.96.makefile.patch
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License: BSD
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## AUTOBUILDREQ-BEGIN
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BuildRequires: glibc-devel
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BuildRequires: libblas-devel
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BuildRequires: libgcc
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#BuildRequires: libpython-devel
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BuildRequires: libstdc++6-devel
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## AUTOBUILDREQ-END
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BuildRequires: gcc-c++
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BuildRoot: %{_tmppath}/%{name}-%{version}-root
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%description
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liblinear is a simple package for solving large-scale regularized linear classification and regression.
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It currently supports:
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- L2-regularized logistic regression/L2-loss support vector classification/L1-loss support vector classification
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- L1-regularized L2-loss support vector classification/L1-regularized logistic regression
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- L2-regularized L2-loss support vector regression/L1-loss support vector regression.
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%package devel
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Group: Development/Libraries
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Summary: Development files for %{name}
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Requires: %{name} = %{?epoch:%epoch:}%{version}-%{release}
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Requires: pkg-config
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%description devel
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This package contains libraries and header files for developing applications that use %{name}.
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%package tools
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Group: Applications/Mathematics
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Summary: Utility applications for %{name}
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Requires: %{name} = %{?epoch:%epoch:}%{version}-%{release}
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%description tools
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This package contains utility applications for %{name}.
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%package -n python-%{name}
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Group: Development/Libraries/Python
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Summary: Python bindings for %{name}
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Requires: %{name} = %{?epoch:%epoch:}%{version}-%{release}
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Requires: python
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%description -n python-%{name}
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%{summary}.
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%prep
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%setup -q
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%patch0 -p1
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rm -rf blas/ windows/
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# add pkg-config file
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cat << _EOF >> %{name}.pc
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Name: %{name}
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Description: Library for Large Linear Classification
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URL: %{url}
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Version: 2.42
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prefix=%{_prefix}
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includedir=%{_includedir}
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Cflags: -I\${includedir}/liblinear
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Libs: -llinear
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_EOF
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%build
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CFLAGS="%optflags -O3"; export CFLAGS
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%make all lib
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python -m compileall -l python
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%install
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[ "%{buildroot}" != / ] && rm -rf "%{buildroot}"
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mkdir -p %{buildroot}%{_bindir}
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install -m 0755 predict %{buildroot}%{_bindir}/%{name}-predict
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install -m 0755 train %{buildroot}%{_bindir}/%{name}-train
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mkdir -p %{buildroot}%{_libdir}
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install liblinear.so* %{buildroot}%{_libdir}/
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mkdir -p %{buildroot}%{_libdir}/pkgconfig
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install -m 0644 %{name}.pc %{buildroot}%{_libdir}/pkgconfig/
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mkdir -p %{buildroot}%{_includedir}/%{name}
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install -m 0644 {linear,tron}.h %{buildroot}%{_includedir}/%{name}/
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mkdir -p %{buildroot}%{python_sitearch}
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install -m 0644 python/*.py* %{buildroot}%{python_sitearch}/
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%clean
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[ "%{buildroot}" != / ] && rm -rf "%{buildroot}"
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%post -p /sbin/ldconfig
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%postun -p /sbin/ldconfig
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%files
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%defattr(-,root,root)
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%{_libdir}/*.so.*
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%files devel
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%defattr(-,root,root)
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%{_includedir}/%{name}
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%{_libdir}/%{name}.so
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%{_libdir}/pkgconfig/%{name}.pc
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%doc README
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%files tools
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%defattr(-,root,root)
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%{_bindir}/%{name}-predict
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%{_bindir}/%{name}-train
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%files -n python-%{name}
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%defattr(-,root,root)
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%{python_sitearch}/*
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%changelog
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* Sun Feb 07 2021 Automatic Build System <autodist@mambasoft.it> 2.42-1mamba
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- automatic version update by autodist
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* Sun Mar 22 2015 Davide Madrisan <davide.madrisan@gmail.com> 1.96-2mamba
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- python-%{name}: provide the .pyc files
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* Sun Mar 22 2015 Davide Madrisan <davide.madrisan@gmail.com> 1.96-1mamba
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- package created by autospec
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