From 38a46a59efa88cdf21cae7293415545a26038e66 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Tue, 20 Jun 2023 09:21:26 +0000 Subject: automatic import of python-scikit-weak --- .gitignore | 1 + python-scikit-weak.spec | 177 ++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 179 insertions(+) create mode 100644 python-scikit-weak.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..fed6083 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/scikit-weak-0.2.1.tar.gz diff --git a/python-scikit-weak.spec b/python-scikit-weak.spec new file mode 100644 index 0000000..117ea81 --- /dev/null +++ b/python-scikit-weak.spec @@ -0,0 +1,177 @@ +%global _empty_manifest_terminate_build 0 +Name: python-scikit-weak +Version: 0.2.1 +Release: 1 +Summary: A package featuring utilities and algorithms for weakly supervised ML. +License: LICENSE.txt +URL: https://pypi.org/project/scikit-weak/ +Source0: https://mirrors.aliyun.com/pypi/web/packages/49/6c/284478de71eb54c46e9ac263a5835abaaae852a40eb38bf4d99989e6dd47/scikit-weak-0.2.1.tar.gz +BuildArch: noarch + + +%description +# scikit-weak (scikit-weakly-supervised) + +![scikit-weak logo](images/scikit_weak_logo.png) + + A package featuring utilities and algorithms for weakly supervised ML. + Should be (more-or-less) compatible with scikit-learn! + It collects original algorithms and methods developed by the contributors, + as well as some algorithms available in the literature. + + Current contributors: + - Andrea Campagner, MUDI Lab, University of Milano-Bicocca + - Julian Lienen, Paderborn University + + ## How to install + You can install the library using the command: + + ``` + pip install scikit-weak + ``` + + ### Dependencies: + numpy, scipy, scikit-learn, tensorflow, keras, pytest + + ## Documentation + The documentation is generated using Sphinx (https://www.sphinx-doc.org/). + If you download the source code from this repository you can generate the documentation in html format by typing: + ``` + pip install sphinx-rtd-theme + sphinx-build -b html docs/source docs/build/html + ``` + in the main folder of the project. + + + + + + +%package -n python3-scikit-weak +Summary: A package featuring utilities and algorithms for weakly supervised ML. +Provides: python-scikit-weak +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-scikit-weak +# scikit-weak (scikit-weakly-supervised) + +![scikit-weak logo](images/scikit_weak_logo.png) + + A package featuring utilities and algorithms for weakly supervised ML. + Should be (more-or-less) compatible with scikit-learn! + It collects original algorithms and methods developed by the contributors, + as well as some algorithms available in the literature. + + Current contributors: + - Andrea Campagner, MUDI Lab, University of Milano-Bicocca + - Julian Lienen, Paderborn University + + ## How to install + You can install the library using the command: + + ``` + pip install scikit-weak + ``` + + ### Dependencies: + numpy, scipy, scikit-learn, tensorflow, keras, pytest + + ## Documentation + The documentation is generated using Sphinx (https://www.sphinx-doc.org/). + If you download the source code from this repository you can generate the documentation in html format by typing: + ``` + pip install sphinx-rtd-theme + sphinx-build -b html docs/source docs/build/html + ``` + in the main folder of the project. + + + + + + +%package help +Summary: Development documents and examples for scikit-weak +Provides: python3-scikit-weak-doc +%description help +# scikit-weak (scikit-weakly-supervised) + +![scikit-weak logo](images/scikit_weak_logo.png) + + A package featuring utilities and algorithms for weakly supervised ML. + Should be (more-or-less) compatible with scikit-learn! + It collects original algorithms and methods developed by the contributors, + as well as some algorithms available in the literature. + + Current contributors: + - Andrea Campagner, MUDI Lab, University of Milano-Bicocca + - Julian Lienen, Paderborn University + + ## How to install + You can install the library using the command: + + ``` + pip install scikit-weak + ``` + + ### Dependencies: + numpy, scipy, scikit-learn, tensorflow, keras, pytest + + ## Documentation + The documentation is generated using Sphinx (https://www.sphinx-doc.org/). + If you download the source code from this repository you can generate the documentation in html format by typing: + ``` + pip install sphinx-rtd-theme + sphinx-build -b html docs/source docs/build/html + ``` + in the main folder of the project. + + + + + + +%prep +%autosetup -n scikit-weak-0.2.1 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-scikit-weak -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Jun 20 2023 Python_Bot - 0.2.1-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..e38309a --- /dev/null +++ b/sources @@ -0,0 +1 @@ +16e87064931163bcdba11c49361d5513 scikit-weak-0.2.1.tar.gz -- cgit v1.2.3