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| author | CoprDistGit <infra@openeuler.org> | 2023-06-20 09:21:26 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-06-20 09:21:26 +0000 |
| commit | 38a46a59efa88cdf21cae7293415545a26038e66 (patch) | |
| tree | 12e7d8c7bd60e2c99e36076854a0bd38be28bfdb /python-scikit-weak.spec | |
| parent | 9ba497939b40be1e4a4f517d036d68dfdde4739e (diff) | |
automatic import of python-scikit-weakopeneuler20.03
Diffstat (limited to 'python-scikit-weak.spec')
| -rw-r--r-- | python-scikit-weak.spec | 177 |
1 files changed, 177 insertions, 0 deletions
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)
+
+
+
+ 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)
+
+
+
+ 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)
+
+
+
+ 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 <Python_Bot@openeuler.org> - 0.2.1-1 +- Package Spec generated |