automatic import of python-tdub

3 files changed, 166 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..700d9ca 100644
--- a/.gitignore
+++ b/.gitignore
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+/tdub-0.0.79.tar.gz
diff --git a/python-tdub.spec b/python-tdub.spec
new file mode 100644
index 0000000..7ef99ab
--- /dev/null
+++ b/python-tdub.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-tdub
+Version:	0.0.79
+Release:	1
+Summary:	tW analysis tools.
+License:	BSD 3-clause
+URL:		https://github.com/douglasdavis/tdub
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/95/eb/57e2f7c6f6f6f2089b5c4a5c3b235e327876a25015d0aec35d0bd7a2bd85/tdub-0.0.79.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-click
+Requires:	python3-formulate
+Requires:	python3-joblib
+Requires:	python3-lz4
+Requires:	python3-matplotlib
+Requires:	python3-numexpr
+Requires:	python3-pandas
+Requires:	python3-pycondor
+Requires:	python3-pygram11
+Requires:	python3-pyyaml
+Requires:	python3-scikit-learn
+Requires:	python3-uproot
+Requires:	python3-xxhash
+Requires:	python3-requests
+
+%description
+# tdub
+
+[![Actions Status](https://github.com/douglasdavis/tdub/workflows/Linux/macOS/badge.svg)](https://github.com/douglasdavis/tdub/actions)
+[![Documentation Status](https://readthedocs.org/projects/tdub/badge/?version=latest)](https://tdub.readthedocs.io/)
+[![PyPI](https://img.shields.io/pypi/v/tdub?color=teal)](https://pypi.org/project/tdub/)
+[![Python Version](https://img.shields.io/pypi/pyversions/tdub)](https://pypi.org/project/tdub/)
+
+`tdub` is a Python project for handling some downstsream steps in the
+ATLAS Run 2 *tW* inclusive cross section analysis. The project provides
+a simple command line interface for performing standard analysis tasks
+including:
+
+- BDT feature selection and hyperparameter optimization.
+- Training BDT models on our Monte Carlo.
+- Applying trained BDT models to our data and Monte Carlo.
+- Generating plots from various raw sources (our ROOT files and
+  Classifier training output).
+- Generating plots from the output of
+  [`TRExFitter`](https://gitlab.cern.ch/TRExStats/TRExFitter/).
+
+For potentially finer-grained tasks the API is fully documented. The
+API mainly provides quick and easy access to pythonic representations
+(i.e. dataframes or NumPy arrays) of our datasets (which of course
+originate from [ROOT](https://root.cern/) files), modularized ML
+tasks, and a set of utilities tailored for interacting with our
+specific datasets.
+
+
+%package -n python3-tdub
+Summary:	tW analysis tools.
+Provides:	python-tdub
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-tdub
+# tdub
+
+[![Actions Status](https://github.com/douglasdavis/tdub/workflows/Linux/macOS/badge.svg)](https://github.com/douglasdavis/tdub/actions)
+[![Documentation Status](https://readthedocs.org/projects/tdub/badge/?version=latest)](https://tdub.readthedocs.io/)
+[![PyPI](https://img.shields.io/pypi/v/tdub?color=teal)](https://pypi.org/project/tdub/)
+[![Python Version](https://img.shields.io/pypi/pyversions/tdub)](https://pypi.org/project/tdub/)
+
+`tdub` is a Python project for handling some downstsream steps in the
+ATLAS Run 2 *tW* inclusive cross section analysis. The project provides
+a simple command line interface for performing standard analysis tasks
+including:
+
+- BDT feature selection and hyperparameter optimization.
+- Training BDT models on our Monte Carlo.
+- Applying trained BDT models to our data and Monte Carlo.
+- Generating plots from various raw sources (our ROOT files and
+  Classifier training output).
+- Generating plots from the output of
+  [`TRExFitter`](https://gitlab.cern.ch/TRExStats/TRExFitter/).
+
+For potentially finer-grained tasks the API is fully documented. The
+API mainly provides quick and easy access to pythonic representations
+(i.e. dataframes or NumPy arrays) of our datasets (which of course
+originate from [ROOT](https://root.cern/) files), modularized ML
+tasks, and a set of utilities tailored for interacting with our
+specific datasets.
+
+
+%package help
+Summary:	Development documents and examples for tdub
+Provides:	python3-tdub-doc
+%description help
+# tdub
+
+[![Actions Status](https://github.com/douglasdavis/tdub/workflows/Linux/macOS/badge.svg)](https://github.com/douglasdavis/tdub/actions)
+[![Documentation Status](https://readthedocs.org/projects/tdub/badge/?version=latest)](https://tdub.readthedocs.io/)
+[![PyPI](https://img.shields.io/pypi/v/tdub?color=teal)](https://pypi.org/project/tdub/)
+[![Python Version](https://img.shields.io/pypi/pyversions/tdub)](https://pypi.org/project/tdub/)
+
+`tdub` is a Python project for handling some downstsream steps in the
+ATLAS Run 2 *tW* inclusive cross section analysis. The project provides
+a simple command line interface for performing standard analysis tasks
+including:
+
+- BDT feature selection and hyperparameter optimization.
+- Training BDT models on our Monte Carlo.
+- Applying trained BDT models to our data and Monte Carlo.
+- Generating plots from various raw sources (our ROOT files and
+  Classifier training output).
+- Generating plots from the output of
+  [`TRExFitter`](https://gitlab.cern.ch/TRExStats/TRExFitter/).
+
+For potentially finer-grained tasks the API is fully documented. The
+API mainly provides quick and easy access to pythonic representations
+(i.e. dataframes or NumPy arrays) of our datasets (which of course
+originate from [ROOT](https://root.cern/) files), modularized ML
+tasks, and a set of utilities tailored for interacting with our
+specific datasets.
+
+
+%prep
+%autosetup -n tdub-0.0.79
+
+%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-tdub -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.79-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..4ace38b
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+24080f53149c6f57243484da0a7c9c71  tdub-0.0.79.tar.gz