%global _empty_manifest_terminate_build 0
Name:		python-antinex-core
Version:	1.3.13
Release:	1
Summary:	AntiNex publisher-subscriber core for processing training and prediction requests for deep neural networks to detect network exploits using Keras and Tensorflow in near real-time.
License:	Apache Software License
URL:		https://github.com/jay-johnson/antinex-core
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/c3/79/6c5272f688953e8d7b0280def5e3928487f382f409906631603abf9b6d2b/antinex-core-1.3.13.tar.gz
BuildArch:	noarch

Requires:	python3-celery
Requires:	python3-celery-connectors
Requires:	python3-celery-loaders
Requires:	python3-colorlog
Requires:	python3-coverage
Requires:	python3-flake8
Requires:	python3-future
Requires:	python3-matplotlib
Requires:	python3-numpy
Requires:	python3-pandas
Requires:	python3-pep8
Requires:	python3-pipenv
Requires:	python3-pycodestyle
Requires:	python3-pylint
Requires:	python3-recommonmark
Requires:	python3-requests
Requires:	python3-scikit-learn
Requires:	python3-seaborn
Requires:	python3-sphinx
Requires:	python3-sphinx-autobuild
Requires:	python3-sphinx-bootstrap-theme
Requires:	python3-sphinx-rtd-theme
Requires:	python3-spylunking
Requires:	python3-tox
Requires:	python3-tqdm
Requires:	python3-unittest2
Requires:	python3-mock
Requires:	python3-antinex-utils
Requires:	python3-h5py
Requires:	python3-keras
Requires:	python3-tables
Requires:	python3-tensorflow

%description
Automating network exploit detection using highly accurate pre-trained deep neural networks.
As of 2018-03-12, the core can repeatedly predict attacks on Django, Flask, React + Redux, Vue, and Spring application servers by training using the pre-recorded `AntiNex datasets`_ with cross validation scores above **~99.8%** with automated scaler normalization.

%package -n python3-antinex-core
Summary:	AntiNex publisher-subscriber core for processing training and prediction requests for deep neural networks to detect network exploits using Keras and Tensorflow in near real-time.
Provides:	python-antinex-core
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-antinex-core
Automating network exploit detection using highly accurate pre-trained deep neural networks.
As of 2018-03-12, the core can repeatedly predict attacks on Django, Flask, React + Redux, Vue, and Spring application servers by training using the pre-recorded `AntiNex datasets`_ with cross validation scores above **~99.8%** with automated scaler normalization.

%package help
Summary:	Development documents and examples for antinex-core
Provides:	python3-antinex-core-doc
%description help
Automating network exploit detection using highly accurate pre-trained deep neural networks.
As of 2018-03-12, the core can repeatedly predict attacks on Django, Flask, React + Redux, Vue, and Spring application servers by training using the pre-recorded `AntiNex datasets`_ with cross validation scores above **~99.8%** with automated scaler normalization.

%prep
%autosetup -n antinex-core-1.3.13

%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-antinex-core -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.3.13-1
- Package Spec generated