automatic import of python-stock-analysis-engineopeneuler20.03

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+/stock-analysis-engine-1.9.15.tar.gz
diff --git a/python-stock-analysis-engine.spec b/python-stock-analysis-engine.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-stock-analysis-engine
+Version:	1.9.15
+Release:	1
+Summary:	Backtest 1000s of minute-by-minute trading algorithms. Automated pricing data ingestion from: IEX Cloud (https://iexcloud.io), Tradier (https://tradier.com) and FinViz. Datasets and trading performance automatically compressed and published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes with Helm and docker-compose. >150 million trading history rows generated from +5000 algorithms
+License:	Apache Software License
+URL:		https://github.com/AlgoTraders/stock-analysis-engine
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/af/0a/840074fc4cf3817a22b590d07794d3367d896e78d26f9b416a7ed7a917b7/stock-analysis-engine-1.9.15.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-boto3
+Requires:	python3-bs4
+Requires:	python3-celery
+Requires:	python3-celery[redis]
+Requires:	python3-colorlog
+Requires:	python3-coverage
+Requires:	python3-flake8
+Requires:	python3-future
+Requires:	python3-matplotlib
+Requires:	python3-mock
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-pep8
+Requires:	python3-pycodestyle
+Requires:	python3-pylint
+Requires:	python3-recommonmark
+Requires:	python3-redis
+Requires:	python3-seaborn
+Requires:	python3-sphinx
+Requires:	python3-sphinx-autobuild
+Requires:	python3-sphinx-rtd-theme
+Requires:	python3-spylunking
+Requires:	python3-tabulate
+Requires:	python3-trading-calendars
+Requires:	python3-unittest2
+Requires:	python3-urllib3
+Requires:	python3-ujson
+Requires:	python3-vprof
+Requires:	python3-awscli
+Requires:	python3-h5py
+Requires:	python3-keras
+Requires:	python3-scikit-learn
+Requires:	python3-tables
+Requires:	python3-ta-lib
+Requires:	python3-tensorflow
+
+%description
+Build and tune investment algorithms for use with `artificial intelligence (deep neural networks) <https://github.com/AlgoTraders/stock-analysis-engine/blob/master/compose/docker/notebooks/Comparing-3-Deep-Neural-Networks-Trained-to-Predict-a-Stocks-Closing-Price-Using-The-Analysis-Engine.ipynb>`__ with a distributed stack for running backtests using live pricing data on publicly traded companies with automated datafeeds from: `IEX Cloud <https://iexcloud.io/>`__, `Tradier <https://tradier.com/>`__ and `FinViz <https://finviz.com>`__ (includes: pricing, options, news, dividends, daily, intraday, screeners, statistics, financials, earnings, and more).
+Kubernetes users please refer to `the Helm guide to get started <https://stock-analysis-engine.readthedocs.io/en/latest/deploy_on_kubernetes_using_helm.html>`__ and `Metalnetes for running multiple Analysis Engines at the same time on a bare-metal server <https://metalnetes.readthedocs.io/en/latest/#>`__
+
+%package -n python3-stock-analysis-engine
+Summary:	Backtest 1000s of minute-by-minute trading algorithms. Automated pricing data ingestion from: IEX Cloud (https://iexcloud.io), Tradier (https://tradier.com) and FinViz. Datasets and trading performance automatically compressed and published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes with Helm and docker-compose. >150 million trading history rows generated from +5000 algorithms
+Provides:	python-stock-analysis-engine
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-stock-analysis-engine
+Build and tune investment algorithms for use with `artificial intelligence (deep neural networks) <https://github.com/AlgoTraders/stock-analysis-engine/blob/master/compose/docker/notebooks/Comparing-3-Deep-Neural-Networks-Trained-to-Predict-a-Stocks-Closing-Price-Using-The-Analysis-Engine.ipynb>`__ with a distributed stack for running backtests using live pricing data on publicly traded companies with automated datafeeds from: `IEX Cloud <https://iexcloud.io/>`__, `Tradier <https://tradier.com/>`__ and `FinViz <https://finviz.com>`__ (includes: pricing, options, news, dividends, daily, intraday, screeners, statistics, financials, earnings, and more).
+Kubernetes users please refer to `the Helm guide to get started <https://stock-analysis-engine.readthedocs.io/en/latest/deploy_on_kubernetes_using_helm.html>`__ and `Metalnetes for running multiple Analysis Engines at the same time on a bare-metal server <https://metalnetes.readthedocs.io/en/latest/#>`__
+
+%package help
+Summary:	Development documents and examples for stock-analysis-engine
+Provides:	python3-stock-analysis-engine-doc
+%description help
+Build and tune investment algorithms for use with `artificial intelligence (deep neural networks) <https://github.com/AlgoTraders/stock-analysis-engine/blob/master/compose/docker/notebooks/Comparing-3-Deep-Neural-Networks-Trained-to-Predict-a-Stocks-Closing-Price-Using-The-Analysis-Engine.ipynb>`__ with a distributed stack for running backtests using live pricing data on publicly traded companies with automated datafeeds from: `IEX Cloud <https://iexcloud.io/>`__, `Tradier <https://tradier.com/>`__ and `FinViz <https://finviz.com>`__ (includes: pricing, options, news, dividends, daily, intraday, screeners, statistics, financials, earnings, and more).
+Kubernetes users please refer to `the Helm guide to get started <https://stock-analysis-engine.readthedocs.io/en/latest/deploy_on_kubernetes_using_helm.html>`__ and `Metalnetes for running multiple Analysis Engines at the same time on a bare-metal server <https://metalnetes.readthedocs.io/en/latest/#>`__
+
+%prep
+%autosetup -n stock-analysis-engine-1.9.15
+
+%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-stock-analysis-engine -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.9.15-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..ad7f6c8
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+8442f590f6df4ea5cb440333b6ffffa7  stock-analysis-engine-1.9.15.tar.gz