%global _empty_manifest_terminate_build 0
Name: python-dataclay
Version: 3.0.1
Release: 1
Summary: Python distributed data store that enables remotely access and method execution.
License: BSD-3-Clause
URL: https://pypi.org/project/dataclay/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/41/ea/7b9406942a2a693b0b26624330f6ce2b5c3f07a204211f9f49f2bb44c14c/dataclay-3.0.1.tar.gz
BuildArch: noarch
Requires: python3-grpcio
Requires: python3-numpy
Requires: python3-psutil
Requires: python3-protobuf
Requires: python3-redis
Requires: python3-bcrypt
Requires: python3-tox
Requires: python3-pytest
Requires: python3-pytest-docker
Requires: python3-grpcio-tools
Requires: python3-black
Requires: python3-isort
Requires: python3-furo
Requires: python3-sphinx-copybutton
Requires: python3-ansible
Requires: python3-opentelemetry-api
%description
dataClay is a distributed data store that enables applications to store and access objects in the same format they have in memory, and executes object methods within the data store. These two main features accelerate both the development of applications and their execution.
## Installation
To install dataClay, you can use [pip](https://pip.pypa.io):
```bash
$ pip install dataClay
```
Alternatively, you can obtain the latest source code from [GitHub](https://github.com/bsc-dom/dataclay):
```bash
$ git clone https://github.com/bsc-dom/dataclay.git
$ cd dataclay
$ pip install .
```
## Documentation
dataClay has usage and reference documentation at [dataclay.readthedocs.io](https://dataclay.readthedocs.io/en/latest/)
## Contributing
We welcome contributions to dataClay. Please see the [Contributing](https://dataclay.readthedocs.io/en/latest/contributing.html) for more details.
## Maintainers
- [@alexbarcelo](https://github.com/alexbarcelo) (Alex Barcelo)
- [@aqueralt](https://github.com/aqueralt) (Anna Queralt)
- [@marcmonfort](https://github.com/marcmonfort) (Marc Monfort)
## Other resources
[BSC official website](https://www.bsc.es/dataclay)
%package -n python3-dataclay
Summary: Python distributed data store that enables remotely access and method execution.
Provides: python-dataclay
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-dataclay
dataClay is a distributed data store that enables applications to store and access objects in the same format they have in memory, and executes object methods within the data store. These two main features accelerate both the development of applications and their execution.
## Installation
To install dataClay, you can use [pip](https://pip.pypa.io):
```bash
$ pip install dataClay
```
Alternatively, you can obtain the latest source code from [GitHub](https://github.com/bsc-dom/dataclay):
```bash
$ git clone https://github.com/bsc-dom/dataclay.git
$ cd dataclay
$ pip install .
```
## Documentation
dataClay has usage and reference documentation at [dataclay.readthedocs.io](https://dataclay.readthedocs.io/en/latest/)
## Contributing
We welcome contributions to dataClay. Please see the [Contributing](https://dataclay.readthedocs.io/en/latest/contributing.html) for more details.
## Maintainers
- [@alexbarcelo](https://github.com/alexbarcelo) (Alex Barcelo)
- [@aqueralt](https://github.com/aqueralt) (Anna Queralt)
- [@marcmonfort](https://github.com/marcmonfort) (Marc Monfort)
## Other resources
[BSC official website](https://www.bsc.es/dataclay)
%package help
Summary: Development documents and examples for dataclay
Provides: python3-dataclay-doc
%description help
dataClay is a distributed data store that enables applications to store and access objects in the same format they have in memory, and executes object methods within the data store. These two main features accelerate both the development of applications and their execution.
## Installation
To install dataClay, you can use [pip](https://pip.pypa.io):
```bash
$ pip install dataClay
```
Alternatively, you can obtain the latest source code from [GitHub](https://github.com/bsc-dom/dataclay):
```bash
$ git clone https://github.com/bsc-dom/dataclay.git
$ cd dataclay
$ pip install .
```
## Documentation
dataClay has usage and reference documentation at [dataclay.readthedocs.io](https://dataclay.readthedocs.io/en/latest/)
## Contributing
We welcome contributions to dataClay. Please see the [Contributing](https://dataclay.readthedocs.io/en/latest/contributing.html) for more details.
## Maintainers
- [@alexbarcelo](https://github.com/alexbarcelo) (Alex Barcelo)
- [@aqueralt](https://github.com/aqueralt) (Anna Queralt)
- [@marcmonfort](https://github.com/marcmonfort) (Marc Monfort)
## Other resources
[BSC official website](https://www.bsc.es/dataclay)
%prep
%autosetup -n dataclay-3.0.1
%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-dataclay -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 31 2023 Python_Bot - 3.0.1-1
- Package Spec generated