automatic import of python-mloq

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diff --git a/.gitignore b/.gitignore
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+/mloq-0.0.75.tar.gz
diff --git a/python-mloq.spec b/python-mloq.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-mloq
+Version:	0.0.75
+Release:	1
+Summary:	Package for initializing ML projects following ML Ops best practices.
+License:	MIT
+URL:		https://github.com/FragileTech/ml-ops-quickstart
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d5/6b/9f81a334398bcaff16c0fba8de8b878e7bdd0a8331872069e36626a2bee5/mloq-0.0.75.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-flogging
+Requires:	python3-jinja2
+Requires:	python3-click
+Requires:	python3-invoke
+Requires:	python3-hydra-core
+Requires:	python3-param
+Requires:	python3-pre-commit
+Requires:	python3-typing-extensions
+
+%description
+# ML Ops Quickstart
+[![Documentation Status](https://readthedocs.org/projects/mloq/badge/?version=latest)](https://mloq.readthedocs.io/en/latest/?badge=latest)
+[![Code coverage](https://codecov.io/github/fragiletech/ml-ops-quickstart/coverage.svg)](https://codecov.io/github/fragiletech/ml-ops-quickstart)
+[![PyPI package](https://badgen.net/pypi/v/mloq)](https://pypi.org/project/mloq/)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)
+[![license: MIT](https://img.shields.io/badge/license-MIT-green.svg)](https://opensource.org/licenses/MIT)
+
+ML Ops Quickstart is a tool for initializing Machine Learning projects following ML Ops best practices.
+
+Setting up new repositories is a time-consuming task that involves creating different files and 
+configuring tools such as linters, docker containers and continuous integration pipelines. 
+The goal of `mloq` is to simplify that process, so you can start writing code as fast as possible.
+
+`mloq` generates customized templates for Python projects with focus on Maching Learning. An example of 
+the generated templates can be found in [mloq-template](https://github.com/FragileTech/mloq-template).
+
+## [1.](#Index) Installation
+
+`mloq` is tested on Ubuntu 18.04+, and supports Python 3.6+.
+
+### Install from pypi
+```bash
+pip install mloq
+```
+### Install from source
+```bash
+git clone https://github.com/FragileTech/ml-ops-quickstart.git
+cd ml-ops-quickstart
+pip install -e .
+```
+
+## [2.](#Index) Usage
+### [2.1](#Index) Command line interface
+
+Options:
+* `--file` `-f`: Name of the configuration file. If `file` it's a directory it will load the `mloq.yml` file present in it.
+
+* `--overwrite` `-o`: Rewrite files that already exist in the target project.
+* `--interactive` `-i`: Missing configuration data can be defined interactively from the CLI.
+
+#### Usage examples
+Arguments:
+* `OUTPUT_DIRECTORY`: Path to the target project.
+
+To set up a new repository from scratch interactively in the curren working directory:
+```bash
+mloq setup -i .
+```
+
+To load a `mloq.yml` configuration file from the current repository, and initialize the directory `example`, and 
+overwrite all existing files with no interactivity:
+```bash
+mloq setup -f . -o example
+```
+
+![ci python](docs/images/mloq_setup.png)
+
+## [5.](#Index) License
+ML Ops Quickstart is released under the [MIT](LICENSE) license.
+
+## [6.](#Index) Contributing
+
+Contributions are very welcome! Please check the [contributing guidelines](CONTRIBUTING.md) before opening a pull request.
+
+
+%package -n python3-mloq
+Summary:	Package for initializing ML projects following ML Ops best practices.
+Provides:	python-mloq
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-mloq
+# ML Ops Quickstart
+[![Documentation Status](https://readthedocs.org/projects/mloq/badge/?version=latest)](https://mloq.readthedocs.io/en/latest/?badge=latest)
+[![Code coverage](https://codecov.io/github/fragiletech/ml-ops-quickstart/coverage.svg)](https://codecov.io/github/fragiletech/ml-ops-quickstart)
+[![PyPI package](https://badgen.net/pypi/v/mloq)](https://pypi.org/project/mloq/)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)
+[![license: MIT](https://img.shields.io/badge/license-MIT-green.svg)](https://opensource.org/licenses/MIT)
+
+ML Ops Quickstart is a tool for initializing Machine Learning projects following ML Ops best practices.
+
+Setting up new repositories is a time-consuming task that involves creating different files and 
+configuring tools such as linters, docker containers and continuous integration pipelines. 
+The goal of `mloq` is to simplify that process, so you can start writing code as fast as possible.
+
+`mloq` generates customized templates for Python projects with focus on Maching Learning. An example of 
+the generated templates can be found in [mloq-template](https://github.com/FragileTech/mloq-template).
+
+## [1.](#Index) Installation
+
+`mloq` is tested on Ubuntu 18.04+, and supports Python 3.6+.
+
+### Install from pypi
+```bash
+pip install mloq
+```
+### Install from source
+```bash
+git clone https://github.com/FragileTech/ml-ops-quickstart.git
+cd ml-ops-quickstart
+pip install -e .
+```
+
+## [2.](#Index) Usage
+### [2.1](#Index) Command line interface
+
+Options:
+* `--file` `-f`: Name of the configuration file. If `file` it's a directory it will load the `mloq.yml` file present in it.
+
+* `--overwrite` `-o`: Rewrite files that already exist in the target project.
+* `--interactive` `-i`: Missing configuration data can be defined interactively from the CLI.
+
+#### Usage examples
+Arguments:
+* `OUTPUT_DIRECTORY`: Path to the target project.
+
+To set up a new repository from scratch interactively in the curren working directory:
+```bash
+mloq setup -i .
+```
+
+To load a `mloq.yml` configuration file from the current repository, and initialize the directory `example`, and 
+overwrite all existing files with no interactivity:
+```bash
+mloq setup -f . -o example
+```
+
+![ci python](docs/images/mloq_setup.png)
+
+## [5.](#Index) License
+ML Ops Quickstart is released under the [MIT](LICENSE) license.
+
+## [6.](#Index) Contributing
+
+Contributions are very welcome! Please check the [contributing guidelines](CONTRIBUTING.md) before opening a pull request.
+
+
+%package help
+Summary:	Development documents and examples for mloq
+Provides:	python3-mloq-doc
+%description help
+# ML Ops Quickstart
+[![Documentation Status](https://readthedocs.org/projects/mloq/badge/?version=latest)](https://mloq.readthedocs.io/en/latest/?badge=latest)
+[![Code coverage](https://codecov.io/github/fragiletech/ml-ops-quickstart/coverage.svg)](https://codecov.io/github/fragiletech/ml-ops-quickstart)
+[![PyPI package](https://badgen.net/pypi/v/mloq)](https://pypi.org/project/mloq/)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)
+[![license: MIT](https://img.shields.io/badge/license-MIT-green.svg)](https://opensource.org/licenses/MIT)
+
+ML Ops Quickstart is a tool for initializing Machine Learning projects following ML Ops best practices.
+
+Setting up new repositories is a time-consuming task that involves creating different files and 
+configuring tools such as linters, docker containers and continuous integration pipelines. 
+The goal of `mloq` is to simplify that process, so you can start writing code as fast as possible.
+
+`mloq` generates customized templates for Python projects with focus on Maching Learning. An example of 
+the generated templates can be found in [mloq-template](https://github.com/FragileTech/mloq-template).
+
+## [1.](#Index) Installation
+
+`mloq` is tested on Ubuntu 18.04+, and supports Python 3.6+.
+
+### Install from pypi
+```bash
+pip install mloq
+```
+### Install from source
+```bash
+git clone https://github.com/FragileTech/ml-ops-quickstart.git
+cd ml-ops-quickstart
+pip install -e .
+```
+
+## [2.](#Index) Usage
+### [2.1](#Index) Command line interface
+
+Options:
+* `--file` `-f`: Name of the configuration file. If `file` it's a directory it will load the `mloq.yml` file present in it.
+
+* `--overwrite` `-o`: Rewrite files that already exist in the target project.
+* `--interactive` `-i`: Missing configuration data can be defined interactively from the CLI.
+
+#### Usage examples
+Arguments:
+* `OUTPUT_DIRECTORY`: Path to the target project.
+
+To set up a new repository from scratch interactively in the curren working directory:
+```bash
+mloq setup -i .
+```
+
+To load a `mloq.yml` configuration file from the current repository, and initialize the directory `example`, and 
+overwrite all existing files with no interactivity:
+```bash
+mloq setup -f . -o example
+```
+
+![ci python](docs/images/mloq_setup.png)
+
+## [5.](#Index) License
+ML Ops Quickstart is released under the [MIT](LICENSE) license.
+
+## [6.](#Index) Contributing
+
+Contributions are very welcome! Please check the [contributing guidelines](CONTRIBUTING.md) before opening a pull request.
+
+
+%prep
+%autosetup -n mloq-0.0.75
+
+%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-mloq -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.75-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
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@@ -0,0 +1 @@
+bac41b06f6f184eba57582b4ffff0e44  mloq-0.0.75.tar.gz