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@@ -0,0 +1 @@ +/gradient-2.0.6.tar.gz diff --git a/python-gradient.spec b/python-gradient.spec new file mode 100644 index 0000000..c9be0c9 --- /dev/null +++ b/python-gradient.spec @@ -0,0 +1,141 @@ +%global _empty_manifest_terminate_build 0 +Name: python-gradient +Version: 2.0.6 +Release: 1 +Summary: Paperspace Python +License: ISC License (ISCL) +URL: https://github.com/paperspace/gradient-cli +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/41/80/ca5a5db9522fb6b16a37bf6cb126dee78ce6808b57e338f4ca3281757faa/gradient-2.0.6.tar.gz +BuildArch: noarch + +Requires: python3-requests[security] +Requires: python3-six +Requires: python3-click +Requires: python3-terminaltables +Requires: python3-click-didyoumean +Requires: python3-click-help-colors +Requires: python3-click-completion +Requires: python3-colorama +Requires: python3-requests-toolbelt +Requires: python3-progressbar2 +Requires: python3-halo +Requires: python3-marshmallow +Requires: python3-attrs +Requires: python3-PyYAML +Requires: python3-dateutil +Requires: python3-websocket-client +Requires: python3-gradient-utils +Requires: python3-gql[requests] +Requires: python3-windows-curses +Requires: python3-tox +Requires: python3-pytest +Requires: python3-mock +Requires: python3-twine +Requires: python3-sphinx +Requires: python3-sphinx-click +Requires: python3-recommonmark +Requires: python3-pathlib2 + +%description + +[](https://pepy.tech/project/gradient) +<br> +**Get started:** [Create Account](https://console.paperspace.com/signup?gradient=true) • [Install CLI](https://docs.paperspace.com/gradient/cli/) • [Tutorials](https://docs.paperspace.com/gradient/tutorials/) • [Docs](https://docs.paperspace.com/gradient) +**Resources:** [Website](https://gradient.run/) • [Blog](https://blog.paperspace.com/) • [Support](https://docs.paperspace.com/contact-support/) • [Contact Sales](https://paperspace.com/contact-sales) +<br> +Gradient is an an end-to-end MLOps platform that enables individuals and organizations to quickly develop, train, and deploy Deep Learning models. The Gradient software stack runs on any infrastructure e.g. AWS, GCP, on-premise and low-cost [Paperspace GPUs](https://docs.paperspace.com/gradient/machines/). Leverage automatic versioning, distributed training, built-in graphs & metrics, hyperparameter search, GradientCI, 1-click Jupyter Notebooks, our Python SDK, and more. +Key components: +* [Notebooks](https://gradient.run/notebooks): 1-click Jupyter Notebooks. +* [Workflows](https://gradient.run/workflows): Train models at scale with composable actions. +* [Inference](https://gradient.run/deployments): Deploy models as API endpoints. +Gradient supports any ML/DL framework (TensorFlow, PyTorch, XGBoost, etc). +<hr> +See [releasenotes.md](https://github.com/Paperspace/gradient-cli/blob/master/releasenotes.md) for details on the current release, as well as release history. +<br> + +%package -n python3-gradient +Summary: Paperspace Python +Provides: python-gradient +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-gradient + +[](https://pepy.tech/project/gradient) +<br> +**Get started:** [Create Account](https://console.paperspace.com/signup?gradient=true) • [Install CLI](https://docs.paperspace.com/gradient/cli/) • [Tutorials](https://docs.paperspace.com/gradient/tutorials/) • [Docs](https://docs.paperspace.com/gradient) +**Resources:** [Website](https://gradient.run/) • [Blog](https://blog.paperspace.com/) • [Support](https://docs.paperspace.com/contact-support/) • [Contact Sales](https://paperspace.com/contact-sales) +<br> +Gradient is an an end-to-end MLOps platform that enables individuals and organizations to quickly develop, train, and deploy Deep Learning models. The Gradient software stack runs on any infrastructure e.g. AWS, GCP, on-premise and low-cost [Paperspace GPUs](https://docs.paperspace.com/gradient/machines/). Leverage automatic versioning, distributed training, built-in graphs & metrics, hyperparameter search, GradientCI, 1-click Jupyter Notebooks, our Python SDK, and more. +Key components: +* [Notebooks](https://gradient.run/notebooks): 1-click Jupyter Notebooks. +* [Workflows](https://gradient.run/workflows): Train models at scale with composable actions. +* [Inference](https://gradient.run/deployments): Deploy models as API endpoints. +Gradient supports any ML/DL framework (TensorFlow, PyTorch, XGBoost, etc). +<hr> +See [releasenotes.md](https://github.com/Paperspace/gradient-cli/blob/master/releasenotes.md) for details on the current release, as well as release history. +<br> + +%package help +Summary: Development documents and examples for gradient +Provides: python3-gradient-doc +%description help + +[](https://pepy.tech/project/gradient) +<br> +**Get started:** [Create Account](https://console.paperspace.com/signup?gradient=true) • [Install CLI](https://docs.paperspace.com/gradient/cli/) • [Tutorials](https://docs.paperspace.com/gradient/tutorials/) • [Docs](https://docs.paperspace.com/gradient) +**Resources:** [Website](https://gradient.run/) • [Blog](https://blog.paperspace.com/) • [Support](https://docs.paperspace.com/contact-support/) • [Contact Sales](https://paperspace.com/contact-sales) +<br> +Gradient is an an end-to-end MLOps platform that enables individuals and organizations to quickly develop, train, and deploy Deep Learning models. The Gradient software stack runs on any infrastructure e.g. AWS, GCP, on-premise and low-cost [Paperspace GPUs](https://docs.paperspace.com/gradient/machines/). Leverage automatic versioning, distributed training, built-in graphs & metrics, hyperparameter search, GradientCI, 1-click Jupyter Notebooks, our Python SDK, and more. +Key components: +* [Notebooks](https://gradient.run/notebooks): 1-click Jupyter Notebooks. +* [Workflows](https://gradient.run/workflows): Train models at scale with composable actions. +* [Inference](https://gradient.run/deployments): Deploy models as API endpoints. +Gradient supports any ML/DL framework (TensorFlow, PyTorch, XGBoost, etc). +<hr> +See [releasenotes.md](https://github.com/Paperspace/gradient-cli/blob/master/releasenotes.md) for details on the current release, as well as release history. +<br> + +%prep +%autosetup -n gradient-2.0.6 + +%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-gradient -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.6-1 +- Package Spec generated @@ -0,0 +1 @@ +650600d82b59e4ac84fcfeae2331e45f gradient-2.0.6.tar.gz |