automatic import of python-gradientopeneuler20.03

3 files changed, 143 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..8a42051 100644
--- a/.gitignore
+++ b/.gitignore
@@ -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
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+%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
+![PyPI](https://img.shields.io/pypi/v/gradient)
+[![Downloads](https://pepy.tech/badge/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 -n python3-gradient
+Summary:	Paperspace Python
+Provides:	python-gradient
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-gradient
+![PyPI](https://img.shields.io/pypi/v/gradient)
+[![Downloads](https://pepy.tech/badge/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
+![PyPI](https://img.shields.io/pypi/v/gradient)
+[![Downloads](https://pepy.tech/badge/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>
+
+%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
diff --git a/sources b/sources
new file mode 100644
index 0000000..0d6b6fa
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+650600d82b59e4ac84fcfeae2331e45f  gradient-2.0.6.tar.gz