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authorCoprDistGit <infra@openeuler.org>2023-05-10 07:00:35 +0000
committerCoprDistGit <infra@openeuler.org>2023-05-10 07:00:35 +0000
commit90e3aa172a100dcbe1e45cbdd29d2a0067875173 (patch)
tree4a8e62a4cdb853495f5d9738d69b7c7560b1f18f
parentf03cac3ea627c9b27f9c6381b52d957da4f80c7f (diff)
automatic import of python-lightlyopeneuler20.03
-rw-r--r--.gitignore1
-rw-r--r--python-lightly.spec197
-rw-r--r--sources1
3 files changed, 199 insertions, 0 deletions
diff --git a/.gitignore b/.gitignore
index e69de29..604d389 100644
--- a/.gitignore
+++ b/.gitignore
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+/lightly-1.4.4.tar.gz
diff --git a/python-lightly.spec b/python-lightly.spec
new file mode 100644
index 0000000..91aaa81
--- /dev/null
+++ b/python-lightly.spec
@@ -0,0 +1,197 @@
+%global _empty_manifest_terminate_build 0
+Name: python-lightly
+Version: 1.4.4
+Release: 1
+Summary: A deep learning package for self-supervised learning
+License: MIT
+URL: https://www.lightly.ai
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/9a/ed/42f2bd6de1c4fe0d2ec6514804bc0b07c5b9ae6d1041faae4fba7492e201/lightly-1.4.4.tar.gz
+BuildArch: noarch
+
+Requires: python3-certifi
+Requires: python3-hydra-core
+Requires: python3-lightly-utils
+Requires: python3-numpy
+Requires: python3-dateutil
+Requires: python3-requests
+Requires: python3-six
+Requires: python3-tqdm
+Requires: python3-urllib3
+Requires: python3-torch
+Requires: python3-torchvision
+Requires: python3-pytorch-lightning
+Requires: python3-tox
+Requires: python3-sphinx
+Requires: python3-pytest
+Requires: python3-pytest-forked
+Requires: python3-pytest-xdist
+Requires: python3-pytest-mock
+Requires: python3-responses
+Requires: python3-docutils
+Requires: python3-sphinx-copybutton
+Requires: python3-sphinx-design
+Requires: python3-sphinx-gallery
+Requires: python3-sphinx-tabs
+Requires: python3-sphinx-reredirects
+Requires: python3-sphinx-rtd-theme
+Requires: python3-matplotlib
+Requires: python3-pre-commit
+Requires: python3-opencv-python
+Requires: python3-scikit-learn
+Requires: python3-pandas
+Requires: python3-torchmetrics
+Requires: python3-lightning-bolts
+Requires: python3-black
+Requires: python3-isort
+Requires: python3-torchvision
+Requires: python3-av
+Requires: python3-tox
+Requires: python3-sphinx
+Requires: python3-pytest
+Requires: python3-pytest-forked
+Requires: python3-pytest-xdist
+Requires: python3-pytest-mock
+Requires: python3-responses
+Requires: python3-docutils
+Requires: python3-sphinx-copybutton
+Requires: python3-sphinx-design
+Requires: python3-sphinx-gallery
+Requires: python3-sphinx-tabs
+Requires: python3-sphinx-reredirects
+Requires: python3-sphinx-rtd-theme
+Requires: python3-matplotlib
+Requires: python3-pre-commit
+Requires: python3-opencv-python
+Requires: python3-scikit-learn
+Requires: python3-pandas
+Requires: python3-torchmetrics
+Requires: python3-lightning-bolts
+Requires: python3-black
+Requires: python3-isort
+Requires: python3-torchvision
+Requires: python3-av
+
+%description
+# Lightly
+
+Lightly is a PIP package for self-supervised learning.
+
+> We, at [Lightly](https://www.lightly.ai), are passionate engineers who want to make deep learning more efficient. We want to help popularize the use of self-supervised methods to understand and filter raw image data. Our solution can be applied before any data annotation step and the learned representations can be used to analyze and visualize datasets as well as for selecting a core set of samples.
+
+If you are curious to learn more about our work - check out [Lightly](https://www.lightly.ai)!
+
+## Installation
+
+```
+pip install lightly
+```
+
+
+## Links
+- [Homepage](https://www.lightly.ai)
+- [Web-App](https://app.lightly.ai)
+- [Documentation](https://docs.lightly.ai)
+- [Github](https://github.com/lightly-ai/lightly)
+- [Discord](https://discord.gg/xvNJW94)
+
+
+%package -n python3-lightly
+Summary: A deep learning package for self-supervised learning
+Provides: python-lightly
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-lightly
+# Lightly
+
+Lightly is a PIP package for self-supervised learning.
+
+> We, at [Lightly](https://www.lightly.ai), are passionate engineers who want to make deep learning more efficient. We want to help popularize the use of self-supervised methods to understand and filter raw image data. Our solution can be applied before any data annotation step and the learned representations can be used to analyze and visualize datasets as well as for selecting a core set of samples.
+
+If you are curious to learn more about our work - check out [Lightly](https://www.lightly.ai)!
+
+## Installation
+
+```
+pip install lightly
+```
+
+
+## Links
+- [Homepage](https://www.lightly.ai)
+- [Web-App](https://app.lightly.ai)
+- [Documentation](https://docs.lightly.ai)
+- [Github](https://github.com/lightly-ai/lightly)
+- [Discord](https://discord.gg/xvNJW94)
+
+
+%package help
+Summary: Development documents and examples for lightly
+Provides: python3-lightly-doc
+%description help
+# Lightly
+
+Lightly is a PIP package for self-supervised learning.
+
+> We, at [Lightly](https://www.lightly.ai), are passionate engineers who want to make deep learning more efficient. We want to help popularize the use of self-supervised methods to understand and filter raw image data. Our solution can be applied before any data annotation step and the learned representations can be used to analyze and visualize datasets as well as for selecting a core set of samples.
+
+If you are curious to learn more about our work - check out [Lightly](https://www.lightly.ai)!
+
+## Installation
+
+```
+pip install lightly
+```
+
+
+## Links
+- [Homepage](https://www.lightly.ai)
+- [Web-App](https://app.lightly.ai)
+- [Documentation](https://docs.lightly.ai)
+- [Github](https://github.com/lightly-ai/lightly)
+- [Discord](https://discord.gg/xvNJW94)
+
+
+%prep
+%autosetup -n lightly-1.4.4
+
+%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-lightly -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.4.4-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..9e423dc
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+c532450731727824d525f286a2203109 lightly-1.4.4.tar.gz