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author | CoprDistGit <infra@openeuler.org> | 2023-05-05 07:09:13 +0000 |
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committer | CoprDistGit <infra@openeuler.org> | 2023-05-05 07:09:13 +0000 |
commit | bf3fada3d1a1abe684bd955f934cf849bfc4d9c2 (patch) | |
tree | b5c2f603c7164e73e43a66744e799e7fac0b61a0 | |
parent | ef28a30213b4af82ee611fe6e031e8a37ea82e0d (diff) |
automatic import of python-vectorhub-nightlyopeneuler20.03
-rw-r--r-- | .gitignore | 1 | ||||
-rw-r--r-- | python-vectorhub-nightly.spec | 221 | ||||
-rw-r--r-- | sources | 1 |
3 files changed, 223 insertions, 0 deletions
@@ -0,0 +1 @@ +/vectorhub-nightly-1.2.0.2021.6.2.1.17.47.427274.tar.gz diff --git a/python-vectorhub-nightly.spec b/python-vectorhub-nightly.spec new file mode 100644 index 0000000..0d798a9 --- /dev/null +++ b/python-vectorhub-nightly.spec @@ -0,0 +1,221 @@ +%global _empty_manifest_terminate_build 0 +Name: python-vectorhub-nightly +Version: 1.2.0.2021.6.2.1.17.47.427274 +Release: 1 +Summary: One liner to encode data into vectors with state-of-the-art models using tensorflow, pytorch and other open source libraries. Word2Vec, Image2Vec, BERT, etc +License: Apache +URL: https://github.com/vector-ai/vectorhub +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/41/0f/f08cdcfae334382a781321d3903ebb34b6c97a04efc5036e8b34731a6d11/vectorhub-nightly-1.2.0.2021.6.2.1.17.47.427274.tar.gz +BuildArch: noarch + +Requires: python3-PyYAML +Requires: python3-requests +Requires: python3-numpy +Requires: python3-vectorai +Requires: python3-Pillow +Requires: python3-PyYAML +Requires: python3-appdirs +Requires: python3-mtcnn +Requires: python3-transformers +Requires: python3-PyYAML +Requires: python3-scikit-image +Requires: python3-Pillow +Requires: python3-tf-models-official +Requires: python3-tensorflow-text +Requires: python3-vectorai +Requires: python3-fastai +Requires: python3-tensorflow-hub +Requires: python3-tensorflow +Requires: python3-opencv-python +Requires: python3-sphinx-rtd-theme +Requires: python3-imageio +Requires: python3-soundfile +Requires: python3-sentence-transformers +Requires: python3-requests +Requires: python3-fairseq +Requires: python3-moviepy +Requires: python3-pytest +Requires: python3-bert-for-tf2 +Requires: python3-clip-by-openai +Requires: python3-numpy +Requires: python3-torch +Requires: python3-librosa +Requires: python3-appdirs +Requires: python3-librosa +Requires: python3-bert-for-tf2 +Requires: python3-scikit-image +Requires: python3-opencv-python +Requires: python3-clip-by-openai +Requires: python3-Pillow +Requires: python3-imageio +Requires: python3-clip-by-openai +Requires: python3-PyYAML +Requires: python3-requests +Requires: python3-numpy +Requires: python3-vectorai +Requires: python3-fairseq +Requires: python3-torch +Requires: python3-soundfile +Requires: python3-tensorflow +Requires: python3-tensorflow-hub +Requires: python3-librosa +Requires: python3-transformers +Requires: python3-torch +Requires: python3-scikit-image +Requires: python3-imageio +Requires: python3-opencv-python +Requires: python3-fastai +Requires: python3-torch +Requires: python3-appdirs +Requires: python3-mtcnn +Requires: python3-opencv-python +Requires: python3-tensorflow +Requires: python3-Pillow +Requires: python3-scikit-image +Requires: python3-imageio +Requires: python3-tensorflow +Requires: python3-tensorflow-hub +Requires: python3-torch +Requires: python3-sentence-transformers +Requires: python3-transformers +Requires: python3-tensorflow +Requires: python3-tensorflow-text +Requires: python3-tensorflow-hub +Requires: python3-tensorflow +Requires: python3-bert-for-tf2 +Requires: python3-tf-models-official +Requires: python3-bert-for-tf2 +Requires: python3-tensorflow-hub +Requires: python3-tensorflow +Requires: python3-tf-models-official +Requires: python3-transformers +Requires: python3-torch +Requires: python3-opencv-python +Requires: python3-moviepy +Requires: python3-fairseq +Requires: python3-fastai +Requires: python3-imageio +Requires: python3-librosa +Requires: python3-moviepy +Requires: python3-mtcnn +Requires: python3-numpy +Requires: python3-opencv-python +Requires: python3-pytest +Requires: python3-requests +Requires: python3-scikit-image +Requires: python3-sentence-transformers +Requires: python3-soundfile +Requires: python3-sphinx-rtd-theme +Requires: python3-tensorflow +Requires: python3-tensorflow-hub +Requires: python3-tensorflow-text +Requires: python3-pytest +Requires: python3-sphinx-rtd-theme +Requires: python3-tf-models-official +Requires: python3-torch +Requires: python3-transformers +Requires: python3-vectorai + +%description +<p align="center"> + <a href="https://hub.getvectorai.com"> + <img align="center" src="https://getvectorai.com/assets/vectorhub-goal.png" width="800"/> + </a> +</p> +<br> +There are many ways to extract vectors from data. This library aims to bring in all the state of the art models in a simple manner to vectorise your data easily. +Vector Hub provides: +- A low barrier of entry for practitioners (using common methods) +- Vectorise rich and complex data types like: text, image, audio, etc in 3 lines of code +- Retrieve and find information about a model +- An easy way to handle dependencies easily for different models +- Universal format of installation and encoding (using a simple `encode` method). +In order to provide an easy way for practitioners to quickly experiment, research and build new models and feature vectors, we provide a streamlined way to obtain vectors through our `encode` method. +There are thousands of _____2Vec models across different use cases/domains. Vectorhub allows people to aggregate their work and share it with the community. + +%package -n python3-vectorhub-nightly +Summary: One liner to encode data into vectors with state-of-the-art models using tensorflow, pytorch and other open source libraries. Word2Vec, Image2Vec, BERT, etc +Provides: python-vectorhub-nightly +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-vectorhub-nightly +<p align="center"> + <a href="https://hub.getvectorai.com"> + <img align="center" src="https://getvectorai.com/assets/vectorhub-goal.png" width="800"/> + </a> +</p> +<br> +There are many ways to extract vectors from data. This library aims to bring in all the state of the art models in a simple manner to vectorise your data easily. +Vector Hub provides: +- A low barrier of entry for practitioners (using common methods) +- Vectorise rich and complex data types like: text, image, audio, etc in 3 lines of code +- Retrieve and find information about a model +- An easy way to handle dependencies easily for different models +- Universal format of installation and encoding (using a simple `encode` method). +In order to provide an easy way for practitioners to quickly experiment, research and build new models and feature vectors, we provide a streamlined way to obtain vectors through our `encode` method. +There are thousands of _____2Vec models across different use cases/domains. Vectorhub allows people to aggregate their work and share it with the community. + +%package help +Summary: Development documents and examples for vectorhub-nightly +Provides: python3-vectorhub-nightly-doc +%description help +<p align="center"> + <a href="https://hub.getvectorai.com"> + <img align="center" src="https://getvectorai.com/assets/vectorhub-goal.png" width="800"/> + </a> +</p> +<br> +There are many ways to extract vectors from data. This library aims to bring in all the state of the art models in a simple manner to vectorise your data easily. +Vector Hub provides: +- A low barrier of entry for practitioners (using common methods) +- Vectorise rich and complex data types like: text, image, audio, etc in 3 lines of code +- Retrieve and find information about a model +- An easy way to handle dependencies easily for different models +- Universal format of installation and encoding (using a simple `encode` method). +In order to provide an easy way for practitioners to quickly experiment, research and build new models and feature vectors, we provide a streamlined way to obtain vectors through our `encode` method. +There are thousands of _____2Vec models across different use cases/domains. Vectorhub allows people to aggregate their work and share it with the community. + +%prep +%autosetup -n vectorhub-nightly-1.2.0.2021.6.2.1.17.47.427274 + +%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-vectorhub-nightly -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.0.2021.6.2.1.17.47.427274-1 +- Package Spec generated @@ -0,0 +1 @@ +abbc7f522851d1869aa92f3b8ff6cb14 vectorhub-nightly-1.2.0.2021.6.2.1.17.47.427274.tar.gz |