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authorCoprDistGit <infra@openeuler.org>2023-05-05 07:09:13 +0000
committerCoprDistGit <infra@openeuler.org>2023-05-05 07:09:13 +0000
commitbf3fada3d1a1abe684bd955f934cf849bfc4d9c2 (patch)
treeb5c2f603c7164e73e43a66744e799e7fac0b61a0
parentef28a30213b4af82ee611fe6e031e8a37ea82e0d (diff)
automatic import of python-vectorhub-nightlyopeneuler20.03
-rw-r--r--.gitignore1
-rw-r--r--python-vectorhub-nightly.spec221
-rw-r--r--sources1
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diff --git a/.gitignore b/.gitignore
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+/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
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+%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
diff --git a/sources b/sources
new file mode 100644
index 0000000..5a0e0c2
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+abbc7f522851d1869aa92f3b8ff6cb14 vectorhub-nightly-1.2.0.2021.6.2.1.17.47.427274.tar.gz